|
|
Absolute deviation, 绝对离差4 N+ j7 K# |: _, B* Q& |8 o; [
Absolute number, 绝对数
# B# `: K2 [) Q- tAbsolute residuals, 绝对残差
, P+ A8 }7 Y" C3 [Acceleration array, 加速度立体阵4 t% j( n( a2 l e) q c
Acceleration in an arbitrary direction, 任意方向上的加速度* R" W8 {1 i1 J+ R0 {! J3 l
Acceleration normal, 法向加速度
. X9 E% X* X, ^& z0 D+ HAcceleration space dimension, 加速度空间的维数
% c3 z( w9 t0 P& AAcceleration tangential, 切向加速度7 z7 z8 K8 B$ U6 @3 @; D
Acceleration vector, 加速度向量
/ X" E/ l% \ oAcceptable hypothesis, 可接受假设
0 k" B8 J8 w, r9 T/ IAccumulation, 累积 ^9 j5 z3 O5 q- L
Accuracy, 准确度+ q, V+ P# m. ^0 g
Actual frequency, 实际频数8 j; x# Q1 S; M. Q
Adaptive estimator, 自适应估计量$ J' ?( |8 q. g
Addition, 相加
+ X9 S: p, g2 [: H. T: L: o& nAddition theorem, 加法定理
! M- e6 f! O, v7 K, g: zAdditivity, 可加性
6 V1 ?! ]. c ?2 SAdjusted rate, 调整率% b7 e6 Z U3 `" W Z" v1 t
Adjusted value, 校正值: `) t' ]$ s" w" y# o
Admissible error, 容许误差
: ] g$ p! o1 ], f9 uAggregation, 聚集性
/ _5 u' v% f% N; j0 ]' S, c# zAlternative hypothesis, 备择假设! ?5 ?6 d+ S0 r2 M. D) F
Among groups, 组间; r: r2 o/ v) c! [
Amounts, 总量
" J' a4 s5 l0 LAnalysis of correlation, 相关分析
7 K/ s1 s+ x. B% C1 b! s3 U. k+ ?Analysis of covariance, 协方差分析
: l& K, c6 S; |9 ]2 A iAnalysis of regression, 回归分析# T8 z l$ }! l; _# V! d& `! S8 e
Analysis of time series, 时间序列分析
: {& r: k- }5 a$ k+ f" [: l( j. w/ UAnalysis of variance, 方差分析; I% e. [) b/ u; X
Angular transformation, 角转换. H; r; F0 m9 V0 m% d$ `8 q3 K
ANOVA （analysis of variance）, 方差分析
; C' V# B* X' @% A, @" bANOVA Models, 方差分析模型
2 _2 Z2 [( J8 iArcing, 弧/弧旋
/ u3 X4 h% `& t' g% QArcsine transformation, 反正弦变换* U5 b) W% z+ m
Area under the curve, 曲线面积, M5 p) _3 e: z! }$ V
AREG , 评估从一个时间点到下一个时间点回归相关时的误差 # x6 u: d, c: \! w
ARIMA, 季节和非季节性单变量模型的极大似然估计 , ?; \2 C/ `8 b* o
Arithmetic grid paper, 算术格纸& J) }6 l' }5 C0 n$ l
Arithmetic mean, 算术平均数
4 A. T, {' {/ L. P7 t" WArrhenius relation, 艾恩尼斯关系
- w& ?5 x) N4 t. F3 a9 l+ ZAssessing fit, 拟合的评估
$ `) {9 C6 p) B9 OAssociative laws, 结合律
# M9 G: B! H V- kAsymmetric distribution, 非对称分布
, \9 M1 Y; u6 W/ R1 ZAsymptotic bias, 渐近偏倚+ Q3 r% w; H0 _8 }2 b- s1 _( D
Asymptotic efficiency, 渐近效率4 \# o4 O; E% L1 B
Asymptotic variance, 渐近方差
! {* j0 p8 u& w+ KAttributable risk, 归因危险度
( n, k' j. [/ h$ B4 v2 q8 _Attribute data, 属性资料9 b) @( b5 W* K
Attribution, 属性7 v% W( K( G) a' Q2 n5 U
Autocorrelation, 自相关9 G; @) R0 Y K' H
Autocorrelation of residuals, 残差的自相关# R5 R; m& w7 L
Average, 平均数+ U4 H$ B. c/ `: k8 I g
Average confidence interval length, 平均置信区间长度
( N0 D; F8 k' i$ C8 aAverage growth rate, 平均增长率8 B1 M3 Y) a) d# p3 O3 t
Bar chart, 条形图! K( I$ ]2 j, r$ n) `3 L
Bar graph, 条形图
5 w6 C2 f e Z# [0 o/ S1 p" {Base period, 基期) q }& W8 b' t; T0 D+ e# k
Bayes' theorem , Bayes定理8 l N( s, O. I7 r
Bell-shaped curve, 钟形曲线
0 `, T) a3 q" Y5 Y |, PBernoulli distribution, 伯努力分布- V* i3 L* B( V- m" ?; T
Best-trim estimator, 最好切尾估计量
) {; G' l6 n! b/ rBias, 偏性% ?; U. I8 ~* s: Z/ U* L
Binary logistic regression, 二元逻辑斯蒂回归
, R' k) P' P( Y% Y8 j# gBinomial distribution, 二项分布
! y8 ^. J+ ?# z5 v, x! r2 y2 \1 ]5 UBisquare, 双平方
. e. P8 @$ z D" Y5 V# eBivariate Correlate, 二变量相关 f. k5 ] S4 j+ M, b- m
Bivariate normal distribution, 双变量正态分布8 H2 M+ I( i# f
Bivariate normal population, 双变量正态总体
+ `# g2 j r! e% l& j3 J) O4 `+ D! SBiweight interval, 双权区间: \6 e& r1 J: f- g4 F
Biweight M-estimator, 双权M估计量% O( ]. _4 M* L5 ]% Q7 V$ o
Block, 区组/配伍组
+ f$ p0 U0 n4 o: ^( d! rBMDP(Biomedical computer programs), BMDP统计软件包
0 S" {. |9 r7 b; B6 j Y) ~Boxplots, 箱线图/箱尾图1 l9 _% C4 K; R3 B6 s9 e. q ?* _
Breakdown bound, 崩溃界/崩溃点
& y0 L. G) Z5 S) O7 }& `% L8 H6 w/ pCanonical correlation, 典型相关# V- C ~$ Y7 v; x% O2 i
Caption, 纵标目! Z/ A$ z# ]( i1 K) u0 E# c
Case-control study, 病例对照研究
6 N$ \/ e& U: z2 E/ OCategorical variable, 分类变量: G: l$ J( d( ?1 \
Catenary, 悬链线
) M% l$ E7 G; V4 VCauchy distribution, 柯西分布' p& o% c& b- w; G' B0 R/ O- S1 t; Y, ?
