|
|
Absolute deviation, 绝对离差) ~% V1 T: V4 @7 K
Absolute number, 绝对数
$ A. O2 t# m- ~4 } W* F! T5 a2 rAbsolute residuals, 绝对残差$ J) w" R( n1 x. G
Acceleration array, 加速度立体阵5 ]8 e4 K/ r2 w. D9 m( l
Acceleration in an arbitrary direction, 任意方向上的加速度# n+ B7 [) M1 t3 m
Acceleration normal, 法向加速度$ z, o) g' ^/ a; t$ m
Acceleration space dimension, 加速度空间的维数: ~, O6 P0 ?- K) M- s
Acceleration tangential, 切向加速度
- q0 [' m" g* S/ lAcceleration vector, 加速度向量
- m. x3 H) ~3 ~7 L5 cAcceptable hypothesis, 可接受假设/ @# @0 G1 {# a3 s. N
Accumulation, 累积2 {; [5 }' {+ N+ n! H! B ?7 G
Accuracy, 准确度2 O8 Q( `) N. l# f$ v6 F
Actual frequency, 实际频数; R4 b: ?7 c, u( _$ G# H
Adaptive estimator, 自适应估计量! c3 S3 M( m; \' X, o6 t
Addition, 相加! F. p, T9 v% r% a! I
Addition theorem, 加法定理7 c; J% ?: Q. C/ |/ d1 p- h
Additivity, 可加性8 @( ~0 S! a c0 b z, t! q3 s4 }
Adjusted rate, 调整率 [- F# m8 h, N' H- ^. a
Adjusted value, 校正值
7 p. T5 X7 y! {6 e7 ^4 F+ vAdmissible error, 容许误差; a5 Y/ e' ?( V1 S0 c
Aggregation, 聚集性0 ]! f! X4 y" l1 @
Alternative hypothesis, 备择假设' {# A) p8 m4 @- y% O2 B
Among groups, 组间# _. C2 |4 U& `( v# A- y, H
Amounts, 总量
' x. N0 H! S* uAnalysis of correlation, 相关分析/ w$ b9 j0 G( `! p
Analysis of covariance, 协方差分析
, \. L9 s0 z: o* r7 I) s1 T, g. |Analysis of regression, 回归分析
* r% Y7 x9 W3 c& \ B8 x. NAnalysis of time series, 时间序列分析
& s* Y- K# ^$ ~% N5 t( `Analysis of variance, 方差分析
6 f8 h8 m1 F) w. T/ vAngular transformation, 角转换
% J+ d( H, P0 b+ q! iANOVA （analysis of variance）, 方差分析- Z3 }3 ^& y4 T( {
ANOVA Models, 方差分析模型
2 `* ]+ p# }$ Y& T0 `5 CArcing, 弧/弧旋
$ v6 V6 }; c7 [( G- `Arcsine transformation, 反正弦变换
" x3 P$ J ?2 k% ^, O J4 }Area under the curve, 曲线面积
* r1 |. F0 ~ B4 ^/ m3 m' uAREG , 评估从一个时间点到下一个时间点回归相关时的误差 ( U8 f* E# [7 P% D; X. G" t
ARIMA, 季节和非季节性单变量模型的极大似然估计 5 B0 X! m4 {+ y8 h$ J
Arithmetic grid paper, 算术格纸
8 ]8 ]! s4 x: O) T( L0 CArithmetic mean, 算术平均数
. Y$ a+ i7 V" DArrhenius relation, 艾恩尼斯关系7 y5 p2 |. ^/ C2 M6 }" x
Assessing fit, 拟合的评估
7 p( b% L" x5 M5 yAssociative laws, 结合律
0 Z2 e( G+ b8 Z8 JAsymmetric distribution, 非对称分布& I& z: v* Z, l. K/ y0 V- q, i
Asymptotic bias, 渐近偏倚
% \* `- s+ e( p6 [1 n* \, z/ f! j) QAsymptotic efficiency, 渐近效率6 s* l/ ?: x) J! Z+ L2 }3 s
Asymptotic variance, 渐近方差
6 [' D; ]2 R0 F9 s- z, a$ VAttributable risk, 归因危险度
G$ Q( h+ L3 R6 }1 I8 b7 F' c- wAttribute data, 属性资料
! E( d1 u0 ` m3 j6 S* S3 C D$ FAttribution, 属性/ m0 ^* |. K2 ~6 R( `8 A
Autocorrelation, 自相关4 k. n: e6 Z/ k& x* a
Autocorrelation of residuals, 残差的自相关4 h$ Z, l+ F' h: `+ R5 Q2 u
Average, 平均数7 t' b. O3 ^* `
Average confidence interval length, 平均置信区间长度
% T- K9 a4 b: I" i0 x( MAverage growth rate, 平均增长率
1 u- _/ W" T0 W8 C4 k/ gBar chart, 条形图; ?; O1 f5 U5 v3 ^
Bar graph, 条形图
. p @, p1 I/ K2 VBase period, 基期& D: `' Z C3 T& F
Bayes' theorem , Bayes定理: v5 K$ C. e: O6 e% H
Bell-shaped curve, 钟形曲线
% [2 M9 U/ x! jBernoulli distribution, 伯努力分布+ W+ j6 e! i& y. z C
Best-trim estimator, 最好切尾估计量
( q* e) Z1 y c8 xBias, 偏性
- Z) L* j0 e" Q# RBinary logistic regression, 二元逻辑斯蒂回归
; C! k* H+ S; E5 f0 b- d5 RBinomial distribution, 二项分布
- F1 w ~- J5 e' q$ CBisquare, 双平方
( q9 M% x% E. EBivariate Correlate, 二变量相关
* }) Y- W$ m. H8 N, b8 TBivariate normal distribution, 双变量正态分布
2 y5 L Z0 ?/ X9 ~' a$ gBivariate normal population, 双变量正态总体
/ R- d2 ^! a) p6 L0 ABiweight interval, 双权区间2 a2 n$ i$ s9 M
Biweight M-estimator, 双权M估计量
' W( f5 v) I7 m: G( d4 tBlock, 区组/配伍组1 u9 @; r9 K' N" ~! Y4 F! p7 B9 t
BMDP(Biomedical computer programs), BMDP统计软件包 L4 Q7 M$ s1 Q" `. G: |
Boxplots, 箱线图/箱尾图# s0 W! q8 z* `$ w" V2 u. Z: ?
