|
|
Absolute deviation, 绝对离差; K0 A' c8 w9 l1 i
Absolute number, 绝对数
" E4 }) ]# |& C) `Absolute residuals, 绝对残差8 j% j M, h) n" J; r# I8 u3 @! W
Acceleration array, 加速度立体阵! r! L: h, P+ h5 x
Acceleration in an arbitrary direction, 任意方向上的加速度" D/ K4 E" k3 S, a9 Y3 b
Acceleration normal, 法向加速度9 @$ x7 @ D' q ?6 E: f P& y
Acceleration space dimension, 加速度空间的维数! \. t! ~' y( Z% N* u0 K+ r
Acceleration tangential, 切向加速度2 Q7 T# f6 }+ E6 o( G( @; X
Acceleration vector, 加速度向量
) W* W# `% j: B: R: G ?Acceptable hypothesis, 可接受假设4 s/ s/ q7 M& L2 u y
Accumulation, 累积- N! I/ a4 @1 q
Accuracy, 准确度
- d3 k+ v8 W# j4 _" e9 h% V$ K, TActual frequency, 实际频数
' q1 q# Q' c9 x& H/ g& N6 tAdaptive estimator, 自适应估计量0 @- I, F1 V' z2 r0 T
Addition, 相加0 {! _5 n; ~ _1 s! J
Addition theorem, 加法定理
" F5 q# h( E4 a% r- j0 `: PAdditivity, 可加性
/ i: ?% |- }1 c' R0 j# W5 \; XAdjusted rate, 调整率
, V# P- U0 }' e% X* iAdjusted value, 校正值
# O1 |3 i6 u' c9 j. Q* h. DAdmissible error, 容许误差
! @' R* I( k) z$ g O9 GAggregation, 聚集性
* V, |. f; [8 \. _! d# l8 j' IAlternative hypothesis, 备择假设* o! l7 J3 x% e+ s! L
Among groups, 组间* W( F' ~$ z) {) f! h9 O; B
Amounts, 总量$ P7 o7 ^6 N! P$ S# w
Analysis of correlation, 相关分析, k4 Z& E# o L
Analysis of covariance, 协方差分析8 ]1 ~1 r& U; h% ]* ~
Analysis of regression, 回归分析& ~7 I* a' J' z' u+ I V. |
Analysis of time series, 时间序列分析; Q3 t& R* I1 R; _# b
Analysis of variance, 方差分析
) K! f. N* D$ @Angular transformation, 角转换
/ w$ ^$ E- \; ^! T% _ANOVA (analysis of variance), 方差分析
3 [0 O1 h5 _7 P; CANOVA Models, 方差分析模型
4 l) \( s4 x6 I, F! W) [' aArcing, 弧/弧旋
" h' I/ u( \ K+ K6 D9 e7 Q+ {Arcsine transformation, 反正弦变换; H9 p9 t) V: a9 n9 G7 P
Area under the curve, 曲线面积( W9 c$ c$ P: T
AREG , 评估从一个时间点到下一个时间点回归相关时的误差 # X! D, w& D. K# f
ARIMA, 季节和非季节性单变量模型的极大似然估计
8 ?3 w2 _8 r; `2 f- y" u8 {Arithmetic grid paper, 算术格纸, j+ P) Z! z3 M3 Q! A
Arithmetic mean, 算术平均数
4 C0 u. Q+ w6 R& a, d' aArrhenius relation, 艾恩尼斯关系: _8 O' Z6 M t" H
Assessing fit, 拟合的评估
( v% L# `/ g7 T3 s' { GAssociative laws, 结合律
/ u. W; |1 Z, Q7 K) c& Z$ k* b$ X! nAsymmetric distribution, 非对称分布
' F1 d+ N, A' Z6 @3 [( H! c2 {Asymptotic bias, 渐近偏倚
' j/ _) J& l6 A, pAsymptotic efficiency, 渐近效率
: u8 E! S( j; I$ y0 z0 h/ z0 WAsymptotic variance, 渐近方差
1 t8 M8 |8 S, D" RAttributable risk, 归因危险度
& f& r8 H" J' G3 WAttribute data, 属性资料
4 S V9 _" g3 ^Attribution, 属性( R- c; x# A [* a0 B