Cause-and-effect relationship, 因果关系- b% ~2 K0 N0 `, v& ^. a- Q- x( t
Cell, 单元6 g7 A$ ^: G, u: x+ U$ b2 K
Censoring, 终检/ @" y, @- }) v( O# G; c+ n! e
Center of symmetry, 对称中心7 w& ^' }% [' K) |* Q
Centering and scaling, 中心化和定标
; I# k; \- _; r' O0 CCentral tendency, 集中趋势* V2 Y& c4 \9 l: _, @+ f
Central value, 中心值
# J9 V" d( C; m. `6 V) I$ R4 g* A0 q( RCHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测
, n& D5 A. J1 X' i( [Chance, 机遇# | D( s+ \6 w. B/ T
Chance error, 随机误差6 s; [' X k) l! z' N# A
Chance variable, 随机变量
) k+ C, ~8 ~: Q) N+ i) |/ r2 kCharacteristic equation, 特征方程8 ?' y7 R3 l0 y6 K9 B
Characteristic root, 特征根
2 o; Y* l, L! j- H% m8 t! OCharacteristic vector, 特征向量
# j2 v5 l! p/ H; T: K8 [3 XChebshev criterion of fit, 拟合的切比雪夫准则
* g) e/ P9 D1 XChernoff faces, 切尔诺夫脸谱图8 E3 u* P5 D! c6 E+ }
Chi-square test, 卡方检验/χ2检验
0 J( }- a# b# eCholeskey decomposition, 乔洛斯基分解
3 f, b0 b. q" B+ E! M& v! \4 VCircle chart, 圆图
! g0 `: ]6 A1 T1 G- [" p7 O! z) ^Class interval, 组距
2 `: I- Q( c1 vClass mid-value, 组中值
# [) Q3 F, Y" T4 S3 z5 iClass upper limit, 组上限
2 f ?) j9 \3 x, B& G% [' ~Classified variable, 分类变量
' D( ~+ c) v1 T; D+ hCluster analysis, 聚类分析
' n! p3 A, P: E" ?3 p; ^7 pCluster sampling, 整群抽样" m i8 F, w) X0 I6 S
Code, 代码
* _, A; t9 \9 @/ E: e' zCoded data, 编码数据
p5 m' `" q: F2 z5 F wCoding, 编码8 t$ K9 f9 o8 z* D
Coefficient of contingency, 列联系数
9 v) L: v- d8 T) P! J% w4 a4 RCoefficient of determination, 决定系数1 P- f1 ]. S8 g: ~' C* T' S/ `! b
Coefficient of multiple correlation, 多重相关系数+ z# t2 \3 o9 a, W) t
Coefficient of partial correlation, 偏相关系数7 S$ H( w$ I' j
Coefficient of production-moment correlation, 积差相关系数, u% b" b; w9 a' l) K7 w
Coefficient of rank correlation, 等级相关系数
% m' F5 ?& b, G6 K" R8 }8 RCoefficient of regression, 回归系数! R. f3 P F+ k' Q2 K
Coefficient of skewness, 偏度系数
: M" w7 f9 ` I/ v: e7 l" |Coefficient of variation, 变异系数
8 t7 E* `$ o. r; [' T$ F4 s7 [. QCohort study, 队列研究) q3 x4 q* Z% A; c$ `5 |
Column, 列6 I6 ~$ g& J# p9 g! O
Column effect, 列效应
/ G* y0 q2 k+ x5 [5 PColumn factor, 列因素
7 W) w1 l2 U* w1 \ |Combination pool, 合并
/ h! f/ Z7 q1 o9 {1 zCombinative table, 组合表
" p& V5 R. L9 B l- ~/ x! sCommon factor, 共性因子
4 [. s: z+ [+ L& m8 `Common regression coefficient, 公共回归系数
9 b! U: f; a( fCommon value, 共同值% z6 g# g5 d( O
Common variance, 公共方差 l" W0 _( a/ u# W a; v. j
Common variation, 公共变异
! }. E& q9 z2 r4 ]- @% k& CCommunality variance, 共性方差
1 U$ Z8 S. j; n, G. Q0 S- h" m# rComparability, 可比性
0 k1 P3 n1 s- E! y4 A+ aComparison of bathes, 批比较! Q$ s0 f% W8 I, d
Comparison value, 比较值
9 {# A- v% g" ?$ H/ R0 a) A7 ~Compartment model, 分部模型" B2 k" C7 v2 J6 d- f# b g4 J
Compassion, 伸缩
# K$ u) w+ @ w# x8 B7 NComplement of an event, 补事件' D! |7 o( v2 h# c+ }, A. w1 y
Complete association, 完全正相关
2 E2 K6 `) W# t& k1 c& D w! x MComplete dissociation, 完全不相关
, W5 m, r1 t u3 e' H7 KComplete statistics, 完备统计量3 a! Q3 h- C K) n
Completely randomized design, 完全随机化设计
4 p9 {, ~/ Z6 Z6 C- VComposite event, 联合事件
0 s; V' j3 t& yComposite events, 复合事件5 Q+ w* f2 }6 ]$ m) e
Concavity, 凹性
, l) [- @% @" T3 F6 s; ]# e; AConditional expectation, 条件期望+ @2 u2 C( O" A3 l/ w+ s3 C
Conditional likelihood, 条件似然 v% ]" G0 _% E
Conditional probability, 条件概率
( j8 O4 B& J: A/ J( pConditionally linear, 依条件线性
5 m0 ?+ W0 U' m, A4 EConfidence interval, 置信区间9 V9 [0 J( ]" O
Confidence limit, 置信限
3 k2 F9 P6 b6 VConfidence lower limit, 置信下限( M% L# M& H a# a; A# {) ?
Confidence upper limit, 置信上限! o! d3 \- J4 n( t6 e% j
Confirmatory Factor Analysis , 验证性因子分析
/ [ S4 L* H1 b H$ ^* lConfirmatory research, 证实性实验研究
; e: K% [: `) e# l1 t1 p" rConfounding factor, 混杂因素7 [" x& J$ r+ r" y5 T! k
Conjoint, 联合分析3 Q$ z# Z8 c0 e4 r6 w, G
Consistency, 相合性
/ i" U1 p$ G1 _4 U) bConsistency check, 一致性检验# d, P7 Z" J. m/ k" w/ c
Consistent asymptotically normal estimate, 相合渐近正态估计
$ _6 j2 V: o& G" M% G3 fConsistent estimate, 相合估计
0 J4 J2 W: d q* B9 Q5 e: MConstrained nonlinear regression, 受约束非线性回归
7 D O+ u* f+ K& ?& v3 GConstraint, 约束
8 I. a* w5 P. |4 D5 B. CContaminated distribution, 污染分布
3 N+ E4 K$ o7 O# L# [Contaminated Gausssian, 污染高斯分布1 f7 h6 W# r& g7 F( f
Contaminated normal distribution, 污染正态分布* F9 }. I& [+ ]$ e6 `
Contamination, 污染
' N6 i; S7 q. q, R; uContamination model, 污染模型$ j' T$ C0 S1 \0 D# k1 y
Contingency table, 列联表% @3 ?# x$ |4 G; |! w4 v
Contour, 边界线
" F% P7 g0 z" UContribution rate, 贡献率
" V% I+ u5 Y% O7 T% J6 X2 K3 I3 k& tControl, 对照
" Z4 e, z( s0 | h2 k& n. Q( D3 eControlled experiments, 对照实验
$ X' j/ G! O( q1 M2 ?7 z0 z BConventional depth, 常规深度" a8 o7 w5 Z1 P" a+ G& e
Convolution, 卷积
- i2 H7 `6 b# k: ^Corrected factor, 校正因子3 m L* r: \) L' P. f8 |3 h6 [
Corrected mean, 校正均值
9 M: f! o" q: I2 W' E2 ICorrection coefficient, 校正系数
) @& ^ r4 c- V s, L/ v$ LCorrectness, 正确性& ~0 g" u, E' C
Correlation coefficient, 相关系数7 V# q- B* e# Y! |
Correlation index, 相关指数' y* s! Q& m; ~5 O9 j+ u
Correspondence, 对应
* y4 l# ~1 V4 Z0 bCounting, 计数
/ |- c, u* f( a+ [4 r+ i( X/ tCounts, 计数/频数: d5 E0 J6 d, I$ p8 U
Covariance, 协方差6 s l$ z1 g7 A8 G& G/ {
Covariant, 共变
. `; K7 q' u/ y* p% |Cox Regression, Cox回归
" i" A# [8 K' d L3 k' c1 dCriteria for fitting, 拟合准则" @0 J5 |9 e% j: m7 a3 X
Criteria of least squares, 最小二乘准则$ p, J4 T9 o3 g7 T% I; k1 \
Critical ratio, 临界比
* ?2 d1 m- |6 s/ T- o+ B0 P, k2 `/ HCritical region, 拒绝域
t3 r, y! d5 j/ K, CCritical value, 临界值4 L; H0 _% V7 j
Cross-over design, 交叉设计
/ ~; r' w G0 m- @. V, HCross-section analysis, 横断面分析
2 R+ V5 x w' ACross-section survey, 横断面调查
, W5 ^: \: @: Q$ Z+ z9 Q; CCrosstabs , 交叉表 : I5 |$ |3 m$ i+ ^; |2 s7 K
Cross-tabulation table, 复合表% K; n' D" l& I; i+ x B7 z) Q F
Cube root, 立方根
" a' ?! f: t9 a. f2 n2 e7 `Cumulative distribution function, 分布函数1 I2 x$ a/ w9 }3 U
Cumulative probability, 累计概率
5 S3 Y7 `; I& WCurvature, 曲率/弯曲
+ s' n x- ^8 v( Y; k( VCurvature, 曲率; [7 `' p4 ^2 c2 U9 ?