Breakdown bound, 崩溃界/崩溃点
4 D( O1 g' J$ H2 @Canonical correlation, 典型相关
" d3 ~7 ~: Q& \6 X) e4 TCaption, 纵标目
" C: m+ K9 @' o7 E) KCase-control study, 病例对照研究8 R- [- _, J H0 P: E1 ?7 M
Categorical variable, 分类变量
% B% H# R% _2 |, B! _9 F& |* Z4 oCatenary, 悬链线
$ P6 u+ s. V+ Y! gCauchy distribution, 柯西分布9 h6 n( P4 K r$ P
Cause-and-effect relationship, 因果关系, f X( f# G x' `% p
Cell, 单元
6 n5 h ]" R% ]" WCensoring, 终检- J0 h L4 V/ c$ e7 H
Center of symmetry, 对称中心
$ Z% F4 V$ F! O( ? r/ cCentering and scaling, 中心化和定标; G, ~: o, p Z$ Q5 k+ Z* [1 h
Central tendency, 集中趋势* [7 w2 d+ u" N: K& I8 y9 H0 A
Central value, 中心值
+ g: t' `% E8 B, y# e3 S8 gCHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测
. M' }/ ?2 }' _! Q a- g" k3 ~Chance, 机遇
0 Z3 o$ b4 @4 N" `3 rChance error, 随机误差
. z) [9 w0 B# V9 U% L" s1 x3 pChance variable, 随机变量- R! u% ?5 ~8 P
Characteristic equation, 特征方程
5 u/ J( ~8 c- |- R) Z7 V. ECharacteristic root, 特征根
3 A% ]1 w4 Z6 ICharacteristic vector, 特征向量
* M( ]6 J2 h5 I4 J- r2 W. yChebshev criterion of fit, 拟合的切比雪夫准则
( V: o: U4 P2 J& w- {( xChernoff faces, 切尔诺夫脸谱图# M3 ` }3 h- u1 M. O/ Q& P
Chi-square test, 卡方检验/χ2检验" c8 \; {6 ?) S* q2 {
Choleskey decomposition, 乔洛斯基分解
+ \' S! P+ Z$ }Circle chart, 圆图
" O& D1 I6 m% Y5 d1 I( [Class interval, 组距( Y. t( w+ R$ ?2 J
Class mid-value, 组中值
7 z8 S5 C6 w5 YClass upper limit, 组上限
# W' J2 c% {$ ]' WClassified variable, 分类变量
3 z. [5 P: F1 E2 xCluster analysis, 聚类分析8 h3 V g- `* p- i6 A+ b* [
Cluster sampling, 整群抽样( k4 s! Z/ M8 d* R( p
Code, 代码: O0 |1 ^7 Z0 ~) y* P6 y
Coded data, 编码数据4 w$ S W8 y0 B q9 J; a) _
Coding, 编码
+ S# e* P4 t* E. bCoefficient of contingency, 列联系数 G4 p6 @1 c0 h' N' z/ w# F: h+ a
Coefficient of determination, 决定系数7 A8 Y& ^9 F0 S: X, Y' b8 A+ ]; h
Coefficient of multiple correlation, 多重相关系数- \1 |+ s7 c0 Q5 [
Coefficient of partial correlation, 偏相关系数
1 ]- B0 h6 A. w4 r3 Q& \% f: u$ ECoefficient of production-moment correlation, 积差相关系数5 l* |' f2 J3 `+ r
Coefficient of rank correlation, 等级相关系数; T( z/ `2 G0 a. P; m% T2 h, c
Coefficient of regression, 回归系数
& ]- x$ I. q+ S/ x0 |Coefficient of skewness, 偏度系数 `& |5 S5 y' ]1 U& f$ k
Coefficient of variation, 变异系数) |* L8 x. M7 i& F1 X, u
Cohort study, 队列研究
9 H6 N; r8 b) v" L7 j- i8 p, {5 aColumn, 列
2 U/ Q% s' c! M% k9 \& RColumn effect, 列效应5 G, d! I1 L( l4 `, A* M4 O
Column factor, 列因素; q- A; n I0 Y/ Z, }+ F
Combination pool, 合并
) A. g& _6 g8 @1 ]: F0 H! f. KCombinative table, 组合表0 k3 O! U2 e) N8 d* e/ a V
Common factor, 共性因子
* c: |/ m- s7 L) O( FCommon regression coefficient, 公共回归系数
~1 B6 r6 T% m6 f8 L; ECommon value, 共同值
* }0 @5 `% y+ G& u8 l3 c+ \. h; xCommon variance, 公共方差
. h" |2 e" Q" WCommon variation, 公共变异
8 [. N4 b* R( o% wCommunality variance, 共性方差# u! ?7 ]5 P: {: Z7 r
Comparability, 可比性7 q; M6 p: c# E6 l( q/ v3 b
Comparison of bathes, 批比较' Y* [4 L9 | C$ y6 [
Comparison value, 比较值9 U1 |8 E) u7 g# N5 W3 t: |
Compartment model, 分部模型; y6 x/ ], l( c% i
Compassion, 伸缩
2 P2 J3 L v! L/ R hComplement of an event, 补事件* U. K) C1 A' ~3 N$ O
Complete association, 完全正相关
1 A+ x F, l6 |2 AComplete dissociation, 完全不相关
& u/ V9 n) @' H# ^9 u# W4 MComplete statistics, 完备统计量
. h4 b6 w+ ?7 a+ sCompletely randomized design, 完全随机化设计, W( D m2 M$ y0 w1 O0 M- c
Composite event, 联合事件3 O; K& C" v( W& P& B* b0 }: ?) Z
Composite events, 复合事件
, t: g" U; z6 t2 v2 I3 |2 d: lConcavity, 凹性5 k5 o6 r& W4 q2 E
Conditional expectation, 条件期望
: n+ N+ B$ O+ c9 CConditional likelihood, 条件似然
5 x0 h- P+ t$ g6 U& [Conditional probability, 条件概率
T6 M5 T6 `6 Z4 C# N' a% ZConditionally linear, 依条件线性
! r7 P- P) q2 n, ?1 ^+ yConfidence interval, 置信区间( P/ u7 d, M" @$ u, w9 h
Confidence limit, 置信限) l' R8 X: e. ?: v
Confidence lower limit, 置信下限
" m6 m0 O! `& ?5 J7 Z0 W+ m+ m/ hConfidence upper limit, 置信上限6 Q l6 s7 q# ]. N
Confirmatory Factor Analysis , 验证性因子分析8 W4 G# J7 v" n/ z {2 `
Confirmatory research, 证实性实验研究
: R6 e( z. y7 g5 C& A. I: p2 P4 KConfounding factor, 混杂因素
0 G6 M0 L' i7 S: v3 B) c7 b% iConjoint, 联合分析
# q) a% r. m$ q' f- e0 o9 K, mConsistency, 相合性
8 N W0 o! a, a+ V' d `Consistency check, 一致性检验3 j! O9 k) K0 R: z
Consistent asymptotically normal estimate, 相合渐近正态估计1 T s5 L: L5 Y* h* k
Consistent estimate, 相合估计
$ k, v* x1 z/ i" f. t2 @Constrained nonlinear regression, 受约束非线性回归
o q z2 o& n3 R0 T, _Constraint, 约束
2 \4 I3 ^$ H' N" W! R+ W# w' \Contaminated distribution, 污染分布% p' F0 L' U& V% x# R% e3 ^: G
Contaminated Gausssian, 污染高斯分布
4 q8 c6 ~; Y. OContaminated normal distribution, 污染正态分布
. X6 H* k# d! }( m% j1 KContamination, 污染5 \: d! S% c1 A
Contamination model, 污染模型$ u& }0 l- P- {; c/ d% F* d7 ]
Contingency table, 列联表
" ] y" h- _# ^" F* C0 AContour, 边界线
0 {, `4 q* x' [# _Contribution rate, 贡献率
5 `' d8 K' B1 QControl, 对照' Y" N3 K+ c# d9 g% g, N$ {( b
Controlled experiments, 对照实验* x8 L% U/ g( ]6 l" Z+ z
Conventional depth, 常规深度
9 z7 m- C. w0 Y) RConvolution, 卷积
# a7 a# u9 r6 p# a( D! TCorrected factor, 校正因子6 H1 W/ A3 g- A
Corrected mean, 校正均值. {- W/ \- p5 |/ Z; E" W& H. W
Correction coefficient, 校正系数6 D) }* p8 Y6 C0 d: f
Correctness, 正确性6 y' G- G* x+ p5 i! C# s
Correlation coefficient, 相关系数
" z5 P( D! o0 d6 E$ XCorrelation index, 相关指数2 q& {3 A3 H' O, D% L4 A1 [
Correspondence, 对应
' E& {$ q. x4 O$ vCounting, 计数9 V7 I$ G) @0 U# J1 E$ C
Counts, 计数/频数
_" E, [3 i: _% Y- k4 e) YCovariance, 协方差
y! h( N1 x! L" c, W7 D6 sCovariant, 共变 4 W( k4 J# t0 A7 I% B' M c! e+ D
Cox Regression, Cox回归- C$ Q$ n& y9 y8 P! X
Criteria for fitting, 拟合准则
+ S U; ~ I# M& m$ \9 t' E+ {Criteria of least squares, 最小二乘准则
; f' ~% x8 ?( f7 ^5 J* zCritical ratio, 临界比
6 @% L& d+ ]) W- d0 C# XCritical region, 拒绝域
4 n1 J7 B1 [+ \" `! h/ YCritical value, 临界值
5 r4 @4 V9 Q, ?3 d# g. j3 {Cross-over design, 交叉设计+ e7 s6 t2 h7 v/ V" p3 m# c
Cross-section analysis, 横断面分析
4 `- p+ U0 `" s7 M9 s; q- PCross-section survey, 横断面调查
% N+ T, W. ^: h. p0 YCrosstabs , 交叉表
: L# \. ?2 m) _Cross-tabulation table, 复合表! x! B% c- R; \
Cube root, 立方根
* H( ~2 ^3 S# a" Q& d+ uCumulative distribution function, 分布函数4 e, P3 }4 g* \* w, b8 k
Cumulative probability, 累计概率
9 @" z, D7 N3 H4 YCurvature, 曲率/弯曲
: l/ o% o, u) g1 F# i" d, P4 `Curvature, 曲率2 e* L5 o \. v3 B: |8 _( `
Curve fit , 曲线拟和 % U( s7 t$ M2 f! ^+ {
Curve fitting, 曲线拟合
; h4 k0 t+ {' l6 F& ~# pCurvilinear regression, 曲线回归/ G* [6 y5 Q _% Z5 b& J8 [
Curvilinear relation, 曲线关系
9 {1 K' n ^! R, q3 CCut-and-try method, 尝试法3 Y$ U5 s1 ^1 y9 `- g, L. Y. ^
Cycle, 周期
& \9 |8 y( \+ R; h' @: E6 ^ iCyclist, 周期性+ l7 s4 R0 L5 _ I/ \+ `
D test, D检验
. z. e q0 d* ^5 ^Data acquisition, 资料收集: U: ]% H" T) Q8 c _ Z
Data bank, 数据库
9 `$ ~( `9 u9 ^4 VData capacity, 数据容量# N, k* E: d# E: r' p. b7 S
Data deficiencies, 数据缺乏
- g8 P6 r! u$ p, ~# p" Q, HData handling, 数据处理