Autocorrelation, 自相关! x1 \; N6 i0 F9 N& ? w: w
Autocorrelation of residuals, 残差的自相关! H: g g% B5 c! x7 w- q
Average, 平均数: d O) @+ C u1 R( a
Average confidence interval length, 平均置信区间长度1 z6 R! ]5 `) M0 F! Z1 _
Average growth rate, 平均增长率
) ^7 _! g/ s0 |4 q3 `5 p, aBar chart, 条形图
; Y. w9 M0 a2 W+ B; W6 ^Bar graph, 条形图
, H$ C X$ r# s0 qBase period, 基期
+ D; S" n5 Y5 yBayes' theorem , Bayes定理
) {& t) o. a. i& \+ l9 V0 T7 hBell-shaped curve, 钟形曲线# @' `4 u: f0 e+ f9 [3 n+ d, t
Bernoulli distribution, 伯努力分布' X7 X& w3 Q! ~
Best-trim estimator, 最好切尾估计量! J1 ?( o9 N: r5 A) w; |7 d
Bias, 偏性
6 r3 R& e$ J% _7 ?% T4 p5 tBinary logistic regression, 二元逻辑斯蒂回归; W$ d" F4 u2 k2 R# d: w
Binomial distribution, 二项分布
) h9 |0 g# M5 ^9 u+ a+ i2 j' wBisquare, 双平方
0 P- D7 o* ?0 `( I+ kBivariate Correlate, 二变量相关
4 G4 u( d5 b$ w1 [: L4 W+ KBivariate normal distribution, 双变量正态分布 B& I; p, Z* K3 O+ y" Q+ ?3 J; \
Bivariate normal population, 双变量正态总体
. V. L6 h# L2 ]0 _' J# nBiweight interval, 双权区间
0 i( n& i0 \. _6 KBiweight M-estimator, 双权M估计量
) i; F8 u. B; e# SBlock, 区组/配伍组" E3 S1 E1 V( `" N1 ^ M
BMDP(Biomedical computer programs), BMDP统计软件包
6 t. G x2 p2 j, V3 ]3 u' z) h0 f! }Boxplots, 箱线图/箱尾图8 h: t. E. R$ M' P6 c; T% O; k
Breakdown bound, 崩溃界/崩溃点
; b0 c! n" e/ A+ _, P2 U! X/ ]" uCanonical correlation, 典型相关- A. }: Q+ r' E
Caption, 纵标目8 ~9 O& a. Y# ^7 w
Case-control study, 病例对照研究. x k% M6 `- F
Categorical variable, 分类变量/ |/ X s& C( b' E3 `
Catenary, 悬链线1 D! g2 [) |* j6 H: Q
Cauchy distribution, 柯西分布
, q; ^, r1 p* m$ S2 A. sCause-and-effect relationship, 因果关系
5 l! H: }8 U/ B) FCell, 单元
" x# U. B* [0 D6 t/ T, _9 h6 qCensoring, 终检
! ~, w7 i& j5 e; oCenter of symmetry, 对称中心
, I% J" V- D5 E6 i4 p2 ?- r, eCentering and scaling, 中心化和定标
) L- }* q9 r4 w. v. mCentral tendency, 集中趋势
u: r( d( D; ~& {, V3 P) qCentral value, 中心值% B; w' [ H" s; R& p* K5 d. O
CHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测
7 a8 w" F S4 b: nChance, 机遇
4 ]0 }2 a( `/ b; f, u0 l+ dChance error, 随机误差
# L- k% I2 d- V( b5 U6 e# D& T3 JChance variable, 随机变量
: O! u% _# u# }$ ^, h8 p, BCharacteristic equation, 特征方程+ u& N+ [( Z7 o
Characteristic root, 特征根# M1 \4 n' e8 I0 w; J, b& {
Characteristic vector, 特征向量8 Q2 J0 n# d- [9 ~- { r+ P
Chebshev criterion of fit, 拟合的切比雪夫准则2 ^, J. U. I) W: y8 P' u# ]! {
Chernoff faces, 切尔诺夫脸谱图. B5 F I, H1 S0 z# ^ J6 z; J) C
Chi-square test, 卡方检验/χ2检验: g5 v( L2 ?( r) u' x8 x) Q, @: O