Curve fit , 曲线拟和 ; h1 ~; r7 O. V
Curve fitting, 曲线拟合# k& t9 E, U8 D9 R b2 |
Curvilinear regression, 曲线回归& a# W( Y3 J% T; X' d
Curvilinear relation, 曲线关系$ U. i! {' M+ D# B
Cut-and-try method, 尝试法
: H- ?" M3 Y4 Y6 A" H. x1 ECycle, 周期- {0 M/ l7 _2 N, u/ H& f
Cyclist, 周期性
# a/ _/ B( }6 b& ~1 @8 N6 @' WD test, D检验
% Z1 f+ I) A/ V9 H( iData acquisition, 资料收集
2 f" X2 V5 R0 I% h( K/ qData bank, 数据库
( u3 c- |4 v' q/ F1 h+ d: CData capacity, 数据容量
! E9 b% I- C; c3 @1 ^* ?Data deficiencies, 数据缺乏
9 i! C6 [4 t" p8 V4 xData handling, 数据处理
/ `, G8 F# H# H$ k, MData manipulation, 数据处理2 { {/ Z. m8 A K. N5 M
Data processing, 数据处理
8 o/ S' s; y, q9 B0 w% TData reduction, 数据缩减. Q( N- p: f( r- y) P: U i) H
Data set, 数据集
; F( G4 k ?6 vData sources, 数据来源
; ~: R/ o& Y4 }& l- t+ ^* Z" VData transformation, 数据变换8 K; }9 C3 {0 k, B9 z- r2 p
Data validity, 数据有效性
+ u+ z% L2 B" q2 m3 ]Data-in, 数据输入
" v2 t2 @) f; }/ x0 `3 p9 F# s, x( qData-out, 数据输出6 m% U6 Q& f3 v6 _- B
Dead time, 停滞期4 u9 c+ Z) B8 V6 ^
Degree of freedom, 自由度
) p% n- q6 Q! _6 L, B7 x# fDegree of precision, 精密度0 P/ L" Y2 G9 l- _/ @& S
Degree of reliability, 可靠性程度
; e" {5 H% m5 l3 LDegression, 递减
- h* ~, X/ F- P+ a7 @ T* F. JDensity function, 密度函数
/ c, Y( e: m: Q9 |; D$ S0 q4 bDensity of data points, 数据点的密度
: W7 K* |- [. _& CDependent variable, 应变量/依变量/因变量& n" ], p) z( ], G' b; H
Dependent variable, 因变量) s1 B- ^. n5 h0 y, U$ k1 w* f
Depth, 深度
- ~4 @/ r, U7 l+ h+ ]7 pDerivative matrix, 导数矩阵! ?& P% M7 a6 d9 P4 G: W5 u
Derivative-free methods, 无导数方法
, [& w! Y1 V+ X1 hDesign, 设计
; _7 [' X; ^ y, y+ C7 RDeterminacy, 确定性
2 Z& b) P* F/ O* EDeterminant, 行列式
( J7 g; {, P8 }( TDeterminant, 决定因素
5 N* A+ u `9 s6 x( IDeviation, 离差
( ?( |6 i# o/ Z) X( A1 @Deviation from average, 离均差+ ^! ?6 ` L v# [
Diagnostic plot, 诊断图
! q1 O; j0 H; C6 V3 g9 QDichotomous variable, 二分变量. U6 J' `( N4 p7 k$ Z, N
Differential equation, 微分方程
2 ~3 f- R' e" E4 B- wDirect standardization, 直接标准化法
0 T3 I( ~9 v3 A' GDiscrete variable, 离散型变量, Q, B, d, x0 u* [
DISCRIMINANT, 判断 4 u6 I) _6 K/ f8 w# C
Discriminant analysis, 判别分析
5 V8 ]6 r/ _, D- X' Z* vDiscriminant coefficient, 判别系数
( t) }/ m7 @- K: |) X# V mDiscriminant function, 判别值% D% L: l, ~. U1 N+ y
Dispersion, 散布/分散度
* m' j# h$ N9 c5 U- iDisproportional, 不成比例的
, ?$ }5 G5 ^+ A- O/ r) yDisproportionate sub-class numbers, 不成比例次级组含量
- o" j; _/ O& HDistribution free, 分布无关性/免分布
/ m0 x+ p& q1 n- gDistribution shape, 分布形状
" g9 A2 ]( ^! S) dDistribution-free method, 任意分布法
$ N6 S: [1 O$ O7 oDistributive laws, 分配律
4 l' U2 l# `9 S+ }7 u" nDisturbance, 随机扰动项5 A1 Z& D+ |4 ^0 ]" c1 ?* ?8 O+ y, P/ c
Dose response curve, 剂量反应曲线
. I0 i( u x9 }$ s/ r& M0 GDouble blind method, 双盲法
( d8 R' f. ]) S6 }2 ?0 VDouble blind trial, 双盲试验
; I9 N O6 |0 t2 E% S3 PDouble exponential distribution, 双指数分布/ ]. p" S) r- g+ \7 h; P* x! Y
Double logarithmic, 双对数3 G0 S: i5 I r3 s$ Q
Downward rank, 降秩: s0 m) ^+ k7 |( }
Dual-space plot, 对偶空间图3 r* w# u" v2 ]) h
DUD, 无导数方法, ]( P% v/ T' G( Y# O
Duncan's new multiple range method, 新复极差法/Duncan新法
8 r* I7 \ q8 U* c, J. `. AEffect, 实验效应0 [8 ]$ v0 N1 e4 s
Eigenvalue, 特征值
( i4 F5 J3 a/ i* F8 a Y2 DEigenvector, 特征向量
8 Z; n0 o1 k% U3 \! m, zEllipse, 椭圆
& T8 V3 l& R* a. ?/ s8 u* g" iEmpirical distribution, 经验分布 } M# @0 n' N) l+ ?0 }( i+ F( S6 x
Empirical probability, 经验概率单位
% N# \3 ~- M+ J9 Q7 k; ~Enumeration data, 计数资料
. O9 g1 F# w& |) B: Q n0 M1 ]Equal sun-class number, 相等次级组含量- N8 }, ?# ~$ L- r4 g: Y7 I
Equally likely, 等可能
. b6 C) Y! j" y- o% LEquivariance, 同变性: K& t0 ^+ _ h. C. ]2 Y7 I
Error, 误差/错误
0 P1 h( s- R+ M7 Q( |Error of estimate, 估计误差
* f. @- L8 D& ?7 GError type I, 第一类错误( I P( Q& s# A6 p
Error type II, 第二类错误
9 C8 d: B- G6 u# u. g$ ]Estimand, 被估量
$ D. g3 T" Q6 ~3 i2 v% EEstimated error mean squares, 估计误差均方
" J' e& v5 C* C. V# a2 nEstimated error sum of squares, 估计误差平方和
: ^6 x$ _1 `; NEuclidean distance, 欧式距离+ z5 c. u: e- H' D$ C" p
Event, 事件
9 R# F) q9 b0 s3 [/ q& \2 EEvent, 事件2 t' J. _8 m- }. M( b7 g9 T+ W
Exceptional data point, 异常数据点0 |, C0 x9 f7 g7 y
Expectation plane, 期望平面4 E9 m2 O/ Y$ j& w
Expectation surface, 期望曲面: P E) y; g5 B; n: r% m) p% J
Expected values, 期望值7 H6 @/ N v3 x5 m9 T7 X7 H9 z5 P
Experiment, 实验. \/ X) Y; _- Y8 f9 u- L9 F
Experimental sampling, 试验抽样& X1 z; v3 [7 q8 q
Experimental unit, 试验单位
7 a. D' q O* [, xExplanatory variable, 说明变量/ R8 S6 T# v8 e# ^3 d7 [" B
Exploratory data analysis, 探索性数据分析, a8 d" w9 ^: }3 t
Explore Summarize, 探索-摘要, ~" d+ s* [6 L
Exponential curve, 指数曲线& l5 Q( d `3 c- j* w2 n
Exponential growth, 指数式增长! }) u; i: Z' h
EXSMOOTH, 指数平滑方法 - _. E7 h# k5 z: {( |
Extended fit, 扩充拟合9 p0 L! ~. u1 Z+ c' z7 B
Extra parameter, 附加参数7 r4 d) G( e- {8 n; |
Extrapolation, 外推法2 x& ` W/ [! K
Extreme observation, 末端观测值
; q$ a+ I) O: n. b. FExtremes, 极端值/极值0 P1 M) u; H6 g1 M
F distribution, F分布9 T' T# o# Y- Y8 A' L$ L" S
F test, F检验. n% V5 c& r- v1 ]0 t+ V, S/ g
Factor, 因素/因子
- C* h f& ? w4 rFactor analysis, 因子分析
9 x: l% i7 o! i' W( f( CFactor Analysis, 因子分析
/ H4 x+ n# [. QFactor score, 因子得分
; R. V" d; K( Q2 FFactorial, 阶乘
) }& i/ |7 T. l; r( ~) `Factorial design, 析因试验设计- i8 q8 n' H/ `* b2 w
False negative, 假阴性
& V; |6 R0 ^, f6 q6 n2 }8 lFalse negative error, 假阴性错误& |4 H$ C3 J! i3 [' v+ c
Family of distributions, 分布族
2 f0 t0 H' \- |% X kFamily of estimators, 估计量族6 m7 r& d8 C$ w' f# Z; c
Fanning, 扇面
% O$ S' i8 e. X7 s1 Q" XFatality rate, 病死率( V9 c; _1 W. c& l' L6 o