; z: [! C a5 WData manipulation, 数据处理4 w5 E8 S4 S/ R' X1 X- L
Data processing, 数据处理
( I7 }( O& s2 [( GData reduction, 数据缩减, Z A6 C9 `( M. a; H/ \
Data set, 数据集6 d: O/ {( u, c. p5 S5 R/ z
Data sources, 数据来源
' Z! O& p& N9 O* t7 S# y5 h! ?7 LData transformation, 数据变换- }3 I$ j; G) E+ A" U
Data validity, 数据有效性) G2 B9 }. x$ n/ s& w4 G
Data-in, 数据输入+ H8 ~6 h" e8 ~- \
Data-out, 数据输出
; G7 ?( ^4 G$ s' iDead time, 停滞期5 n( ?2 Y& n9 V$ \+ Z0 E) J: o
Degree of freedom, 自由度
8 V: o' @" z# g' r, lDegree of precision, 精密度
|- b$ F$ S9 _9 V7 i0 F# x. P6 L- o/ yDegree of reliability, 可靠性程度
4 i* d& A, T6 D' x# VDegression, 递减) t/ a0 i- v: D% I' u7 Z4 g( @2 m. U! r. q
Density function, 密度函数5 p; `$ V0 I$ N2 `
Density of data points, 数据点的密度
^$ D& _$ X$ hDependent variable, 应变量/依变量/因变量
, ?. _; I& l( k2 y2 wDependent variable, 因变量
5 f+ v& S! i5 t- d8 H& XDepth, 深度
$ b) T- L" ~4 b7 A/ U5 wDerivative matrix, 导数矩阵
: X( u! n \% J: G) NDerivative-free methods, 无导数方法 h% M5 F b3 c9 i
Design, 设计3 b, K$ S: q+ p+ C
Determinacy, 确定性5 i8 Y. {) [2 X9 A
Determinant, 行列式7 [- L; u) D% G) \; \
Determinant, 决定因素9 b- E2 P0 M8 t3 R. G
Deviation, 离差
/ O1 V1 H; p) a. d- ADeviation from average, 离均差! H/ M3 X; L n* n- ~) ~( G
Diagnostic plot, 诊断图
( a3 U0 P% B/ F9 s& @8 J; S) a1 sDichotomous variable, 二分变量3 m: [3 g. a* w' L2 o% _
Differential equation, 微分方程. k$ ]# U* Q2 Z% x. |6 M. g
Direct standardization, 直接标准化法7 G6 ]9 Z Z/ I5 K
Discrete variable, 离散型变量
1 c7 R9 a$ l8 M" l; V5 RDISCRIMINANT, 判断 3 U! n% l, t& S: V& k
Discriminant analysis, 判别分析- V# r9 y% R) u; p: X
Discriminant coefficient, 判别系数6 r* k' K5 J; Y! v
Discriminant function, 判别值
& X- x) C: {. b7 p% V+ KDispersion, 散布/分散度/ f& G% ?7 B# ~) W; b
Disproportional, 不成比例的 n; u. ?2 Y6 v! ~. X, W
Disproportionate sub-class numbers, 不成比例次级组含量! q. ]7 ~0 n* b4 t) V
Distribution free, 分布无关性/免分布; y/ o& j# i b, |; g5 R( E
Distribution shape, 分布形状
2 X+ `* ?+ @! ODistribution-free method, 任意分布法5 r: g, \0 l9 X( d- r$ C
Distributive laws, 分配律
, m, v: F( }) S2 ]/ h; }; mDisturbance, 随机扰动项2 h$ [) f d" @( n8 t( ~$ B7 o( t
Dose response curve, 剂量反应曲线
1 u3 {" K% x5 N, R. t( }4 LDouble blind method, 双盲法* L/ H! P2 X9 `+ P5 |
Double blind trial, 双盲试验
% d l6 R S0 X* k/ Q6 |Double exponential distribution, 双指数分布6 m8 x, l- p' q$ H' i" M
Double logarithmic, 双对数
, q% t2 O( a; aDownward rank, 降秩
" j) w; F8 W$ ], X) H' Q+ lDual-space plot, 对偶空间图8 g8 d* k3 E# _. m+ [: X
DUD, 无导数方法2 y1 F- p' S, M b, P4 z) f" P
Duncan's new multiple range method, 新复极差法/Duncan新法
. B4 o3 e# b; {1 f$ ?6 jEffect, 实验效应& h+ P1 q* b3 z/ P6 c& c
Eigenvalue, 特征值
" I. o( u" m: r) P( q/ L+ D0 mEigenvector, 特征向量
7 [7 q9 Z6 }; D. [: I& N- tEllipse, 椭圆
0 y, U- A7 U( C$ s0 }Empirical distribution, 经验分布
$ |. m' y2 E: k& v% S) ]3 ZEmpirical probability, 经验概率单位
2 z* b1 S$ n3 I# r& SEnumeration data, 计数资料- Y& B% Z* e. q0 J7 O7 g6 p
Equal sun-class number, 相等次级组含量0 y( m5 X( x# b: ?
Equally likely, 等可能/ @( b# X/ M* r9 t E+ G
Equivariance, 同变性
# M# X* V5 w0 {. a; M5 f0 eError, 误差/错误
8 \6 ?0 R, D2 J7 @" }8 WError of estimate, 估计误差
+ ^; Z6 q6 _- B# J) A# c f' GError type I, 第一类错误
8 ]; S# G) b/ ?0 S1 lError type II, 第二类错误
5 g1 ~7 [- p! U7 mEstimand, 被估量
, Q( R+ Z4 u( a1 l7 K7 lEstimated error mean squares, 估计误差均方8 b- B: p4 F2 k: u! f4 `) C, J, T4 s
Estimated error sum of squares, 估计误差平方和1 t( q9 f ~4 @7 D
Euclidean distance, 欧式距离% D) }& ~' l+ M( T1 O. N
Event, 事件
( a; o" s1 E4 P; ]1 a! qEvent, 事件% N J4 j3 ?- M
Exceptional data point, 异常数据点
4 i# ]6 a. w$ h& @Expectation plane, 期望平面
* Z1 ?+ D4 g/ z3 n8 v3 cExpectation surface, 期望曲面
! z; \( {0 @* W& ?( l; E5 ^8 u8 TExpected values, 期望值0 T4 b" I& ~8 W' ~7 _$ ~4 k
Experiment, 实验% V8 I. A# f4 d) ^: \. d7 W
Experimental sampling, 试验抽样$ K1 N! r, v o" V$ D, ^- K& N2 W
Experimental unit, 试验单位
: ^" B1 y7 f/ `5 q# {+ C1 ~, ~Explanatory variable, 说明变量% C5 L( x. |8 v) }0 Y6 D3 t; z3 L
Exploratory data analysis, 探索性数据分析9 q+ W" }( Q9 J) M% a
Explore Summarize, 探索-摘要* z! A: q2 I, c" j) F
Exponential curve, 指数曲线/ D0 N+ r# t4 e3 e( T; f' ^' E
Exponential growth, 指数式增长/ O5 t% g' i% v' C, ?+ A
EXSMOOTH, 指数平滑方法
g$ G6 z0 a2 i! LExtended fit, 扩充拟合
& l4 t" r5 O! z. i4 mExtra parameter, 附加参数* C/ ~% S \4 g9 n
Extrapolation, 外推法2 U5 t2 {# ]- S, F$ _4 [3 z
Extreme observation, 末端观测值
! A* G: a5 D* G; J5 eExtremes, 极端值/极值
! S9 U8 m' j% o6 |5 C. J- f1 jF distribution, F分布( s5 ?/ U7 Q" m1 w5 a1 C6 Q
F test, F检验
2 ~& Y5 b# P( \Factor, 因素/因子
% @8 n: r, W, }Factor analysis, 因子分析% S$ D! t( H/ r
Factor Analysis, 因子分析
; {- J* e; V5 sFactor score, 因子得分
( |' a7 ]' S2 \" S' A2 T3 YFactorial, 阶乘, `4 C! v. q- ]9 K, T N3 S
Factorial design, 析因试验设计
+ }' E7 Z% l# u: T* B8 {7 aFalse negative, 假阴性+ s5 m1 [$ ]2 A
False negative error, 假阴性错误
& u0 c8 ~; W% F6 \Family of distributions, 分布族
' Z: Q, ?, l6 n5 O& w! a7 gFamily of estimators, 估计量族- j) I4 g; T0 f, R! Y; v7 A
Fanning, 扇面
" L8 {" Z0 {) `7 YFatality rate, 病死率8 N C1 F$ v2 Q- L
Field investigation, 现场调查" O' ~8 V! E5 f$ ?8 C
Field survey, 现场调查
0 c4 s3 p) q( R( w3 Q" YFinite population, 有限总体
$ y" @* F0 V: \: Q+ Z/ P EFinite-sample, 有限样本
" D% f3 |5 }; k# s' WFirst derivative, 一阶导数
$ {, `8 \6 |% Q, V( S6 q5 \2 b& [First principal component, 第一主成分6 ]% w( M( e' T% B* ^/ q
First quartile, 第一四分位数
; D1 K4 i4 _' q: S9 xFisher information, 费雪信息量
! X+ k$ P' Q! Z: x& PFitted value, 拟合值
9 a5 r' c6 x6 ~( \, O4 l2 G! xFitting a curve, 曲线拟合/ c+ n+ o7 M9 L) ?6 { f
Fixed base, 定基
. V+ t$ f1 f0 }1 g1 p6 j6 AFluctuation, 随机起伏
% E2 S* I2 D. |Forecast, 预测
& n! Z% V4 L4 f' M# ?$ o* }" uFour fold table, 四格表
6 T9 d3 v* \/ HFourth, 四分点
4 P- d6 P$ X4 q6 ^4 pFraction blow, 左侧比率
6 {* w; n- ]; M9 x6 p$ ZFractional error, 相对误差5 l! g; X: c/ x* A( v
Frequency, 频率
) [3 x* M1 c6 `* O+ MFrequency polygon, 频数多边图: f3 A+ z- [8 {: X$ |1 `" d
Frontier point, 界限点
/ l, ?0 C3 x# F# O( FFunction relationship, 泛函关系
" i2 y6 v. N% [ A7 M) AGamma distribution, 伽玛分布# ^' H: x2 Q& M/ N2 b2 [ m
Gauss increment, 高斯增量
7 l4 n( i/ j3 A O# F* _$ BGaussian distribution, 高斯分布/正态分布" e5 r5 U, }! b+ ~
Gauss-Newton increment, 高斯-牛顿增量" M" ~3 y# p" j/ x
General census, 全面普查
& D% F+ r+ V% {4 i% ~& @+ F8 ~GENLOG (Generalized liner models), 广义线性模型 6 x' [+ ]/ H, F5 j
Geometric mean, 几何平均数2 `. L9 s! T8 o8 P$ L2 n: o
Gini's mean difference, 基尼均差
0 ?2 @3 M5 E& y7 q6 L' uGLM (General liner models), 一般线性模型 + Q( F! s' w8 {) q* s+ d
Goodness of fit, 拟和优度/配合度6 z2 | H# h/ U0 g
Gradient of determinant, 行列式的梯度
! W# o: | D) j' f5 t) PGraeco-Latin square, 希腊拉丁方
+ x2 `( U9 F/ v7 q( FGrand mean, 总均值
1 t9 g* D3 \# U6 m8 WGross errors, 重大错误4 T: X. X7 c: w* T
Gross-error sensitivity, 大错敏感度0 N4 @8 `" J. X: p
Group averages, 分组平均- m# n1 h5 v- w" _$ r$ j0 T ?