Choleskey decomposition, 乔洛斯基分解+ X# b8 u9 F9 X' h& C* V3 Z3 h
Circle chart, 圆图
, }3 g3 t6 O! g, q3 b- Z; _& x1 o0 XClass interval, 组距
. i7 ~' b2 s% I4 BClass mid-value, 组中值
+ I4 u7 G7 a; q* @* E2 h4 sClass upper limit, 组上限9 H& e1 C3 n" q+ ?4 U, M8 j
Classified variable, 分类变量
; y0 ^# p1 S1 I7 d2 qCluster analysis, 聚类分析+ e9 ~- `9 Z1 c5 W9 [
Cluster sampling, 整群抽样
$ j( p: U& m' w p( zCode, 代码! _3 w; I* ~, C$ L# ^3 v1 U9 X0 U
Coded data, 编码数据, E$ b7 p# {, g6 G1 w d
Coding, 编码7 H; N1 `/ M2 G, e
Coefficient of contingency, 列联系数
/ C& D5 m% ^8 `( S$ Z9 yCoefficient of determination, 决定系数% t* q% r- w Y# `# H; k
Coefficient of multiple correlation, 多重相关系数; @& W- N4 u# N1 Y+ ~
Coefficient of partial correlation, 偏相关系数: {1 U* }: P9 ?4 E& y5 K
Coefficient of production-moment correlation, 积差相关系数. [8 f8 K2 M2 E$ ^' y
Coefficient of rank correlation, 等级相关系数" U+ Z7 H4 W6 Y4 B) Q
Coefficient of regression, 回归系数: H3 \3 e3 |& l1 w. Q+ p1 E
Coefficient of skewness, 偏度系数1 q) L' W7 ^! @; v8 b; Z7 c
Coefficient of variation, 变异系数. O/ r6 c2 Z1 L! a
Cohort study, 队列研究- o1 }/ ~* T+ C% W0 W/ w+ q
Column, 列
) Z# m1 A' \8 S' z8 eColumn effect, 列效应5 I3 U. T o! S7 R3 V: t9 a& q
Column factor, 列因素% O& o7 ]6 n1 ]1 L3 ?
Combination pool, 合并
+ E* E7 E" R0 _. R. ICombinative table, 组合表
# R' d; u+ |" a, @5 c5 j9 V+ [Common factor, 共性因子$ F& W0 N3 a5 c \- C
Common regression coefficient, 公共回归系数& f/ e0 a8 C) Z' `! Y- ]. e
Common value, 共同值
/ @( L% f: M3 d# w# C4 f9 ~Common variance, 公共方差3 t) e2 c, q3 l5 \
Common variation, 公共变异
% V9 x2 y+ h9 \7 bCommunality variance, 共性方差
4 f& W4 l1 p. B% P& h! a' vComparability, 可比性- D3 o. |4 _7 K* Q; g" o1 w. b
Comparison of bathes, 批比较
u* a \4 l Q/ rComparison value, 比较值 y2 T) ] h2 b5 v- `
Compartment model, 分部模型
1 E. |# N3 R1 p. M- e. PCompassion, 伸缩5 h* @! m9 i" x; B
Complement of an event, 补事件( d3 q |! `: y% S4 R y
Complete association, 完全正相关0 ~9 d7 y5 Q1 N, ^5 J4 A; Q( L/ a
Complete dissociation, 完全不相关
9 E4 P$ ^+ R- D1 b" hComplete statistics, 完备统计量' ^% L! e4 |8 x
Completely randomized design, 完全随机化设计( A, T; i' O+ A+ n
Composite event, 联合事件 d7 j. F! | `8 h; Q: f0 Y8 d
Composite events, 复合事件
& [" D; K# U2 ~* y1 SConcavity, 凹性
2 J2 i# u- v# h: r8 B4 P9 @Conditional expectation, 条件期望. y! v4 k" U* [8 e2 U
Conditional likelihood, 条件似然& C9 s: p- m* Y' U3 M
Conditional probability, 条件概率4 T8 s, j3 i' e* W) l; M