Field investigation, 现场调查6 T% O! Z* x) `
Field survey, 现场调查
/ C& T) D8 G* c5 H8 Z. xFinite population, 有限总体% {, l9 C7 q/ l
Finite-sample, 有限样本# `6 N- S6 ?7 c
First derivative, 一阶导数0 A4 p# c. H3 y" q( I
First principal component, 第一主成分6 P8 L- P/ v& O6 F' {8 v2 j- ^
First quartile, 第一四分位数
6 Z" a# I$ D" @* QFisher information, 费雪信息量
5 B+ {% g# {6 S" \6 j( RFitted value, 拟合值, f9 J# q4 \% f- f0 \) A
Fitting a curve, 曲线拟合0 q. S, u/ N+ ]4 }; _4 J
Fixed base, 定基9 M* K' S1 v# @) K9 e% s
Fluctuation, 随机起伏$ g. y0 o( v# H6 `6 q6 G
Forecast, 预测. k1 l; P, V6 M' s( ^! R, p. c
Four fold table, 四格表
0 t) A' z; c! ]Fourth, 四分点
$ X$ O4 y: |/ G% q- |/ Y0 H/ \Fraction blow, 左侧比率) A# \: m- w: J' N! s9 q
Fractional error, 相对误差
, K+ w6 _' s. t. z+ UFrequency, 频率
0 M, w/ ?- m3 U' BFrequency polygon, 频数多边图
) J) }9 d' w E8 S+ s0 \+ x: iFrontier point, 界限点
! O+ k$ n( e" d5 w" jFunction relationship, 泛函关系
, H8 Q0 q. W$ B" \Gamma distribution, 伽玛分布
. c4 \6 `. a' VGauss increment, 高斯增量" M1 |6 c9 r4 }6 N7 m4 O4 T
Gaussian distribution, 高斯分布/正态分布
' F/ ~+ _2 o1 c2 x7 fGauss-Newton increment, 高斯-牛顿增量
+ }) R3 k9 q' C; z+ ]General census, 全面普查
& v, Z& M: G5 R. V. x4 K: G9 k- P$ s- CGENLOG (Generalized liner models), 广义线性模型 3 \6 Q& h H- y4 i
Geometric mean, 几何平均数; w3 X1 g. J8 S9 K4 Q
Gini's mean difference, 基尼均差6 L1 ^; E3 B$ B8 m* _1 ?0 }0 V
GLM (General liner models), 一般线性模型
5 |) y; A/ C0 e" J" W9 b0 iGoodness of fit, 拟和优度/配合度
- K" s; \: l i! H) Q" s0 c% R5 } TGradient of determinant, 行列式的梯度
0 d4 r% s ?4 l6 dGraeco-Latin square, 希腊拉丁方5 {, f! z' z# p+ C9 S( S" {
Grand mean, 总均值
. H. A9 C, O8 z$ t. u1 VGross errors, 重大错误
, O7 Z$ U- l& K5 nGross-error sensitivity, 大错敏感度* | G- `5 u% Q6 N, f. b/ q
Group averages, 分组平均
$ A% Z! W1 K! h8 k6 kGrouped data, 分组资料
0 e O9 I3 \' i) Y' h' s6 ]- GGuessed mean, 假定平均数" q" c. x/ e9 S0 X+ K w! A, |
Half-life, 半衰期
. I% n& W* ^( P6 [Hampel M-estimators, 汉佩尔M估计量. W4 E* T! H: h2 l/ }" |- L$ k0 A' w0 j
Happenstance, 偶然事件
' }5 F( ^: f9 g% kHarmonic mean, 调和均数
) z, r; F b- d2 }Hazard function, 风险均数8 a: L( V. T( a9 Z _- A( R' W0 d
Hazard rate, 风险率
& L, B: j0 H& @Heading, 标目 / F' K4 X& E9 ]- h9 c; F
Heavy-tailed distribution, 重尾分布
9 k6 ^; y! l2 r. s; E+ CHessian array, 海森立体阵3 k2 |! g ]0 D% a
Heterogeneity, 不同质
" ]' E; [8 w5 A' ?, @% B, fHeterogeneity of variance, 方差不齐
5 x1 e+ v9 ^+ ?. @0 I v- pHierarchical classification, 组内分组
8 Q9 T- t0 h9 L( RHierarchical clustering method, 系统聚类法
5 R8 [3 r6 O" y9 R* U0 V' xHigh-leverage point, 高杠杆率点
6 I, C5 ~1 V" y& XHILOGLINEAR, 多维列联表的层次对数线性模型. w* j/ x1 K" q
Hinge, 折叶点8 \& U: @' _( @/ [8 M) O; X
Histogram, 直方图4 H' {1 c j* c4 s2 t, w
Historical cohort study, 历史性队列研究
4 r$ N& z! O! ?& j) ^Holes, 空洞
) ~( d. b( U7 y* ?/ tHOMALS, 多重响应分析9 R+ [! X+ k, L6 @' |. f
Homogeneity of variance, 方差齐性
0 a4 f- o3 w: q" W' Z3 FHomogeneity test, 齐性检验! }( V: ^" v4 o, ?" N) M" k: p" x
Huber M-estimators, 休伯M估计量$ L0 H+ M/ p; `# ^
Hyperbola, 双曲线
' v) v5 }5 c" ^; ?2 ^Hypothesis testing, 假设检验2 ^. B' T; o* Z1 Y! Z
Hypothetical universe, 假设总体; i6 P8 k3 X% X
Impossible event, 不可能事件
4 }) U) J7 A4 k rIndependence, 独立性4 L' ^, N7 B" c0 A/ z- H( w
Independent variable, 自变量
' k& Q, o9 }; J$ YIndex, 指标/指数
# a3 e5 R( J ?+ u9 w8 hIndirect standardization, 间接标准化法$ Z) z/ ~% ?8 X
Individual, 个体0 ?8 R5 ?' |) s) O: a8 n9 }) Y
Inference band, 推断带
1 T+ R- H6 M0 a7 CInfinite population, 无限总体
: L8 t' X! M& Y: |; sInfinitely great, 无穷大( E6 a& E; c+ V3 W
Infinitely small, 无穷小
! P0 y. f5 U% d4 ]4 U( HInfluence curve, 影响曲线& ]1 O$ g- z4 Q, M3 M6 N
Information capacity, 信息容量
6 q( X! t" D5 m6 x& L0 IInitial condition, 初始条件
% e: J8 @8 d* X0 o; w0 Z, s* nInitial estimate, 初始估计值3 B& t2 J6 V( o& S1 m
Initial level, 最初水平
" B t9 w: H0 w0 PInteraction, 交互作用# I+ e4 I: H' q4 u
Interaction terms, 交互作用项
5 l7 H! W4 C$ |2 @, ^4 VIntercept, 截距1 \, J9 l7 r- I: U4 F
Interpolation, 内插法
( ^. _2 z9 H* G1 n3 QInterquartile range, 四分位距. ?$ S6 Y% {& v
Interval estimation, 区间估计: j" I( u$ q; Q& E& h6 T5 W/ m
Intervals of equal probability, 等概率区间( O) p Q6 |& Z; i$ t& |
Intrinsic curvature, 固有曲率
) B j- m( r* V A6 }Invariance, 不变性 x6 e8 Q" e$ k# N2 M/ q. A" l
Inverse matrix, 逆矩阵
% p# v! R; H6 \, mInverse probability, 逆概率3 A1 p) Q! @ U' d8 H. o9 K5 }
Inverse sine transformation, 反正弦变换
9 q! \; I" [4 \0 j* {/ YIteration, 迭代
# g X' h" F8 H, l7 v* F4 ZJacobian determinant, 雅可比行列式
" ^; W. Q1 X! zJoint distribution function, 分布函数, U0 F0 r) h l: ?; o
Joint probability, 联合概率4 E6 X/ o/ S: D8 @, ?* n6 p" V7 m- H0 s
Joint probability distribution, 联合概率分布2 M+ I. c" E3 G2 ?- B8 G1 w4 G4 f
K means method, 逐步聚类法
( ] z1 ~' v' ?. T: e0 ~Kaplan-Meier, 评估事件的时间长度 ; l2 L! I* X/ x U e4 m: R
Kaplan-Merier chart, Kaplan-Merier图
+ r+ g+ d6 Y5 t- n# b; ]Kendall's rank correlation, Kendall等级相关* l+ H) \; x1 j; k
Kinetic, 动力学6 e( M, s- P/ v* V
Kolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验 p |" o. s( M7 }: w( t4 L6 H1 B
Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验
* g4 j5 I1 m$ Q: ^Kurtosis, 峰度4 ~* B" R' l7 [; B& H6 t5 q+ E
Lack of fit, 失拟
0 O Z3 r8 `" X8 u4 g1 qLadder of powers, 幂阶梯" r' L6 q$ u1 ?1 }' e! y% J0 ]
Lag, 滞后
% x! q, Z5 e8 }6 U0 u& C8 F' g# J! iLarge sample, 大样本6 h3 E) U& n0 ?8 l- D3 Z* A V
Large sample test, 大样本检验# }7 }7 E8 p* m% P. X/ Y
Latin square, 拉丁方
2 e+ q0 g% ^9 @4 o( V2 W C, rLatin square design, 拉丁方设计
* u( ]* N8 ]/ y/ }% x: w& F0 o% F9 QLeakage, 泄漏
! \$ Q+ |6 t6 L4 X7 x4 \0 ^Least favorable configuration, 最不利构形