Grouped data, 分组资料
+ `& U7 A3 v9 w4 ]6 OGuessed mean, 假定平均数 Y2 a2 y8 [8 h8 B2 e! P( B* [5 l8 i
Half-life, 半衰期1 j2 x+ C2 i& ]- c/ O4 a. K% y" \* L
Hampel M-estimators, 汉佩尔M估计量) N- G4 x% T8 k
Happenstance, 偶然事件
, ?: i3 o' w0 k9 k; `3 q U5 FHarmonic mean, 调和均数
+ D+ c. ^! z- u0 _$ I& vHazard function, 风险均数- _ @/ r& t6 | \
Hazard rate, 风险率7 Y/ r3 {; U `0 |
Heading, 标目 0 t6 ?/ E% Y% Z- r9 c) ?6 e6 J
Heavy-tailed distribution, 重尾分布
" o) r2 L+ v: x* G9 JHessian array, 海森立体阵0 A9 b4 y4 m: _7 N. {4 R& L% k
Heterogeneity, 不同质. U, v5 j5 E% P
Heterogeneity of variance, 方差不齐 - |9 A$ Y4 }! m% q
Hierarchical classification, 组内分组$ @# n* [1 C6 n) e8 X. m q" p
Hierarchical clustering method, 系统聚类法
) R! y: \- X1 N3 L; N J6 zHigh-leverage point, 高杠杆率点
) |0 f6 [3 M- x' C# L }HILOGLINEAR, 多维列联表的层次对数线性模型4 G" ~7 A1 K0 \" G& c. J
Hinge, 折叶点( K# \% M8 \" P$ Y
Histogram, 直方图0 ~$ ~& N# Z0 h" C' n" |
Historical cohort study, 历史性队列研究
+ ?! b8 m6 V9 kHoles, 空洞- @) A2 j6 ]8 M' |- M2 v
HOMALS, 多重响应分析- ^* T+ n/ V" W/ S0 l, T
Homogeneity of variance, 方差齐性9 B; F A; q, H6 W
Homogeneity test, 齐性检验
Y, [0 \# f, ]/ dHuber M-estimators, 休伯M估计量
2 j3 G. C E6 ~. w( u6 f1 gHyperbola, 双曲线
, M. P, Z5 f, N. L0 e# X2 ^Hypothesis testing, 假设检验% X6 j! ^: v5 S$ S; _/ j# q2 L
Hypothetical universe, 假设总体8 I, t& J% o! j- z& y+ r
Impossible event, 不可能事件
5 T+ G1 m# ^; `: p. {" z2 B; ?Independence, 独立性8 `! i8 e- ]9 U- _3 {2 r, j% j
Independent variable, 自变量: f- E+ ?1 h" f/ D+ J! `* S! `
Index, 指标/指数9 f" B& `* [# c0 v
Indirect standardization, 间接标准化法1 Q+ ~ H2 C$ e: e, _6 a- m
Individual, 个体2 q* F! `% t$ e/ J# a
Inference band, 推断带
& H1 s. y5 K eInfinite population, 无限总体
. _9 ]' m8 }5 w/ N/ w+ ^Infinitely great, 无穷大
, s: `/ i2 K3 j1 aInfinitely small, 无穷小" Z* ?0 M$ y: E# s6 C
Influence curve, 影响曲线$ r2 ~9 d8 ^7 F/ v( U: B8 ]! A' n
Information capacity, 信息容量
! @- \! @& B0 |" e7 E6 _Initial condition, 初始条件
. P3 x% Y7 @- L1 eInitial estimate, 初始估计值
1 R, L2 R6 @; |. a# bInitial level, 最初水平4 a3 g0 \6 l7 l/ s
Interaction, 交互作用1 i9 d" e( y: H3 Y
Interaction terms, 交互作用项
; J4 @/ U! c: B. V/ T5 l6 [% bIntercept, 截距
9 z- U0 V0 c R2 O8 AInterpolation, 内插法
6 h6 Y6 J9 _+ y. K4 OInterquartile range, 四分位距1 _, ^) h5 s2 p8 t. u5 w
Interval estimation, 区间估计. ~, u5 `# Q0 T- n9 k$ R" v
Intervals of equal probability, 等概率区间
: T+ W- A# K9 [& U, ~Intrinsic curvature, 固有曲率0 b$ M. q5 [+ ?$ B
Invariance, 不变性
, w& f0 \/ p# lInverse matrix, 逆矩阵0 t4 ^, R& f$ z' E' m% \( V
Inverse probability, 逆概率8 N1 O! Y1 m: K# M0 X/ ]9 b7 H
Inverse sine transformation, 反正弦变换
, o C/ G5 {$ [8 E# Q9 h z: nIteration, 迭代
/ C W7 g) n- Z# u$ @; EJacobian determinant, 雅可比行列式
& O$ T! A. b! L3 F3 Q" jJoint distribution function, 分布函数: C' L4 b/ D) M, z* W4 _( Z% |
Joint probability, 联合概率 r e( T# X, k; {: K' O9 _& g
Joint probability distribution, 联合概率分布
, g, {! W. [" b5 S3 |K means method, 逐步聚类法
; @0 q4 j7 X7 qKaplan-Meier, 评估事件的时间长度
( `* a+ p/ c5 x/ ?" ~4 mKaplan-Merier chart, Kaplan-Merier图
! q) p8 S4 L" u" O$ z* [Kendall's rank correlation, Kendall等级相关# W# ^4 @2 K3 }$ V
Kinetic, 动力学; u7 g/ t, e3 Z
Kolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验; y: l; G" V" m& e
Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验
8 u Z8 v1 D6 p4 {. o. U* IKurtosis, 峰度
1 t/ R! X1 Z1 L% m3 uLack of fit, 失拟
) L7 P$ N4 s e0 _+ e# m( {! u( HLadder of powers, 幂阶梯6 M5 z t, [( |9 s
Lag, 滞后& p8 C% [" m" {9 Y! X$ u( y
Large sample, 大样本
1 U# v( a% E6 t+ W! b: v- Q; fLarge sample test, 大样本检验
E3 p8 O* G' [ h. y. r8 _9 N1 ]Latin square, 拉丁方
! X7 A) ?5 D# J9 p2 z9 gLatin square design, 拉丁方设计7 [0 G. g7 z$ v
Leakage, 泄漏
" l0 t C) s4 R5 f6 F" ELeast favorable configuration, 最不利构形* E l2 t' v& K, H# o% X; W
Least favorable distribution, 最不利分布! P1 w: T3 s- y" ~3 j
Least significant difference, 最小显著差法! s( p" p* _7 k8 a6 R k' Z" ]
Least square method, 最小二乘法0 v3 Y |% }9 C6 k5 @/ ^3 @
Least-absolute-residuals estimates, 最小绝对残差估计" x7 v, O% Z+ J: z+ k# E
Least-absolute-residuals fit, 最小绝对残差拟合5 ?, C. B( L. I& u; M6 q6 h
Least-absolute-residuals line, 最小绝对残差线) W- G9 A0 Y; P* l3 W. B
Legend, 图例
& D, O$ f3 p5 H0 aL-estimator, L估计量
. v7 F ~* Q; \) {& ^3 F* LL-estimator of location, 位置L估计量
! G5 X/ a. \9 U9 E/ }L-estimator of scale, 尺度L估计量' M! b I, a$ V) J2 o( q/ a
Level, 水平
5 W4 F1 s6 h/ X/ @8 d* }7 g5 }/ vLife expectance, 预期期望寿命
, } _- z( S4 m4 h% K0 _Life table, 寿命表" T- h$ E8 X! l5 |, l6 Q9 e8 W
Life table method, 生命表法+ w C7 t, r+ Z3 H
Light-tailed distribution, 轻尾分布/ c- z5 N1 s" S5 g- E
Likelihood function, 似然函数
4 u0 a! X" z% \, f, a; S# B6 a! ?% ~" ~2 aLikelihood ratio, 似然比. u: y7 `: n7 s
line graph, 线图! M/ W2 Q* I! j8 z: ~4 W
Linear correlation, 直线相关; I! O/ M( ^3 [$ Q' t
Linear equation, 线性方程
$ |2 [0 c* u& w& L& A& }Linear programming, 线性规划: h# O' G' W# {. m2 ^; e1 k1 k L* F
Linear regression, 直线回归
! z( N$ F6 n* ?/ eLinear Regression, 线性回归