Conditionally linear, 依条件线性8 I+ M* m/ s' \" R& U) Q% n
Confidence interval, 置信区间
( }" `( h* c8 i+ r4 WConfidence limit, 置信限
' D1 X0 G" G3 ?0 H5 J+ h( T+ P3 {2 gConfidence lower limit, 置信下限8 I/ i) v ~* P z* R# y) }
Confidence upper limit, 置信上限) F* n8 B d; ^% e
Confirmatory Factor Analysis , 验证性因子分析
& d6 N2 }: q: y5 _Confirmatory research, 证实性实验研究, p# e6 O3 ?2 R
Confounding factor, 混杂因素" j3 ^, s3 c" Y0 T, d
Conjoint, 联合分析
* B! B S) A2 BConsistency, 相合性. U9 x( N' J; z9 W5 n
Consistency check, 一致性检验) E! ]2 s% V$ a% }0 Z! M
Consistent asymptotically normal estimate, 相合渐近正态估计
- ?1 f$ n4 ^0 F1 p) WConsistent estimate, 相合估计
, o6 `1 K) a' C+ f/ Z4 P6 MConstrained nonlinear regression, 受约束非线性回归
& L/ t1 ]$ X; {2 v8 x RConstraint, 约束2 o: I" n; W* _. W% a) ?- W
Contaminated distribution, 污染分布
9 X5 s7 ?& T, r- T4 ~' P TContaminated Gausssian, 污染高斯分布5 k3 g$ C m" ^) O4 R. |( H& W
Contaminated normal distribution, 污染正态分布
1 u* S4 h j, o$ w. [5 IContamination, 污染3 w( q( o3 h- q2 G1 D, N
Contamination model, 污染模型
9 s6 N; x! v5 [, V, [Contingency table, 列联表0 F( x# S. L" }( A' E! z# o; I/ m( s
Contour, 边界线
5 s6 o0 [$ z, l9 HContribution rate, 贡献率5 ^/ }9 }/ A1 {3 J8 ]- x4 j
Control, 对照
) ^- m: e. q. |" k6 O! WControlled experiments, 对照实验$ e- | G% \- O" t
Conventional depth, 常规深度% N9 O& p" ^5 N L4 W& x
Convolution, 卷积6 P! A% s$ n9 H9 t8 F3 V6 t
Corrected factor, 校正因子
; X1 S* ^9 v, _Corrected mean, 校正均值
0 `* i/ D8 o6 P5 [Correction coefficient, 校正系数
7 E& Z6 l2 @( DCorrectness, 正确性
w- I9 k5 V1 c0 F. N. pCorrelation coefficient, 相关系数
5 o/ p& [% X E) i: W# M" D& _Correlation index, 相关指数
- a8 B Q. `* @- ?- i9 `Correspondence, 对应" K2 y3 b4 |! p5 ?) p
Counting, 计数5 G9 F% \" F7 g2 D4 I- a
Counts, 计数/频数# e" \: h% b5 ~8 F8 G, x
Covariance, 协方差
4 P5 V. y, q5 O, r* S' r" WCovariant, 共变
6 }2 H1 i' Q( E9 Y; o$ HCox Regression, Cox回归6 Z; I# c+ d7 J; G
Criteria for fitting, 拟合准则6 W8 D5 u& Z6 g" E4 i6 h% I: I
Criteria of least squares, 最小二乘准则) p2 x$ H8 ], F+ V
Critical ratio, 临界比
0 Z% M' p x+ f' m8 `; sCritical region, 拒绝域 L0 z- `$ X# v2 q$ ^# l
Critical value, 临界值
, ~) v5 C% ?+ S9 z) O/ {& kCross-over design, 交叉设计3 r3 m; E T! B9 u1 x* `" A! a2 O
Cross-section analysis, 横断面分析' r1 k% M1 t* C( E% f
Cross-section survey, 横断面调查
* f f" R9 h: F. H* Z! r) tCrosstabs , 交叉表 $ K9 |8 ?; r q
Cross-tabulation table, 复合表
# o: S, T8 e$ n9 PCube root, 立方根
2 m7 |. ^' |# Y& ?) q/ S" A9 {Cumulative distribution function, 分布函数1 O# ~( i% X2 ?" f/ n I! V5 |( K