+ j4 A- p8 i q6 x. ALeast favorable distribution, 最不利分布
( b( t" u* M! T* j* q e! kLeast significant difference, 最小显著差法' ~: U$ }* }0 G5 |
Least square method, 最小二乘法
% D& ^# E1 O9 mLeast-absolute-residuals estimates, 最小绝对残差估计- L- n' Y1 O; y; O# ]1 M
Least-absolute-residuals fit, 最小绝对残差拟合: A" x& ^" y2 `$ H* i
Least-absolute-residuals line, 最小绝对残差线. C. J) W+ D' m7 |2 e. g. K! J- m2 M
Legend, 图例
3 G8 w+ J2 v# G' N8 w/ k* nL-estimator, L估计量
2 \6 }7 I# x; YL-estimator of location, 位置L估计量
: J# |; W1 W7 T9 k4 e8 o3 hL-estimator of scale, 尺度L估计量
' C4 G( |- w @* j+ q) g# J9 PLevel, 水平
1 K4 R7 n2 a7 N1 C% eLife expectance, 预期期望寿命' ^ j! D" a4 `' q, A
Life table, 寿命表
) L+ n; O { Y. PLife table method, 生命表法
$ |+ I, v7 [7 o/ ^Light-tailed distribution, 轻尾分布
9 ~) |5 L2 N' m/ r$ B" l, `Likelihood function, 似然函数
|. z- d6 A- j" P; }2 vLikelihood ratio, 似然比" y* s% @, h$ }1 k- u3 Y3 g
line graph, 线图
; k: ]4 x7 |* U# L! j! nLinear correlation, 直线相关
/ v6 M, W! I& nLinear equation, 线性方程
8 |; O8 b ?+ j6 ]Linear programming, 线性规划" }" R9 x+ r3 k' c" }( |9 `
Linear regression, 直线回归
7 \( j; L; a, j1 j, _1 OLinear Regression, 线性回归3 R. Q4 K" `3 N
Linear trend, 线性趋势1 A8 C: f/ j5 E2 M& O
Loading, 载荷
' d; i. V; B+ j* K9 R; mLocation and scale equivariance, 位置尺度同变性/ I9 r7 C4 q' C1 O
Location equivariance, 位置同变性% M/ f+ r1 h" N( | x
Location invariance, 位置不变性
) e! t ?6 v# d! `# I7 BLocation scale family, 位置尺度族
# t' Y! u7 v$ M0 B0 sLog rank test, 时序检验 : q2 _6 E+ [6 r: _/ M
Logarithmic curve, 对数曲线
8 L, i$ l" [ P* g' kLogarithmic normal distribution, 对数正态分布
0 F5 P$ q& I+ A, x/ ^: sLogarithmic scale, 对数尺度. R: |. O* R: f/ e& \8 ?# E( N) ]4 d
Logarithmic transformation, 对数变换
! _3 ~/ J2 v) m0 c- JLogic check, 逻辑检查
( L2 A( l( ?9 B! w5 G( tLogistic distribution, 逻辑斯特分布5 E O0 p/ T C9 v/ _& }& ~; u/ K
Logit transformation, Logit转换" z O+ D- {% K# x/ L1 l' D
LOGLINEAR, 多维列联表通用模型
1 A5 |# s$ J4 e5 B' `# C9 y0 l0 Y3 }: tLognormal distribution, 对数正态分布
. O2 S3 S! z4 l2 u1 ?2 BLost function, 损失函数
5 V: _- W. d; vLow correlation, 低度相关+ O" v- P: W9 W
Lower limit, 下限
* ]. ] L- g! yLowest-attained variance, 最小可达方差
5 `; O) i" o+ K$ a3 F9 V/ E5 sLSD, 最小显著差法的简称4 v5 b- g9 F7 N+ j: X
Lurking variable, 潜在变量2 p1 n% u6 M N3 w' h! T x, k
Main effect, 主效应- P3 Y, Q0 Y# D3 b
Major heading, 主辞标目
) \" N' x v5 V7 U: TMarginal density function, 边缘密度函数
6 n; C' M" G j; f# \/ A1 `8 EMarginal probability, 边缘概率* Q' a% p9 K5 t6 g4 C6 R
Marginal probability distribution, 边缘概率分布( Y3 o# I% ^. F0 g* _
Matched data, 配对资料
$ f* \; e% x" D) \) z6 TMatched distribution, 匹配过分布
- a( s2 W# I6 p# A: j* I5 @; ]Matching of distribution, 分布的匹配
0 ^1 V9 T& d: h+ O3 RMatching of transformation, 变换的匹配1 e- B7 R9 e: j: ~$ u# a
Mathematical expectation, 数学期望( r5 t0 G O: J8 i* r; h* U
Mathematical model, 数学模型, [& a/ O. ~/ q+ J" J; q
Maximum L-estimator, 极大极小L 估计量, S& k$ Z1 }* h8 B3 f4 {
Maximum likelihood method, 最大似然法
% W2 k" O) q5 q0 ~' h7 K5 h1 {) E9 r8 A( rMean, 均数
4 s; g) ^# K! [5 p$ zMean squares between groups, 组间均方
; J3 Y& L. p3 z- AMean squares within group, 组内均方
4 [0 t5 C% }! R- VMeans (Compare means), 均值-均值比较
& I o/ B4 L, v c# \7 u3 G* u9 f+ KMedian, 中位数
& W+ \* G% r9 D$ d) ~1 F' [Median effective dose, 半数效量" L1 P3 }9 Z9 R( C v
Median lethal dose, 半数致死量
0 m% O4 V! B- R0 {$ `) BMedian polish, 中位数平滑
! X0 J/ D2 ~( }* S) n! rMedian test, 中位数检验! |( T; U" z" L
Minimal sufficient statistic, 最小充分统计量3 M0 I P: L; F5 Y
Minimum distance estimation, 最小距离估计
& V" s% N2 {0 X; q2 Q) n5 a2 I4 B/ nMinimum effective dose, 最小有效量" r6 w9 d4 `- A/ W& X" v0 D: J2 J
Minimum lethal dose, 最小致死量 |- G+ Z, E' l: C0 X! ` _% Y1 |1 |
Minimum variance estimator, 最小方差估计量
3 E) }9 c3 F- _/ O6 @$ yMINITAB, 统计软件包 W) k3 s# {, q; ^' ~
Minor heading, 宾词标目$ c! P: k/ c0 v5 v0 n! P# J9 e7 k
Missing data, 缺失值
! h9 f8 ]& O! W l' T2 UModel specification, 模型的确定
+ e# q) o% g( ?2 y# @Modeling Statistics , 模型统计
8 ?- |, G. S8 w# b# H5 |5 hModels for outliers, 离群值模型
+ N2 a l! f& }/ \/ q5 W* QModifying the model, 模型的修正; j1 a2 e4 ^8 n9 c, @( I8 ^
Modulus of continuity, 连续性模
& T9 }4 Q/ g: `& j- ]Morbidity, 发病率
3 A4 D% |0 k6 ~3 L) K) JMost favorable configuration, 最有利构形# ?+ M: ?5 s6 i# R G |9 w3 `
Multidimensional Scaling (ASCAL), 多维尺度/多维标度# p3 v" A& k! G- S S5 V
Multinomial Logistic Regression , 多项逻辑斯蒂回归
F l- w; t, ~& o( H. f3 TMultiple comparison, 多重比较; z; G1 {9 I1 J6 B) ~2 c7 V
Multiple correlation , 复相关7 J7 ]: @: [$ ?. n7 X9 L7 w
Multiple covariance, 多元协方差
6 k3 C! }! \0 c- ]7 X4 ?. GMultiple linear regression, 多元线性回归
2 \9 R( }+ q6 o; ?- PMultiple response , 多重选项
& ]3 j6 R- F0 N( e6 ~& oMultiple solutions, 多解( A- Q& c: o6 o5 f! ]6 f4 I
Multiplication theorem, 乘法定理9 N- F1 X4 r p* k* J) E5 s
Multiresponse, 多元响应
5 R% B/ [4 S: F5 PMulti-stage sampling, 多阶段抽样. h* k7 i/ s& c% G
Multivariate T distribution, 多元T分布
8 o+ k4 J5 _; H# X2 J" I' SMutual exclusive, 互不相容" W3 Z0 m! f$ `
Mutual independence, 互相独立3 e, Q: `, X6 P
Natural boundary, 自然边界
( v/ N& V, g# BNatural dead, 自然死亡2 K2 S- c1 `8 s6 v, E
Natural zero, 自然零
' D+ U- x8 o5 k7 QNegative correlation, 负相关; @8 |# I' x- ?0 p
Negative linear correlation, 负线性相关
+ W. B# j# ~) ^Negatively skewed, 负偏& C' \$ ~! a0 T# t
Newman-Keuls method, q检验
0 `6 C' E( }0 J% ?7 l2 rNK method, q检验2 e+ `2 _( ^/ ?# D3 j% ^
No statistical significance, 无统计意义
' k/ q: G d7 y9 dNominal variable, 名义变量# d |) `- \9 M
Nonconstancy of variability, 变异的非定常性8 p8 O* z; s- m N0 c5 [8 ?