! O, z9 l! ~! O% hLinear trend, 线性趋势! u' J4 t" c4 v" a
Loading, 载荷 7 l n! Z$ N/ ~+ s: C
Location and scale equivariance, 位置尺度同变性5 W9 h! G7 t1 `; l& y
Location equivariance, 位置同变性
0 Q- Y; P& {+ ]5 U* p% oLocation invariance, 位置不变性
* q7 ^1 L4 e, ~Location scale family, 位置尺度族
. h# n+ ^$ A! b/ R1 tLog rank test, 时序检验
% t5 ]) R% L2 q5 YLogarithmic curve, 对数曲线9 a: V( Q, _! E
Logarithmic normal distribution, 对数正态分布
8 r/ ^/ R2 p+ v" k* \# Z/ N& qLogarithmic scale, 对数尺度
7 ?; `& t+ X. E7 M3 A- \2 qLogarithmic transformation, 对数变换6 ?9 x8 F! L4 y4 ?# V
Logic check, 逻辑检查/ {- B/ G) X8 N) P0 }2 U
Logistic distribution, 逻辑斯特分布7 B) L) C3 s5 ?" `
Logit transformation, Logit转换1 d, P& w) T. O/ M8 ]0 v
LOGLINEAR, 多维列联表通用模型
6 k/ X- t e" Z+ q+ cLognormal distribution, 对数正态分布
j, I9 O4 P/ R, ILost function, 损失函数
5 U! z( J0 @4 c$ H& V; a o7 t6 d) T# {Low correlation, 低度相关0 h3 z# M9 D) z% O1 s. M. u
Lower limit, 下限
" S2 Y6 J/ M2 o8 _& NLowest-attained variance, 最小可达方差) ]* u) ?4 H* f, x6 L
LSD, 最小显著差法的简称
4 y8 t3 }% \) L$ f8 M( X" @5 `0 U2 gLurking variable, 潜在变量9 O1 F2 p/ o% G
Main effect, 主效应. f8 ~0 d: w: ^; M9 O
Major heading, 主辞标目
_! o1 N) o+ S; IMarginal density function, 边缘密度函数
9 z" X0 }9 F# ~6 j7 Z( N3 MMarginal probability, 边缘概率$ v2 u- S, _! }! k! |( H1 V
Marginal probability distribution, 边缘概率分布4 C* c0 z. [$ ~6 M( ^2 V d* p/ m, M
Matched data, 配对资料2 k3 S' z" i* l$ h$ A& t
Matched distribution, 匹配过分布
6 L- d( l6 @' U8 H% g0 ~Matching of distribution, 分布的匹配7 x! L% U) v3 m4 Y
Matching of transformation, 变换的匹配
8 ^ X& o! w+ z" z6 P: A! IMathematical expectation, 数学期望
( `* f* n' i9 k5 Y2 v7 F$ H/ BMathematical model, 数学模型
% G0 Q2 Y; i! eMaximum L-estimator, 极大极小L 估计量# d& T/ v" o2 r- O/ {' W* L! B
Maximum likelihood method, 最大似然法
6 \1 K y& @# q# M [: a* _0 uMean, 均数
( y6 i! S1 ~8 N, ZMean squares between groups, 组间均方/ n' Z Z+ H8 o
Mean squares within group, 组内均方
/ r8 r$ {0 U3 |- [. p. d& tMeans (Compare means), 均值-均值比较
, L% L% k8 J/ A- `$ n: s7 JMedian, 中位数
6 m! u: n7 k% c9 }3 M( R6 s9 vMedian effective dose, 半数效量
4 m& I7 H% W& r+ hMedian lethal dose, 半数致死量
! h8 ` a$ F a6 f4 LMedian polish, 中位数平滑
( ]# }1 H+ R# Y! v& I" DMedian test, 中位数检验
' q+ y) J( v b% eMinimal sufficient statistic, 最小充分统计量
7 F# D3 h6 g6 s; TMinimum distance estimation, 最小距离估计' i. x9 _/ l0 F5 C$ f3 w
Minimum effective dose, 最小有效量
0 ^$ f) }. H4 l; S. wMinimum lethal dose, 最小致死量+ ^+ k$ a- P; J6 z
Minimum variance estimator, 最小方差估计量
]/ f/ { F+ A3 | a c: P! pMINITAB, 统计软件包
# Y# C0 a5 l8 ?4 K% }' K' _Minor heading, 宾词标目( v# H- w% C0 `. W0 _
Missing data, 缺失值" @$ F% P) y) I6 X. Y @
Model specification, 模型的确定 ~$ o2 R0 Y1 U, S+ _! B
Modeling Statistics , 模型统计
+ r# u& K8 |1 K5 ^7 O6 IModels for outliers, 离群值模型! X2 Q/ x, J2 L5 }+ P- d( P
Modifying the model, 模型的修正$ B( l9 M+ H3 r
Modulus of continuity, 连续性模
( _% a4 f: C7 ?$ WMorbidity, 发病率
& M8 U2 c8 L# mMost favorable configuration, 最有利构形+ N6 S& D% e# | z0 M7 u
Multidimensional Scaling (ASCAL), 多维尺度/多维标度
9 p4 H* c2 q r. A: V! t9 hMultinomial Logistic Regression , 多项逻辑斯蒂回归
1 i& B) Y" B' k$ G7 wMultiple comparison, 多重比较
( N/ T7 Z* B# ?% w7 Q& n8 fMultiple correlation , 复相关" r+ U; U" ^5 V. L' e# Y( j
Multiple covariance, 多元协方差# k( B3 |* A ]# b# s3 \" S' w; g6 X
Multiple linear regression, 多元线性回归. H2 \4 @; t* X
Multiple response , 多重选项
' u9 P; c6 t, j) \# HMultiple solutions, 多解
) B* D7 D7 `) e+ y8 k0 F+ AMultiplication theorem, 乘法定理
' x7 x. m) u, WMultiresponse, 多元响应, k4 H$ b4 a9 t+ W, \" Y0 i& D+ o
Multi-stage sampling, 多阶段抽样
* `$ c" Y: ~ ` k( G6 q4 ]' aMultivariate T distribution, 多元T分布' w+ }9 y& b' K. K0 |7 |$ X
Mutual exclusive, 互不相容
' n# w4 a, p% v/ s( b; @$ X* fMutual independence, 互相独立
6 l% @% {9 V5 @! {; tNatural boundary, 自然边界, H4 R/ w4 J" Y3 C2 Y- _$ K0 b
Natural dead, 自然死亡) d) t* }" o9 b2 D3 I8 X
Natural zero, 自然零8 v' R. r: S$ \$ u% A, W7 q q
Negative correlation, 负相关9 B$ h- G' J( }1 H H; Q
Negative linear correlation, 负线性相关
* U+ b7 z/ t4 B7 g8 G- kNegatively skewed, 负偏
. z# t- {' y* e% qNewman-Keuls method, q检验# y% v9 f( E9 Q4 A
NK method, q检验
3 r3 O5 M5 h$ G- U! }No statistical significance, 无统计意义
0 X7 u) j e {! d J1 t9 eNominal variable, 名义变量
& ] `) m* y3 E5 N+ A5 O3 k- uNonconstancy of variability, 变异的非定常性$ z8 ~8 Z7 s( r- X: |7 j" K5 U
Nonlinear regression, 非线性相关2 ~( O: R9 \1 H, @4 \0 H# T4 L# X
Nonparametric statistics, 非参数统计" m C$ _0 Q5 R, o; Q& ^% s
Nonparametric test, 非参数检验- u' K: I( P3 I( Q& s
Nonparametric tests, 非参数检验) M. D4 Q x) q& x) S* e I
Normal deviate, 正态离差. n/ Y4 o8 @4 e
Normal distribution, 正态分布 D ^. i& x: `8 u
Normal equation, 正规方程组$ n! @9 U/ F8 q, Y m) f" M
Normal ranges, 正常范围& V1 K5 m& n, A6 i" A/ ~
Normal value, 正常值1 ?7 l* D; X k) o/ B
Nuisance parameter, 多余参数/讨厌参数2 e$ k. J, B8 G6 Z* X
Null hypothesis, 无效假设
+ ^0 x Y/ @, v" {& v' R& z6 F4 JNumerical variable, 数值变量' }# s, o7 [$ Y/ {& N" q