Cumulative probability, 累计概率
# P1 u" x- A% JCurvature, 曲率/弯曲
. ]3 f$ e: F/ {( K/ MCurvature, 曲率
8 O) x1 D4 x& V! zCurve fit , 曲线拟和
2 j/ E5 }; a$ K4 Q- kCurve fitting, 曲线拟合" ~8 s& k; S7 o
Curvilinear regression, 曲线回归
# k- C1 j/ F5 R4 VCurvilinear relation, 曲线关系( D1 X/ X8 Q8 O& O3 t! R
Cut-and-try method, 尝试法9 A$ \3 S* H0 W1 K, l3 J9 f q
Cycle, 周期
9 [# g2 v# e& C( JCyclist, 周期性
4 {6 U& \% F6 m0 D% lD test, D检验
/ |; F# T1 s& n' b! O) T( y- m0 CData acquisition, 资料收集
: x* w4 k |( V* S* n4 G. U' @Data bank, 数据库" \4 {8 R9 {3 P+ T. c; V) @$ A' M# h+ P
Data capacity, 数据容量2 ?. c" e+ `# N) T+ f8 B
Data deficiencies, 数据缺乏
8 ^- x. z* M3 SData handling, 数据处理0 \: E+ z" [5 X& v% b/ h
Data manipulation, 数据处理8 x* \' U5 `( H2 ^: u
Data processing, 数据处理- i+ C( E. l+ x9 U0 p. f2 S& } i# c
Data reduction, 数据缩减
$ `( u5 [4 W* P# [$ X# kData set, 数据集 p7 t: l# A" W: @. O/ E
Data sources, 数据来源
' L' M- V3 a+ d/ HData transformation, 数据变换
# ]0 X5 f6 X; I1 N! a; oData validity, 数据有效性8 d6 D4 k! {; v
Data-in, 数据输入
0 V8 m$ Y$ T' C9 \& M% A7 S+ R- BData-out, 数据输出1 L( i& J3 o8 V9 ^
Dead time, 停滞期
" t2 r& q5 [1 _7 xDegree of freedom, 自由度
2 E6 s5 x- U9 W' W; `, vDegree of precision, 精密度. `7 \% u% k. v! i' m( t
Degree of reliability, 可靠性程度4 u+ m1 Y! o+ Q* ]( l1 g
Degression, 递减+ Q, u. w4 z" |* [' V2 H
Density function, 密度函数) W1 i( A0 @ |" T6 z; K1 s
Density of data points, 数据点的密度1 a& e& T0 |/ H8 a7 b3 B' N! J: S
Dependent variable, 应变量/依变量/因变量' d& r9 v4 y0 E! `6 R4 a
Dependent variable, 因变量
# I1 s; y6 l+ r5 W6 uDepth, 深度7 S5 u0 z, F) q
Derivative matrix, 导数矩阵- [: e! n t1 D/ L: S' h
Derivative-free methods, 无导数方法( R9 z5 \6 J% K& i8 ~( t
Design, 设计/ h! {+ m5 x$ a+ q" ~
Determinacy, 确定性# r9 B+ `6 o) i$ i0 e4 e. o
Determinant, 行列式
; i6 Q4 j. s& u2 vDeterminant, 决定因素8 Z4 S$ c& S. [
Deviation, 离差
0 h; y+ o( s8 G$ T7 k/ y1 S& ^Deviation from average, 离均差7 g- N9 o0 ~9 i; m
Diagnostic plot, 诊断图) Y/ a+ i* b+ m% j' ` N1 @. t
Dichotomous variable, 二分变量; E& o( @! J+ a9 p. E( }2 I
Differential equation, 微分方程% M- j& j V; G
Direct standardization, 直接标准化法
! @7 \- V R5 @' e: O" L. _0 D0 |Discrete variable, 离散型变量
/ j1 b+ v4 x0 [4 }. \DISCRIMINANT, 判断
5 P% L! Y8 X8 x8 U0 xDiscriminant analysis, 判别分析
) M0 j; Z9 v3 [: f# ]! T8 `Discriminant coefficient, 判别系数
' J( t* `6 n& \Discriminant function, 判别值7 } n2 b$ V5 g4 A4 o. u3 ?