Nonlinear regression, 非线性相关
7 O- k. d$ |2 |& K5 o+ RNonparametric statistics, 非参数统计
* x% r; `; ~& T6 k, qNonparametric test, 非参数检验
# t8 [0 l5 n7 q j0 M: D) SNonparametric tests, 非参数检验7 Z. B7 o0 l( A5 ]7 m6 _) d
Normal deviate, 正态离差
% v% S( |0 {" B1 d7 V mNormal distribution, 正态分布$ q$ N, b3 f! D: U8 _
Normal equation, 正规方程组
) d0 ?' {. H7 G& O GNormal ranges, 正常范围( e+ @5 {$ Y& f. F& F
Normal value, 正常值9 v0 h' n! A* z3 @ J) N! j) A
Nuisance parameter, 多余参数/讨厌参数
% _9 m0 N0 e9 P. O) W( nNull hypothesis, 无效假设
@" J' J( s* j. p* k9 ONumerical variable, 数值变量7 V8 T% U5 E# A# I: X1 \
Objective function, 目标函数. @% p% T5 `; M/ a$ n# b
Observation unit, 观察单位" z3 Y; ^: J" z
Observed value, 观察值5 j' \+ a# ~1 M3 [' N1 y
One sided test, 单侧检验& i( o5 B3 Q4 T: S% w" D
One-way analysis of variance, 单因素方差分析
# M1 Z+ W2 z& |4 \# A" \Oneway ANOVA , 单因素方差分析: J2 c- E1 o- g2 g1 `
Open sequential trial, 开放型序贯设计$ V. L. n0 `* c5 N* G
Optrim, 优切尾" L* j: ?- P+ Q* l- Q, ^
Optrim efficiency, 优切尾效率
# J5 ]8 d- d3 a# A8 JOrder statistics, 顺序统计量
% D3 o% E# E, O7 cOrdered categories, 有序分类
7 {* r8 t% a' P5 YOrdinal logistic regression , 序数逻辑斯蒂回归
0 D* J- t) Y0 c- GOrdinal variable, 有序变量3 u1 l: H9 a. |+ J& K& Q, ]8 k
Orthogonal basis, 正交基# d3 t, y7 _5 y8 ]* p
Orthogonal design, 正交试验设计
" i3 w1 J1 W3 x+ ~' |6 B& y9 EOrthogonality conditions, 正交条件
% z: }- i, H: vORTHOPLAN, 正交设计
; G/ b; y, v0 ~* ] ~6 H2 L- @Outlier cutoffs, 离群值截断点, \3 F6 ~" _$ m5 j9 W! C
Outliers, 极端值0 c/ D& q4 y$ ~% Q$ w( |
OVERALS , 多组变量的非线性正规相关
! S. u/ ]) i' I/ M: g: y" tOvershoot, 迭代过度
5 s z4 U0 B) h$ bPaired design, 配对设计' F+ N" M* D* O% b5 N
Paired sample, 配对样本
1 p1 u8 G; w2 W' |) hPairwise slopes, 成对斜率
4 Q6 b' A& {) C% n( n' E# \, z wParabola, 抛物线
' U9 E& L# n+ _( G$ OParallel tests, 平行试验( O; U! Y* F6 Y3 W5 `. o0 U" a3 |
Parameter, 参数
! ?$ w& W. |& C F) CParametric statistics, 参数统计% ?" _ \1 @: @: t& G0 t
Parametric test, 参数检验1 K* n0 N/ `) W
Partial correlation, 偏相关4 ^7 Q }" z4 s
Partial regression, 偏回归; i) O& n) X. u6 i' a0 b
Partial sorting, 偏排序
; c, _4 \8 j* N( v3 f: VPartials residuals, 偏残差
: G. V ^8 [0 Q3 |* \4 f& PPattern, 模式) t0 M2 S. R" z7 C! E, t7 g& p
Pearson curves, 皮尔逊曲线7 g4 Y- O6 z) \
Peeling, 退层+ v" n4 Q, {) ^
Percent bar graph, 百分条形图
) K* z8 q' J( y! q) U h) LPercentage, 百分比
; ]8 O! d# A+ C, S- N" u9 H, R, vPercentile, 百分位数
3 \9 V, A4 A/ c- y. v: QPercentile curves, 百分位曲线
* D% g K/ _! y2 G9 Q KPeriodicity, 周期性
8 ?% n4 F0 L( g& K0 EPermutation, 排列$ } ~& T6 E! w/ ^% v# d
P-estimator, P估计量7 V6 B. E2 ]3 E4 P5 e
Pie graph, 饼图
8 S! y2 S- ]/ @; a- @3 kPitman estimator, 皮特曼估计量
5 i6 _+ z6 ~, OPivot, 枢轴量 S2 F! {9 v! `
Planar, 平坦. S1 C. d( g% C6 r* a
Planar assumption, 平面的假设7 ^. e- z4 [- R* `8 i3 a7 X( P
PLANCARDS, 生成试验的计划卡+ U }* u+ Q* z7 m" V9 t1 ~
Point estimation, 点估计8 l8 `( b; T/ [9 P g
Poisson distribution, 泊松分布, [) r( Z% b4 m. I
Polishing, 平滑
" H$ Y1 Z f" D' s% F+ [# B' Q# [Polled standard deviation, 合并标准差
9 }& }' t7 T1 z- L9 XPolled variance, 合并方差
" B( [7 K. q! [( VPolygon, 多边图
7 u: }: h- a* yPolynomial, 多项式
4 F+ k" V0 \* `$ F7 ~$ vPolynomial curve, 多项式曲线- M+ S" A) A f5 I/ _& c
Population, 总体
0 Y$ Y6 ~& M( p7 PPopulation attributable risk, 人群归因危险度
% Z$ u/ Q8 b0 o# jPositive correlation, 正相关
1 i8 L( X1 y# ]* K1 ]Positively skewed, 正偏9 X4 G: J$ @8 Q/ Z" g9 W8 E8 v
Posterior distribution, 后验分布( o/ ~9 |8 ?# [- K/ t7 K. i
Power of a test, 检验效能
3 b! O' K7 u' }; `/ JPrecision, 精密度4 _- ?9 L* I. v/ @ {, j
Predicted value, 预测值
& `) m8 `; c7 ?1 r6 c3 t0 x1 M: wPreliminary analysis, 预备性分析; L, n ~( S ~6 j( Y
Principal component analysis, 主成分分析
4 Q I1 d' d2 }, x5 d5 m, P7 `Prior distribution, 先验分布
5 a; ?# t3 }. `6 b( Z2 n$ O; c1 uPrior probability, 先验概率5 m1 o3 y/ L! X( {5 k6 ~
Probabilistic model, 概率模型
. w0 E* j1 D' d5 p& P. Kprobability, 概率- M; }; Z6 {( x% ]
Probability density, 概率密度
7 `+ y' s; W4 q3 k, RProduct moment, 乘积矩/协方差
' W9 r: r8 P! d6 xProfile trace, 截面迹图( F& j# U7 a [0 I! ~ x
Proportion, 比/构成比3 _! S9 q- B7 e( F- O! A2 g( \
Proportion allocation in stratified random sampling, 按比例分层随机抽样0 q5 e7 ^0 W# j4 x) E% ^7 w& L
Proportionate, 成比例9 V' q8 X# g3 }. ~4 [2 v2 G! r
Proportionate sub-class numbers, 成比例次级组含量; j2 b, `+ U/ y U2 J
Prospective study, 前瞻性调查
4 V* d h! `, ^8 ^Proximities, 亲近性
4 L0 [# M* y4 ~/ y _8 M5 l! cPseudo F test, 近似F检验6 o! G) `7 f c; R c
Pseudo model, 近似模型
& K6 J3 G& q2 c% m- B3 e5 wPseudosigma, 伪标准差
) C9 G1 l9 k2 s6 wPurposive sampling, 有目的抽样
, I b0 b" c7 v5 Y+ T8 W E& VQR decomposition, QR分解
' n$ P# T v/ |- C; h+ EQuadratic approximation, 二次近似5 m1 \# [/ s- ` Y3 x
Qualitative classification, 属性分类
2 T6 l0 x; \- t8 n- vQualitative method, 定性方法
. _& I% ~2 ^# Z9 x0 }. Y% ~0 w3 F% JQuantile-quantile plot, 分位数-分位数图/Q-Q图" C# K5 J- C, H/ }
Quantitative analysis, 定量分析
9 n/ _' x% Y& Y' s- UQuartile, 四分位数! K0 o! K, E+ P& _
Quick Cluster, 快速聚类
' M2 E, s: A- S9 GRadix sort, 基数排序
. m9 b4 F# c6 n+ I% M. lRandom allocation, 随机化分组2 G/ n5 c9 R: O
Random blocks design, 随机区组设计2 D3 W( J/ S7 Q& Q3 Q; e
Random event, 随机事件
# }( r+ H" H, I! P! l, GRandomization, 随机化
1 d+ c$ t' u4 @Range, 极差/全距$ H6 C% `& I4 N0 i
Rank correlation, 等级相关. J& q0 Q- T/ w: F0 w: G' l
Rank sum test, 秩和检验
! W& E0 E1 r( W1 {* K8 K9 b, q6 QRank test, 秩检验
( M8 x+ Y5 g4 A, Y5 y+ QRanked data, 等级资料9 O: M8 }& i: S* i1 x
Rate, 比率
5 l! m7 S$ ^# ^9 G1 i; k. YRatio, 比例 K8 g% Y- T1 l
Raw data, 原始资料; r E+ x! ]. J& F4 q4 E2 E. l
Raw residual, 原始残差
; b! J4 K0 _3 P' K+ c( x: ORayleigh's test, 雷氏检验0 X) g/ E& v) b; v6 U4 k m
Rayleigh's Z, 雷氏Z值 9 Q( i" s0 h% @( i, d- l: o
Reciprocal, 倒数
( E: F. B2 r& \+ F9 ]; k+ ~! L! _Reciprocal transformation, 倒数变换
" ~% m) a* u- y" B2 u& a* tRecording, 记录, [5 @! W8 i8 z- O3 T& T, V& w
Redescending estimators, 回降估计量( @ r6 a: c3 G7 Y+ F ~* j, b, v
Reducing dimensions, 降维# {( b6 H1 A* @, i, v0 H
Re-expression, 重新表达( E- t7 v5 B9 [, I; S. s0 p, t
Reference set, 标准组2 \1 G4 x* h7 ]" [+ D( N X, Q
Region of acceptance, 接受域* x" g9 Z( ?" B4 d0 Z& D
Regression coefficient, 回归系数8 q( a& Y" v6 }1 b# [
Regression sum of square, 回归平方和1 s& F; G% J; e$ J; {
Rejection point, 拒绝点+ O9 l: W0 i0 O5 O. V0 ?