Objective function, 目标函数
( p" F& |# V1 QObservation unit, 观察单位
& p4 U* e. G4 X7 Y( D, _& QObserved value, 观察值" H, i1 {: z4 C( o- k7 X0 E3 ~
One sided test, 单侧检验
& C) q4 ^( q* e& h6 b/ {: eOne-way analysis of variance, 单因素方差分析
2 |; K+ s3 ~0 R- QOneway ANOVA , 单因素方差分析: L7 d" L7 d( l6 M* E' ?2 B
Open sequential trial, 开放型序贯设计. k0 \: D' F6 Q! g3 g) q
Optrim, 优切尾8 |7 }9 Y8 d3 U' A& U O
Optrim efficiency, 优切尾效率
& J, @# ]; o5 l( b9 GOrder statistics, 顺序统计量0 t9 S) q* n8 \1 B* }) N x' P
Ordered categories, 有序分类+ b# H8 D% p1 A! I; R
Ordinal logistic regression , 序数逻辑斯蒂回归7 p" f! q9 C5 F# ]! i" B+ x9 Z
Ordinal variable, 有序变量7 F5 V, O; p- V, V
Orthogonal basis, 正交基
' P9 x; Z9 [0 k+ ZOrthogonal design, 正交试验设计
3 M% { S5 a% kOrthogonality conditions, 正交条件
, l! h4 Y. {8 Q% {4 z# \ORTHOPLAN, 正交设计
2 `( i y5 x; d9 ?$ V: ~2 {" q2 q4 ?Outlier cutoffs, 离群值截断点8 Q/ F( {* Q3 H, _- L* w# q( s# J
Outliers, 极端值# R. q) |, o, h: Z: v4 k
OVERALS , 多组变量的非线性正规相关
8 O2 x" Q3 t! A% }$ WOvershoot, 迭代过度+ X) N2 m$ N4 c5 \
Paired design, 配对设计. Z" ^, `, p7 R2 n
Paired sample, 配对样本
# \6 w2 Y' g! W6 C, w g# V* xPairwise slopes, 成对斜率
) C5 R3 S( b$ V3 Q" Y4 w+ QParabola, 抛物线
. O( b) b) A9 |Parallel tests, 平行试验
$ U' l/ l4 g9 G4 ^* P# ]' {8 UParameter, 参数
+ w n K# Y' _0 _Parametric statistics, 参数统计$ A0 W6 H8 Y9 s2 x' w
Parametric test, 参数检验2 j! J. c) o6 o0 M' U% E* d6 h
Partial correlation, 偏相关
/ f8 M/ `( R: I3 }0 O5 q: p7 CPartial regression, 偏回归
# v- K# r& D' M; u2 { y3 {, NPartial sorting, 偏排序
! W% j ~2 k3 ]1 M1 ?0 }Partials residuals, 偏残差; `* d: h0 I& i( f) h
Pattern, 模式5 ^1 @5 H+ k. d" |
Pearson curves, 皮尔逊曲线
" ]* Z( V7 d6 C/ oPeeling, 退层, s' o, c: J8 g- h `1 h
Percent bar graph, 百分条形图! I5 a8 m! G. t. a( G+ T" U
Percentage, 百分比2 f* O2 {! @% X/ f) K
Percentile, 百分位数( T) c0 b& O& g5 T6 e" ]
Percentile curves, 百分位曲线$ J" }2 u5 S# U
Periodicity, 周期性$ t$ P# ^# u) [8 c+ {
Permutation, 排列
$ H) z6 V7 o$ ?7 a6 gP-estimator, P估计量$ W& A4 T1 B8 W, Z! d" P
Pie graph, 饼图
" B" W' O) A. N% e* ~* g, P' v% SPitman estimator, 皮特曼估计量4 n' j& u; L/ q/ @" r
Pivot, 枢轴量
) i9 ]* x# M7 V3 ^. MPlanar, 平坦
# S4 f2 E5 Q4 o5 iPlanar assumption, 平面的假设$ o0 j- |- S( Z1 F: W5 D5 W
PLANCARDS, 生成试验的计划卡
0 q' U3 u0 I3 M& S# `9 yPoint estimation, 点估计
, d! ]: ], j g( F6 f8 ~2 `Poisson distribution, 泊松分布" ?2 t4 I* Y9 A% c! R
Polishing, 平滑
0 U# M3 A4 w" s1 k) u2 \+ e- z* K+ N5 ]Polled standard deviation, 合并标准差
& T$ k8 l3 P9 v3 N/ J+ F' oPolled variance, 合并方差
9 ?) `5 f r6 x6 x1 OPolygon, 多边图% E$ E/ W$ z }/ p- z
Polynomial, 多项式8 B% G2 C! a9 I7 Y
Polynomial curve, 多项式曲线
5 H* u& t) l: g4 s# w" w5 [, f6 _Population, 总体
1 G8 ~. l) j4 [5 k; FPopulation attributable risk, 人群归因危险度
& }1 i5 o/ i3 lPositive correlation, 正相关) f; {+ O' h. j% U# ?4 u. v
Positively skewed, 正偏
0 d" U. U9 ~1 K; i8 m, {2 x: J8 C3 qPosterior distribution, 后验分布
/ _# W" A, K3 e( TPower of a test, 检验效能
$ ^8 ?8 W0 ~9 B) @1 x4 B4 KPrecision, 精密度8 }! s3 E2 ~8 E' f" u
Predicted value, 预测值8 A7 E0 ^2 N8 P" f
Preliminary analysis, 预备性分析
M7 Y3 }! T8 V; Y0 nPrincipal component analysis, 主成分分析
T: b: V j4 ~* s* [Prior distribution, 先验分布
% H5 E6 M! t5 t) m! o$ s3 gPrior probability, 先验概率
* {) T7 d! }) M3 c3 l0 aProbabilistic model, 概率模型0 L9 w, k, E( _8 u
probability, 概率% q [9 Z1 u$ B
Probability density, 概率密度
; @- C, j3 P% K+ RProduct moment, 乘积矩/协方差 q. M. |( K+ O" X( J6 t
Profile trace, 截面迹图 B- E1 } A9 F! F
Proportion, 比/构成比
/ H7 ^% B. V7 C1 K& pProportion allocation in stratified random sampling, 按比例分层随机抽样: i% L4 P3 G$ u& E- t5 `
Proportionate, 成比例/ W4 p# U8 ^( g; N- u% `
Proportionate sub-class numbers, 成比例次级组含量
7 q, `5 O( j! t( [& m) c) cProspective study, 前瞻性调查
! Y) q( w6 @& W4 R R# gProximities, 亲近性
; r: V( [# O0 N B _- O' }5 bPseudo F test, 近似F检验
8 z) @2 O6 s% uPseudo model, 近似模型
0 }, ~( S3 B6 J9 j' n- ~Pseudosigma, 伪标准差/ M l; B2 L7 T. y
Purposive sampling, 有目的抽样+ _# r3 P% l7 D8 }2 L0 \* M
QR decomposition, QR分解' A& C0 \6 I* l; U8 r; {
Quadratic approximation, 二次近似
! l/ e/ G. V$ P2 ~Qualitative classification, 属性分类
1 D0 q: y3 I8 jQualitative method, 定性方法
7 V6 A1 n( h4 d6 TQuantile-quantile plot, 分位数-分位数图/Q-Q图
- A" b3 S6 b$ LQuantitative analysis, 定量分析- |+ S& g: r+ e4 B. X: L& T
Quartile, 四分位数3 s/ A& M+ f7 t! S2 c( U5 h: v
Quick Cluster, 快速聚类7 C. L6 M/ d) Z+ t/ V/ q
Radix sort, 基数排序5 h9 w0 p: s' L8 K/ l
Random allocation, 随机化分组
! I' } _# C1 R6 z3 B# bRandom blocks design, 随机区组设计: y4 F. l: v$ G( \+ b& h
Random event, 随机事件/ P5 [# }$ _( o8 L
Randomization, 随机化
( G3 j% [/ k+ O, hRange, 极差/全距
& P) h* \/ J, H7 y& O ?! q1 RRank correlation, 等级相关- [( M- c( l! K
Rank sum test, 秩和检验
# ]/ y5 y. p5 j- z! R1 ~Rank test, 秩检验$ I: _: `0 G+ f" d
Ranked data, 等级资料& d$ v; U& q& p1 g/ k' ~
Rate, 比率
" d1 U) m+ M2 m1 t& pRatio, 比例
- W8 s. C8 E6 F- t0 H- KRaw data, 原始资料: p2 G7 i6 R# c2 A0 F- S
Raw residual, 原始残差
/ X3 R( f* n' M8 xRayleigh's test, 雷氏检验