Dispersion, 散布/分散度$ V) F! a- I5 C3 K1 O8 b1 g2 g
Disproportional, 不成比例的. j5 \2 @7 P5 s; Q+ s1 ]: z
Disproportionate sub-class numbers, 不成比例次级组含量) W, E" b5 i: \8 p
Distribution free, 分布无关性/免分布3 f2 w# r/ @# m
Distribution shape, 分布形状0 i$ o% l( g6 |0 D$ a4 K1 L' [$ f0 W
Distribution-free method, 任意分布法$ O4 Z6 X- n' X( A8 l; d
Distributive laws, 分配律" b% k- `" c9 R/ [$ b0 F: s
Disturbance, 随机扰动项
V$ S0 S' X( gDose response curve, 剂量反应曲线
' ~% G7 i6 q" Q" U: ^Double blind method, 双盲法* g4 S6 D2 J# A- C2 o% @
Double blind trial, 双盲试验: ?: \3 {/ g& O( X
Double exponential distribution, 双指数分布2 k- W; D+ W6 E m1 G
Double logarithmic, 双对数( r3 i' C0 q$ ^1 R
Downward rank, 降秩4 n: y6 j `+ F% c1 N+ ]
Dual-space plot, 对偶空间图5 S7 W; t/ D) \0 K0 V
DUD, 无导数方法
. k! Q0 x# W; M9 M( V4 P. P& M- ^( DDuncan's new multiple range method, 新复极差法/Duncan新法% E, X! J7 z) a8 I& K9 a
Effect, 实验效应) u) s6 t& q6 J1 @7 e
Eigenvalue, 特征值
) L, m. _1 n) o; ^$ W. X8 X7 t" @Eigenvector, 特征向量
" V. Y# F, d1 D- Z( lEllipse, 椭圆
5 E$ F) g9 u0 kEmpirical distribution, 经验分布" I! e% l& y( S* M
Empirical probability, 经验概率单位$ n5 V L. Y. Y
Enumeration data, 计数资料) Z/ Z) r B' g3 p; J2 L" t
Equal sun-class number, 相等次级组含量
" f( r5 `) n3 t: s, a5 q, uEqually likely, 等可能- l$ S$ {$ f! p5 U
Equivariance, 同变性
( K, y8 d _* _. P- K* LError, 误差/错误3 J) ~: X. I/ d% u1 r
Error of estimate, 估计误差& Q3 l) E, ]* s$ @0 A+ Y1 T0 ]
Error type I, 第一类错误' I& V- a J3 B2 K2 r
Error type II, 第二类错误( }7 ~ u4 O8 }' C9 P( A
Estimand, 被估量
0 S4 F k/ R2 f c% VEstimated error mean squares, 估计误差均方: }( [; H& g* _7 {, A) g& m* y) G
Estimated error sum of squares, 估计误差平方和
, C Q6 O$ Q, d7 B- `Euclidean distance, 欧式距离
$ [( d2 u! c9 i( }/ @' y" `Event, 事件7 g/ I! q/ e* ^' e; F
Event, 事件
9 E8 D; S) d. \4 z( WExceptional data point, 异常数据点
2 B% B: n+ {1 yExpectation plane, 期望平面# Z8 _$ a1 @* j) j4 u& p5 H
Expectation surface, 期望曲面0 V. h9 k5 q5 p2 s
Expected values, 期望值
1 R3 g, {) d- f! q) q oExperiment, 实验
- y0 l" p" o4 N$ |! e7 ?Experimental sampling, 试验抽样& m) ^$ F2 L z( A/ l! Y4 w# t
Experimental unit, 试验单位2 ?4 K& ?) y9 r& F2 T3 F
Explanatory variable, 说明变量* W8 _, _ n2 x* j
Exploratory data analysis, 探索性数据分析
0 s; c& x) g6 GExplore Summarize, 探索-摘要9 F, R% v+ L; i5 P8 y: `4 G
Exponential curve, 指数曲线
3 q& \6 n8 E1 {" m# f5 g7 qExponential growth, 指数式增长
0 g# A1 T) O, c8 W* ^. J9 f; e% MEXSMOOTH, 指数平滑方法
8 `" {# z6 e7 m5 @3 g: EExtended fit, 扩充拟合# s4 i* r7 x1 Z/ ?
Extra parameter, 附加参数! f7 u$ }' H6 f/ o! V
Extrapolation, 外推法; G% A% Q, ^7 H
Extreme observation, 末端观测值
" `! q' b5 D* L1 Q. p# Z! rExtremes, 极端值/极值2 W$ J' j, ?/ @6 y; ^
F distribution, F分布
6 b! R- C6 |3 MF test, F检验- n% M$ L, y: J: V! {
Factor, 因素/因子$ q! y* q- F/ d1 I( x+ K1 M( n. X
Factor analysis, 因子分析
9 @: b2 I- b) h% c$ _Factor Analysis, 因子分析4 }5 N7 n% x+ B. |3 a2 e* Y* z! V
Factor score, 因子得分 0 j( U+ w$ D! g1 l
Factorial, 阶乘- X; Q" L; s( \- W
Factorial design, 析因试验设计9 Y ~& b2 w& o0 w5 W- ?