Relative dispersion, 相对离散度. @. [" h2 Y8 i& t( R. \# O
Relative number, 相对数0 ]5 x2 p# \0 q9 K( b7 K3 w& J
Reliability, 可靠性
6 K9 C! {; x7 C7 Y* w# H5 ]4 q: WReparametrization, 重新设置参数
8 o: `6 z; A3 R% @Replication, 重复
- X! o6 O' Y& E! }; H7 h- cReport Summaries, 报告摘要
& {$ G* n3 a' C9 S: lResidual sum of square, 剩余平方和
/ }! o1 C2 t' C; tResistance, 耐抗性
; E: J/ j0 q- \; o6 A, `# {4 yResistant line, 耐抗线
7 _( Q" m$ |% |Resistant technique, 耐抗技术/ X6 Z+ h; I: j. i
R-estimator of location, 位置R估计量# Z9 t2 \* @$ T4 r, s- I: n
R-estimator of scale, 尺度R估计量
' v% ^. V) x4 o k) V; \7 ?4 {Retrospective study, 回顾性调查% ~, y* g& C, u
Ridge trace, 岭迹
' Q' D3 ?# U; `: mRidit analysis, Ridit分析
7 f0 H, q8 d, g" d- M nRotation, 旋转, H, ^4 u- |4 V9 I8 N0 H
Rounding, 舍入
5 C3 O7 G6 B6 }/ D- pRow, 行0 n- k3 s3 z: z' F& W) R
Row effects, 行效应, p5 A4 x$ b8 b8 Z: C7 o1 z& j
Row factor, 行因素# t; H1 n+ k: W/ C7 Q
RXC table, RXC表
3 c" A" t8 @- G" }4 \( TSample, 样本
, ^7 H& l3 r" u) ]- l' A E3 ~Sample regression coefficient, 样本回归系数0 H: n* K9 Z# J" k
Sample size, 样本量' O( t- B' V1 C8 ?! P/ X
Sample standard deviation, 样本标准差
. L$ @2 z& E/ b% N% e, {8 ?Sampling error, 抽样误差
2 G) M1 _0 e0 h+ TSAS(Statistical analysis system ), SAS统计软件包1 b; x$ ~/ a4 r; h8 Z' P
Scale, 尺度/量表6 {7 s3 m$ X0 j' s
Scatter diagram, 散点图
; y. S4 K- G) y0 @; X* ISchematic plot, 示意图/简图1 e+ K2 |, F( A; d* s
Score test, 计分检验7 ^0 X: |, g7 l; Q; m ]6 c
Screening, 筛检8 A# a( l6 m) p! l, m/ @ g
SEASON, 季节分析 + g- h+ u4 N/ ?, u& O. t
Second derivative, 二阶导数; a. y6 M% ?& `3 q
Second principal component, 第二主成分
0 v8 U- X I, f$ }1 ~( D, d; ASEM (Structural equation modeling), 结构化方程模型 $ r* D ?- B. B m- G5 I
Semi-logarithmic graph, 半对数图! Z6 H: Z* B8 y; ~
Semi-logarithmic paper, 半对数格纸6 l( Q' c6 M' t& y% {% Y% r
Sensitivity curve, 敏感度曲线
$ s R- A$ O% o7 OSequential analysis, 贯序分析
R) |# T$ _! S/ j# L* o7 O' ZSequential data set, 顺序数据集
9 B! |) {8 N$ I/ _1 @! m- \Sequential design, 贯序设计0 M' p7 c9 x( g3 \6 L3 F) Y/ C6 D
Sequential method, 贯序法0 t- _2 G7 m3 c) B0 R
Sequential test, 贯序检验法
# p1 C) Y1 |4 F# k! c8 p3 BSerial tests, 系列试验# W: t5 A3 i1 q
Short-cut method, 简捷法
( {" l- w8 w, \( ]2 nSigmoid curve, S形曲线
8 j9 w ?% K9 X# I. pSign function, 正负号函数3 `9 N! a: W1 O9 n8 _
Sign test, 符号检验% @6 b, {" B' K! |
Signed rank, 符号秩
/ W8 A# y8 r( y1 A& h' X+ @3 \Significance test, 显著性检验
+ B: L3 I6 j( W, G1 u- Z% v! JSignificant figure, 有效数字0 \5 e* S- s. y+ A% x% J' x
Simple cluster sampling, 简单整群抽样7 d. i1 M& |' H0 n# [/ N- [
Simple correlation, 简单相关
! Y8 h' G/ J# z/ L% i6 J1 P1 u! oSimple random sampling, 简单随机抽样" P5 a1 _) {0 T4 \, \9 I5 |
Simple regression, 简单回归$ h. ?3 C4 O7 n* Y) I: {; I
simple table, 简单表, ?5 S$ X* X" z( Z
Sine estimator, 正弦估计量& M9 M; n0 E4 j" i: d: e$ N4 R. ]
Single-valued estimate, 单值估计
, ^9 X J' j0 G; BSingular matrix, 奇异矩阵; H) e; d+ y+ e/ _
Skewed distribution, 偏斜分布" G9 y/ J7 ~& h3 B
Skewness, 偏度8 j1 G8 j" @& S& L3 ]9 l
Slash distribution, 斜线分布
6 k, }8 b- J& a Y% qSlope, 斜率8 S- g# B- ~1 s0 x& `: \! i6 z
Smirnov test, 斯米尔诺夫检验+ @# ^; `* p( ^; N# _! O
Source of variation, 变异来源
8 f" d0 } Y# \/ bSpearman rank correlation, 斯皮尔曼等级相关
( {% B) o) v2 C" t( C, Z2 gSpecific factor, 特殊因子
6 K% U* M& n* `Specific factor variance, 特殊因子方差5 R0 r9 J- J: L6 f7 F
Spectra , 频谱$ r3 S( s2 D& L2 P/ w4 e
Spherical distribution, 球型正态分布; [4 W2 c! O$ Q) z! Z
Spread, 展布. w! C' J! j( l& T3 y
SPSS(Statistical package for the social science), SPSS统计软件包+ J: Q1 v ?5 H }
Spurious correlation, 假性相关7 [9 U0 |5 w" z4 |
Square root transformation, 平方根变换& q( r9 G# J) n; S. N8 b
Stabilizing variance, 稳定方差
3 F, ?. R d8 a2 T7 u$ h/ IStandard deviation, 标准差; u* ^5 k7 F. b" p4 M1 u* x
Standard error, 标准误$ j2 _) x% M f e& W& D. _
Standard error of difference, 差别的标准误
. M3 D6 }. X5 g3 }. [) sStandard error of estimate, 标准估计误差
& H( e/ c1 k! d9 W9 r% RStandard error of rate, 率的标准误
5 e5 `, i6 U2 }7 M' wStandard normal distribution, 标准正态分布0 n/ F' t/ ~4 f7 F0 w2 e7 F
Standardization, 标准化
3 Y) V+ |% C1 w5 l! f7 `Starting value, 起始值7 [3 c+ z9 T* j
Statistic, 统计量, _9 h; k8 v1 K" I8 {: p' G# |
Statistical control, 统计控制& s# |: a; G5 w N/ j$ L: S
Statistical graph, 统计图
: g& K9 ]( V$ f) } FStatistical inference, 统计推断
, L$ @' w. b% b* OStatistical table, 统计表+ \9 M2 L; |8 h6 T4 g% V9 m* q( ~
Steepest descent, 最速下降法
* W9 T* I4 ], p4 {/ }Stem and leaf display, 茎叶图
7 r' a' A: [6 S. C8 }' _; CStep factor, 步长因子
3 T/ ]# p" \/ O9 t0 C# {Stepwise regression, 逐步回归
9 A6 V" y. {, C1 u) YStorage, 存8 R$ P, K/ s' ?/ R( j2 L
Strata, 层（复数）
/ t- S2 c+ _5 n! G3 M: y w( u# ~Stratified sampling, 分层抽样
( u% t7 `: U0 P$ i1 y9 yStratified sampling, 分层抽样 l: g1 ]8 h1 J% v0 F6 Q) r- T( R N