5 _) [5 Q/ ]1 fRayleigh's Z, 雷氏Z值
+ E7 F6 D" g- M7 V3 L/ dReciprocal, 倒数7 @; ]8 N, P/ X% U; V9 V
Reciprocal transformation, 倒数变换
* l+ V" u" q4 ? E. jRecording, 记录
- x5 e' L& D1 O( u* PRedescending estimators, 回降估计量0 U1 S0 h3 B' o
Reducing dimensions, 降维# J( d" c* `, f5 c& s7 C+ @
Re-expression, 重新表达 B8 M$ j7 \# s0 t# y& a
Reference set, 标准组
# d- ^2 ~! L: Y& j9 tRegion of acceptance, 接受域
* y# }/ M' m, WRegression coefficient, 回归系数
" D0 Y* V. v2 o) M8 oRegression sum of square, 回归平方和
, E0 |+ ?7 c4 DRejection point, 拒绝点" e3 j/ c& ^* t
Relative dispersion, 相对离散度
/ M, e; N- L( e: y5 ARelative number, 相对数
8 G3 H1 Y0 y0 oReliability, 可靠性# S0 B( T" `7 ?/ o
Reparametrization, 重新设置参数/ l3 ?3 K+ g- ^4 U
Replication, 重复
% ]% q5 t2 h: z$ C: A& bReport Summaries, 报告摘要
# L. w! ?3 a9 qResidual sum of square, 剩余平方和
1 M, W+ @/ B) [Resistance, 耐抗性7 Q6 {9 Q! u. n1 {6 o
Resistant line, 耐抗线( \9 a: G. u& |. p8 o3 @& i6 L
Resistant technique, 耐抗技术+ t7 I2 o j |0 r
R-estimator of location, 位置R估计量5 o" V( w' _$ p+ x- J* c
R-estimator of scale, 尺度R估计量2 A, g3 T. H, w( Q; w+ G
Retrospective study, 回顾性调查1 l5 s4 u6 E4 Z0 }- K+ [. O; l( s
Ridge trace, 岭迹
8 [# ^5 D. I" M3 A2 r' gRidit analysis, Ridit分析' Y" z+ f6 I, J3 w
Rotation, 旋转
; s: B; ^* U: v1 _( ?Rounding, 舍入
; w9 [: {/ K$ g8 {Row, 行
4 U2 {! N6 ~( ~% o3 l/ gRow effects, 行效应
% @' U" S2 ?8 m |% ]0 v$ Q+ }Row factor, 行因素4 h/ A/ r- ~( R+ f3 e7 C: @1 e
RXC table, RXC表" Y% a& q2 k( a6 {3 [2 A, U
Sample, 样本
% Z6 B: }0 G" b9 U; w" f hSample regression coefficient, 样本回归系数
' F* u' ? ` K" `; t! P- I$ sSample size, 样本量+ E% H! H5 S$ Y; z
Sample standard deviation, 样本标准差* T5 F+ p2 J/ x7 Q, s
Sampling error, 抽样误差5 J6 e( K# p9 k) v6 a
SAS(Statistical analysis system ), SAS统计软件包
" u- N1 s9 U0 Y1 z* V: l/ B9 BScale, 尺度/量表- G- f- h5 a$ ]! F4 D5 K: i
Scatter diagram, 散点图
/ f% P$ \+ }! xSchematic plot, 示意图/简图: }% @6 R2 |; Z6 m+ k' [0 {
Score test, 计分检验9 q/ d/ W9 u6 a7 \
Screening, 筛检
' Y9 r: ] R2 i% J+ o% WSEASON, 季节分析 " F" w9 e: q/ c* T% [9 \
Second derivative, 二阶导数
7 s: H' c+ ]2 Q: D* x1 y7 W6 g( w- k0 ySecond principal component, 第二主成分
! g! w( `. S$ a6 xSEM (Structural equation modeling), 结构化方程模型 ( H/ C- f4 }6 u8 T9 S
Semi-logarithmic graph, 半对数图: Q6 Q+ e% w$ t( ~* \4 M
Semi-logarithmic paper, 半对数格纸
: E3 {) D; ^6 @Sensitivity curve, 敏感度曲线
' s( J6 Z8 {8 pSequential analysis, 贯序分析$ o. R; Z U) O' U! [
Sequential data set, 顺序数据集
, V. ^' L+ e! i4 o/ s3 ^Sequential design, 贯序设计
* R4 n3 \1 m B$ y, PSequential method, 贯序法
[' Q' b9 i. y! ]0 [6 A% QSequential test, 贯序检验法
0 v. P# K" w! O \* ySerial tests, 系列试验
" b* y* V# m' `. k; s# fShort-cut method, 简捷法 5 }1 X( J- Z/ g6 |4 H; A
Sigmoid curve, S形曲线2 J0 ?: `* \, C, Y% K- |' b
Sign function, 正负号函数
( u8 J& F$ o; e* g! X5 USign test, 符号检验
- q x6 F [" h' t6 dSigned rank, 符号秩
( k. W- S& `; Z1 s' w8 T) _ PSignificance test, 显著性检验+ g# @0 @4 Y! ~& h3 s6 j9 h2 z! n
Significant figure, 有效数字
) d! T7 d2 [/ `! R5 Y+ TSimple cluster sampling, 简单整群抽样2 d4 I, @4 P" ^; ?0 |5 _
Simple correlation, 简单相关
8 ~9 k/ k; L6 b0 FSimple random sampling, 简单随机抽样
! R# @! K. I3 a; w8 o1 oSimple regression, 简单回归* q z$ J" T& h1 n& A
simple table, 简单表% `6 X6 [; _# v( j9 @3 K+ C* p4 w
Sine estimator, 正弦估计量% |/ K$ A& b# }9 F) M' U
Single-valued estimate, 单值估计
' S ]5 M# p9 @) d% }; s W8 RSingular matrix, 奇异矩阵) q- a0 i4 D/ i% J9 s# J5 v$ U
Skewed distribution, 偏斜分布
4 ?; j( [/ q+ i* `% aSkewness, 偏度
/ E' O& r6 R* G9 dSlash distribution, 斜线分布+ F2 R" |/ y: t0 q) w
Slope, 斜率
& a4 ?* S2 T% Y, ySmirnov test, 斯米尔诺夫检验1 V+ x! p" V$ b* z; x6 e: \
Source of variation, 变异来源+ C- K6 o8 h: K2 y0 e8 H* C
Spearman rank correlation, 斯皮尔曼等级相关+ m A1 g% J2 G2 K7 l9 n, y; ~( g1 p
Specific factor, 特殊因子
8 g# I2 x, l7 W, q9 t9 n' FSpecific factor variance, 特殊因子方差
k1 K2 N8 h4 v; f) |5 d6 j4 mSpectra , 频谱
. b! m* i# q, G9 I$ [5 g- i: W! qSpherical distribution, 球型正态分布, A' t6 O: V. h: R+ P9 a# V8 e
Spread, 展布
# w" R! G4 y4 USPSS(Statistical package for the social science), SPSS统计软件包
, y7 f4 _! X9 J+ Q8 z* t: A1 ]Spurious correlation, 假性相关/ p" U8 h' d, v) H
Square root transformation, 平方根变换
2 |% {* ]2 l( u0 R) B6 AStabilizing variance, 稳定方差. e/ ~5 d3 V1 x; y
Standard deviation, 标准差
+ B7 S$ A- F- }5 V+ `Standard error, 标准误; {, A5 ?0 W" ^" N
Standard error of difference, 差别的标准误- c8 Y1 A! x" b+ }6 N. h7 e. Q$ S( G; V
Standard error of estimate, 标准估计误差
: j1 C" }' L4 p; ?3 BStandard error of rate, 率的标准误% T: c0 i) d+ U
Standard normal distribution, 标准正态分布
# d# x8 C( H* v0 rStandardization, 标准化8 S Q6 o8 Q& {# D, T: J8 n
Starting value, 起始值
" y( V- H* x, \( ~8 Z( N6 KStatistic, 统计量0 y. l' g& s1 |1 f5 f6 n
Statistical control, 统计控制
8 N% [$ `! v! k7 K/ `4 jStatistical graph, 统计图
( V9 }% S) p$ ^6 F* V- [, ` YStatistical inference, 统计推断
# E/ \* u7 [: e: d, @8 QStatistical table, 统计表' q. c& T% }3 B. V
Steepest descent, 最速下降法0 c: j" X4 d5 N& W) z; P