False negative, 假阴性
" q( H* y* O+ R2 o! WFalse negative error, 假阴性错误
! {0 I# r: G& y& A" g ZFamily of distributions, 分布族( k9 ^) f5 w+ Y
Family of estimators, 估计量族* T# U5 m0 W5 S
Fanning, 扇面
- E) i4 I5 S# X0 Z# p8 J% J1 ZFatality rate, 病死率
$ P: D3 s; s. ^5 a$ BField investigation, 现场调查6 G/ ^ a/ v! ]3 V) Q, X
Field survey, 现场调查% j# W, }1 j- d& V" Y$ D4 _
Finite population, 有限总体# Q! d4 z( l& _$ S
Finite-sample, 有限样本
9 v5 i. \5 p' r% H$ jFirst derivative, 一阶导数
4 K" L j. y2 o$ a" T' GFirst principal component, 第一主成分
9 m: ?8 ]7 p: D. \First quartile, 第一四分位数& Q5 T' Q# O9 n
Fisher information, 费雪信息量
2 ^, ?% Z, ^% J' KFitted value, 拟合值
6 Y8 d* ^0 U' Q; xFitting a curve, 曲线拟合1 i" j7 X9 G/ B1 Q7 S0 _
Fixed base, 定基5 D- P, I8 G2 t
Fluctuation, 随机起伏
; `9 h+ V- }$ A% N& a' P$ sForecast, 预测; y: L* e3 J8 Y2 L, x9 R& c& k' z
Four fold table, 四格表
, d' p: y7 ~' u1 v& g: R; p+ NFourth, 四分点+ n& `: [: j6 b: f- I- Q* t
Fraction blow, 左侧比率
l: `+ ~4 O% H7 N5 J- PFractional error, 相对误差
3 P1 J% J- z) b" i" d' UFrequency, 频率
$ ^7 k7 Q. R: b+ k& HFrequency polygon, 频数多边图
2 a+ y4 x/ [+ Q. n" V6 `8 j, F( oFrontier point, 界限点
q/ f N) z. t4 m5 }Function relationship, 泛函关系
3 E) ]: t9 D( N5 c) G" LGamma distribution, 伽玛分布
+ v+ ?/ F6 y( \: z1 _# iGauss increment, 高斯增量
9 P' H C# h; d1 |3 JGaussian distribution, 高斯分布/正态分布2 O$ S" b+ \8 _( g
Gauss-Newton increment, 高斯-牛顿增量
. ~$ H6 P0 j) v) J0 S7 w7 yGeneral census, 全面普查( t+ `- M; q3 b2 u- R7 F6 a; E! A
GENLOG (Generalized liner models), 广义线性模型
/ W% L1 @- g) _' ^6 z. n2 \Geometric mean, 几何平均数 ^& u4 P- |2 N5 r1 a; a
Gini's mean difference, 基尼均差: S) c2 n% \: w# [4 v, L4 R+ q
GLM (General liner models), 一般线性模型
' T4 r8 H# e d. D! NGoodness of fit, 拟和优度/配合度
2 V" ^) d& C) u b: g" O5 OGradient of determinant, 行列式的梯度3 z- [: c5 c! c3 h# G9 ]( j4 h
Graeco-Latin square, 希腊拉丁方
8 z5 W; X: i" }9 sGrand mean, 总均值+ p% g0 j" }6 r/ `2 u
Gross errors, 重大错误( Q2 Y0 @4 u! w' i: _, o% s$ X1 w
Gross-error sensitivity, 大错敏感度' r' ]9 A* p, U
Group averages, 分组平均
. n, a6 I# a3 P5 q; W3 e- J: `( bGrouped data, 分组资料
1 V" {9 i/ _. R( GGuessed mean, 假定平均数" h( K& @3 z- e9 o
Half-life, 半衰期
6 D) c$ X1 U5 M0 n" cHampel M-estimators, 汉佩尔M估计量7 y2 i: B0 b8 v
Happenstance, 偶然事件 l u* X3 x8 K: F
Harmonic mean, 调和均数1 v& P+ A. ]/ S; T" x9 _! S& Y
Hazard function, 风险均数
. K- \& F; [# H QHazard rate, 风险率. f& ]# {( {& ?