Strength, 强度/ p& B1 ~5 {4 N' f8 h+ l' E
Stringency, 严密性
$ L( `4 M& K% b* S, H: JStructural relationship, 结构关系3 ~) Z3 z& o/ u- P: S/ V. U5 y# b
Studentized residual, 学生化残差/t化残差
0 R- j) O4 P! K/ m( bSub-class numbers, 次级组含量9 A& d' K* i* p# W
Subdividing, 分割
+ h; _: G! ]# [8 |4 x' f* [Sufficient statistic, 充分统计量
) O! f F; l6 T: g% a+ d6 ]/ B& aSum of products, 积和8 \3 Q6 I4 d: X8 [! V) B
Sum of squares, 离差平方和9 J) E& a$ F4 x! M! R8 b( W
Sum of squares about regression, 回归平方和
+ ^5 A& T0 A; E+ T" q& ESum of squares between groups, 组间平方和
c# [: Y' o7 a4 \' j. E. B2 ASum of squares of partial regression, 偏回归平方和2 L2 i# H# a+ a( }; n7 S% G
Sure event, 必然事件
+ O) O! i$ d! T8 ~) z$ W$ z+ S! n; kSurvey, 调查" U1 ~8 l" g; {4 {
Survival, 生存分析
8 `3 i! X5 c: }9 n9 q- `; LSurvival rate, 生存率' v6 m9 _7 V8 c- ]
Suspended root gram, 悬吊根图+ H# i3 ^2 v3 p: w- M0 M
Symmetry, 对称- k3 P2 X% n! A% G$ U
Systematic error, 系统误差& D6 X8 p. P- v/ g' E8 w/ h0 V% F
Systematic sampling, 系统抽样) M3 A) _" p9 g% ^' L: G7 G9 x# E
Tags, 标签
, y1 H2 y4 F- X3 Y8 p. uTail area, 尾部面积
" J" s& n5 \; W$ Q! oTail length, 尾长8 V- S1 N& `* z! X1 x1 |: z" j) J
Tail weight, 尾重) g/ _5 D* d% d% x! ^, X5 I
Tangent line, 切线
% C( M5 A r" r$ o& Y8 l% ^, {; ~) oTarget distribution, 目标分布) A& Z5 m+ a5 G0 _$ O: u
Taylor series, 泰勒级数) i# Z5 W0 i* @
Tendency of dispersion, 离散趋势
; k5 W6 O# N, t1 W; ?Testing of hypotheses, 假设检验
S4 Z' X0 A0 ETheoretical frequency, 理论频数/ G( ]) A, }$ g0 Y; K9 t; k: N' ~
Time series, 时间序列
- O4 S4 G, s& t- c4 O$ N: ]$ N4 Q4 xTolerance interval, 容忍区间) L2 {. q4 T3 l
Tolerance lower limit, 容忍下限' N, U, n( r( v( d' @7 V. [: d
Tolerance upper limit, 容忍上限
/ {, T, z$ x3 aTorsion, 扰率
( L8 n, ~7 V3 P' D9 D& G# j- KTotal sum of square, 总平方和% @9 F4 U" ~4 P# E7 X4 e
Total variation, 总变异
$ ?6 _$ |- B+ b& \+ z$ ^% C, D, hTransformation, 转换
; i1 D# E6 @& J6 ~7 ]. R$ mTreatment, 处理
: ^( P( K8 O7 N+ n2 t3 kTrend, 趋势: p- C6 X* ~% x8 q
Trend of percentage, 百分比趋势
- P& ]' w2 A8 t! lTrial, 试验
& j4 j9 c9 t, ]4 W# HTrial and error method, 试错法
3 T& k7 s( a- k! nTuning constant, 细调常数
: j! q9 ~, t5 q% D# ~Two sided test, 双向检验
$ \$ `4 t( ]' z' n) Z4 J. V6 ?Two-stage least squares, 二阶最小平方. P( C1 k. \; y+ ~
Two-stage sampling, 二阶段抽样& Z, h/ a! x0 c5 v! n
Two-tailed test, 双侧检验' ^" |( W$ P( l1 B3 U
Two-way analysis of variance, 双因素方差分析- [- C( a; e2 d2 E
Two-way table, 双向表
' C! W$ y' I( g% O! TType I error, 一类错误/α错误2 V" t0 r* M+ `5 Y2 \
Type II error, 二类错误/β错误- n ?! l& z7 q' y" ^6 [1 U
UMVU, 方差一致最小无偏估计简称
2 G4 d6 Z9 E+ e" y! g7 IUnbiased estimate, 无偏估计" p& l- S! A( G
Unconstrained nonlinear regression , 无约束非线性回归
5 w6 Q: `+ b* N3 t/ g) uUnequal subclass number, 不等次级组含量
" D( w& P( i% u: T( K' `Ungrouped data, 不分组资料& w) I, E; x! f
Uniform coordinate, 均匀坐标& Q- C; k9 e: J+ P. M( R
Uniform distribution, 均匀分布: w& A; \, o; A
Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计$ I/ s( O3 E% W( ]. i) \
Unit, 单元* H5 k% s4 p3 p
Unordered categories, 无序分类; e( c, p2 e/ M+ R
Upper limit, 上限
4 W* B7 M4 C S9 u$ I- jUpward rank, 升秩+ @$ _, o7 }, |7 ?6 q8 X2 {4 }; d
Vague concept, 模糊概念
2 J% K2 ?; D ` PValidity, 有效性0 F# {/ G7 R8 G: N5 C; u) |
VARCOMP (Variance component estimation), 方差元素估计, V# v# J9 D5 q( d9 g4 t7 [) O: Q# z
Variability, 变异性
: P! ^1 o/ ]2 l& fVariable, 变量1 {/ b m- Y, J
Variance, 方差
, f$ s& Z" F. MVariation, 变异; a. ^( s' @$ x; K, F) A
Varimax orthogonal rotation, 方差最大正交旋转% K4 K* O7 j% e3 U/ T, E
Volume of distribution, 容积. n! F( d; d: R* m6 o8 n3 X
W test, W检验, Q8 u9 j- d# }7 w( U
Weibull distribution, 威布尔分布
8 G. f% v$ y' b1 P+ k) ZWeight, 权数
7 o+ E+ }/ l# N3 ]. r) X& p% i6 LWeighted Chi-square test, 加权卡方检验/Cochran检验
9 z- K5 X4 t! u7 H; R; rWeighted linear regression method, 加权直线回归
4 v; N) b4 b1 o: _4 v4 W6 AWeighted mean, 加权平均数
! a `) z5 F- o5 A3 E0 I4 kWeighted mean square, 加权平均方差' P3 |# H1 F8 l* J( E; t
Weighted sum of square, 加权平方和
8 ~, z/ R6 I# e CWeighting coefficient, 权重系数
! F* q3 {4 \0 z" E3 oWeighting method, 加权法
* f. O m! s# a7 cW-estimation, W估计量
7 K' {2 H' j3 B- ]6 zW-estimation of location, 位置W估计量
( ?, [7 f, I6 }& g2 R) |/ H0 s* h3 ^Width, 宽度
- i" x" s$ ^( B+ |( d$ f2 c' Z9 ?1 }Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验3 B; `, N, S1 m' _
Wild point, 野点/狂点' y5 u% D, x! }1 n$ [. a; X6 R
Wild value, 野值/狂值5 m5 E8 P7 Z1 D/ Z' Z r
Winsorized mean, 缩尾均值
5 w+ k! L% S2 Q. v" ]Withdraw, 失访
+ p/ ]- ]8 g# _( f( y- XYouden's index, 尤登指数
9 [1 V- f" `& I6 v% DZ test, Z检验
$ H5 q3 a9 Q8 U4 w& g/ V- xZero correlation, 零相关
4 u7 n9 t Q+ BZ-transformation, Z变换 |
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发表于 2009-1-6 22:05