Stem and leaf display, 茎叶图
7 `7 k" v) q; D7 q/ HStep factor, 步长因子2 M9 G, z# G& V1 _& U: U0 P+ b1 w' u
Stepwise regression, 逐步回归
2 d! i: p+ s: x* e% RStorage, 存
4 ]; ?8 Z$ Q) HStrata, 层（复数）! y) S1 Z9 p+ D* x1 z, |$ L+ {
Stratified sampling, 分层抽样) B) w" j. u. X$ }, s% G
Stratified sampling, 分层抽样' k/ E2 N* Q7 v. F s3 J% j& f! C4 C/ b7 R
Strength, 强度
9 c* T% o$ }+ F0 ?4 JStringency, 严密性4 U- i/ V7 K0 Q
Structural relationship, 结构关系
# g$ B# }9 |; C3 I8 x0 [Studentized residual, 学生化残差/t化残差" |. {6 Q( E. g6 p
Sub-class numbers, 次级组含量
~! [# W& ]" `* o j. VSubdividing, 分割
) O$ ^8 F* M- e2 ~" FSufficient statistic, 充分统计量6 D8 p i8 @! y ?1 J
Sum of products, 积和: {. E5 @0 P. ~: [" ] B9 A/ `% o
Sum of squares, 离差平方和 W9 E* E8 ?$ e. n% s/ e
Sum of squares about regression, 回归平方和
0 C3 X2 f j; o; a# R8 _; oSum of squares between groups, 组间平方和
: \1 j$ g4 M r" cSum of squares of partial regression, 偏回归平方和4 v# l- d7 L: {$ I
Sure event, 必然事件
* ?0 G/ b# L Z: K: n- |* ^+ |1 |Survey, 调查
3 C1 s! a% O8 t/ u! s! bSurvival, 生存分析) y4 i; X/ x3 m
Survival rate, 生存率
% E& [6 M, v: q; [4 z: P3 DSuspended root gram, 悬吊根图
" H$ A% @& I" \. O. T) ~Symmetry, 对称7 n: T0 u Y! q9 e; I' {3 P
Systematic error, 系统误差
$ `+ C& z$ j3 H( }( TSystematic sampling, 系统抽样
- |( n. H( E7 k- @8 O4 s) XTags, 标签
" d- a, J) Y* M) nTail area, 尾部面积
% K/ w5 K8 D# l7 W! V" n; ETail length, 尾长" G2 D3 g5 H! V9 _; o# C
Tail weight, 尾重, Y. n* d2 c: \% o
Tangent line, 切线
1 `( B( _5 d" P! f" V, {Target distribution, 目标分布3 b3 N6 K; |! D/ d. V1 Z$ U3 N
Taylor series, 泰勒级数
4 F; C2 X4 o( H: }: `7 x' ZTendency of dispersion, 离散趋势' O" s, U5 ~- x% Y; {/ K, S8 ^
Testing of hypotheses, 假设检验) G. X+ F* v) M% ^" s
Theoretical frequency, 理论频数
`- {9 h9 _9 j* o; L# ZTime series, 时间序列+ k" {# t5 d9 a( R7 W
Tolerance interval, 容忍区间
( |( `" ^' l. P+ F- jTolerance lower limit, 容忍下限0 D/ h4 K N; u* \: o
Tolerance upper limit, 容忍上限
: i. G: J& c9 E) y: ], TTorsion, 扰率. @3 A& Y D6 d+ D9 G
Total sum of square, 总平方和
9 X7 N* m, |1 R+ GTotal variation, 总变异
) w4 y) f4 Z9 I( B3 r4 _! eTransformation, 转换( ]8 p3 t- H' P, Z& z9 ^
Treatment, 处理
; A2 ?+ @3 l3 P# {3 f" {% _7 ^Trend, 趋势
+ m' C( U2 _% B7 k4 z8 rTrend of percentage, 百分比趋势
8 y7 R B+ | `7 V& k: s4 b* eTrial, 试验/ |& |0 |2 D. O( h
Trial and error method, 试错法 ~) {: ~2 \* z+ G d
Tuning constant, 细调常数
# p e. o0 L! H& JTwo sided test, 双向检验* L' S+ l3 t( _% I) ^& E: E2 g
Two-stage least squares, 二阶最小平方
2 o- w1 T0 N+ H( o* g1 ^* p$ u1 X1 STwo-stage sampling, 二阶段抽样- ~, d0 g% O: s: Y
Two-tailed test, 双侧检验7 \2 B$ @2 }! { h% _3 h
Two-way analysis of variance, 双因素方差分析
* ^1 o( \$ Y1 t; ^! _Two-way table, 双向表
& z! ^* o. j) U Q1 ]0 {5 S8 _, V2 ^9 YType I error, 一类错误/α错误
2 C. i4 ]* C4 N2 y+ i0 TType II error, 二类错误/β错误
3 s& y' G8 G7 e, i* n! mUMVU, 方差一致最小无偏估计简称
Q6 l+ ~0 O9 [9 MUnbiased estimate, 无偏估计
) R. n: o! u) Q( I& }Unconstrained nonlinear regression , 无约束非线性回归
( g* p, A' l7 D9 t3 fUnequal subclass number, 不等次级组含量
|" C: G& S% S* a0 TUngrouped data, 不分组资料
& c x% [. t* Q) JUniform coordinate, 均匀坐标
6 q% A" O) x: ^4 [Uniform distribution, 均匀分布" l% }) w$ g8 w- z }- F, u
Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计
+ o6 ` W3 e J$ G9 m; YUnit, 单元2 e% B3 ^' V. T# {1 q
Unordered categories, 无序分类
5 B/ ~. Y! }$ e/ b3 FUpper limit, 上限
% ]( V7 h" Q6 Q% g& E0 wUpward rank, 升秩
, x4 M `: I3 i* \; nVague concept, 模糊概念2 k2 a: e: G9 Q6 k4 o
Validity, 有效性2 g0 e% P) O* |0 q+ L
VARCOMP (Variance component estimation), 方差元素估计
! H. Z/ c1 a% e5 e B2 x, b% oVariability, 变异性, G2 y+ A$ b8 X, i3 |% L9 R% a
Variable, 变量( s' x# }% }) o& e: M0 a t
Variance, 方差* K1 J& ?5 M3 a& [' I
Variation, 变异
1 Z& z4 [8 M6 ?! ^' o3 s7 EVarimax orthogonal rotation, 方差最大正交旋转% q+ l, H8 D, d: g! I
Volume of distribution, 容积5 ~) f/ E: O8 g7 {
W test, W检验1 i2 _6 B1 X, D
Weibull distribution, 威布尔分布% `) s! e% x9 a" B- u
Weight, 权数
) p/ P5 @# h& N6 ^( n6 mWeighted Chi-square test, 加权卡方检验/Cochran检验
% J, g, V1 U3 J3 b" {) hWeighted linear regression method, 加权直线回归
5 s+ G9 c! Y( x2 x* E% h1 E/ j2 WWeighted mean, 加权平均数
6 ^# Z' g4 m; ]3 s2 ]: ]Weighted mean square, 加权平均方差* x" L/ a$ y/ @9 O2 O
Weighted sum of square, 加权平方和
& L3 r6 v. B+ y3 W$ zWeighting coefficient, 权重系数- m& b: H! V: G. v
Weighting method, 加权法
6 L0 [, k* j3 h; J" _& F( M$ ]W-estimation, W估计量8 q7 z6 \3 k8 r# J& S
W-estimation of location, 位置W估计量
' h7 V7 e7 r( tWidth, 宽度; F4 U- h% x7 W
Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验# s$ Z4 V2 i+ }4 F7 o$ H
Wild point, 野点/狂点! l# M! g" D; ~6 h! t
Wild value, 野值/狂值
& O1 K8 K# U. R5 C) H( w. PWinsorized mean, 缩尾均值
0 \/ g h0 q$ W/ y" YWithdraw, 失访 ^) U' v) R/ A' s8 p3 e3 V s' f
Youden's index, 尤登指数
. F) }3 n, c8 k- n2 c$ r5 r0 Q/ ^Z test, Z检验4 [9 Q9 h% X; Y+ C- c6 X* z$ o
Zero correlation, 零相关
3 ?8 k) Q" A4 |: GZ-transformation, Z变换 |
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发表于 2009-1-6 22:05