Heading, 标目 ' m3 J6 N/ o' y
Heavy-tailed distribution, 重尾分布/ |% e, G' @9 x* c. q
Hessian array, 海森立体阵# P" g4 b. w! e9 p2 K$ W6 \3 o
Heterogeneity, 不同质+ _; k C) {5 [: s
Heterogeneity of variance, 方差不齐 5 a: P- c! _* N+ u+ ?8 b% F2 G5 E3 l U
Hierarchical classification, 组内分组& ^% n8 H, g( Z5 p$ S
Hierarchical clustering method, 系统聚类法
2 [9 F# U O7 xHigh-leverage point, 高杠杆率点
9 j& K- @& v. m/ KHILOGLINEAR, 多维列联表的层次对数线性模型
6 n1 k& m0 F/ K! n" LHinge, 折叶点: d4 |- H# Q2 B+ K
Histogram, 直方图
3 w8 f s" I4 y2 G4 Z. aHistorical cohort study, 历史性队列研究
/ j9 k& a" {6 U$ H1 qHoles, 空洞
1 Z7 |/ k Y& F# O, Y' RHOMALS, 多重响应分析. `8 G+ ]2 o2 r4 x: H, ]
Homogeneity of variance, 方差齐性. j* ?& Y7 u1 {' E2 A+ v
Homogeneity test, 齐性检验7 m" t, ^) A" K$ O4 f# b% q
Huber M-estimators, 休伯M估计量, H" f2 X; ^8 n4 i
Hyperbola, 双曲线
1 ^6 g$ ]4 R- j. cHypothesis testing, 假设检验
: U2 d* a& A* m/ LHypothetical universe, 假设总体7 A! V9 h, N3 s
Impossible event, 不可能事件2 |; Z9 |9 E5 R+ r. _* k
Independence, 独立性. R: B! u4 [% e9 `+ W- g& X N3 l$ X
Independent variable, 自变量
8 w7 ^2 l* n. XIndex, 指标/指数2 d! p# q) L" C( {0 A. O. h) v" o
Indirect standardization, 间接标准化法6 E7 F; K5 `% R7 [4 x
Individual, 个体
3 I( H$ W( c! PInference band, 推断带, ?* y# |* m( i8 s- p. [
Infinite population, 无限总体
7 C. l! r- b$ [- ?$ r$ K2 dInfinitely great, 无穷大% D9 H1 _) E/ ~: x; q& z
Infinitely small, 无穷小
/ u4 H, m/ O( PInfluence curve, 影响曲线
- q. p$ f* e. ~2 F3 M4 z- r+ [2 r) W4 mInformation capacity, 信息容量
5 s; B7 N) I+ I. V- P6 c) dInitial condition, 初始条件
1 K# x6 ?/ e+ p* o: P( ]Initial estimate, 初始估计值
% z" N2 V6 R. QInitial level, 最初水平
1 W1 \; k0 Z! ]. F6 V( ?' c! TInteraction, 交互作用2 C# U' V& k& q i o
Interaction terms, 交互作用项
& d. k8 p& h! ]5 g8 B7 _2 p, e5 S4 F, @Intercept, 截距3 T; F: X5 ? F, [2 [
Interpolation, 内插法
1 I* d* U7 K' r9 i, m+ YInterquartile range, 四分位距7 B; I# t$ j) U4 \& x1 j: m& k
Interval estimation, 区间估计; K0 n' G1 |. b& O( Y
Intervals of equal probability, 等概率区间! B5 j- r. {3 M! ? w' k: L& W" w
Intrinsic curvature, 固有曲率
8 J; l. J# W# UInvariance, 不变性
- T, W% _2 i/ m: l" Y9 x$ bInverse matrix, 逆矩阵6 z1 _9 X V; B
Inverse probability, 逆概率
# U( V2 ? e) S0 ~Inverse sine transformation, 反正弦变换
; U8 i! T, s' K: }) dIteration, 迭代 3 s3 a2 l* n/ E0 _/ R% @ s0 D9 |
Jacobian determinant, 雅可比行列式
/ H3 t0 }9 d/ L+ t0 RJoint distribution function, 分布函数7 U5 A/ a4 e/ T) z
Joint probability, 联合概率
, _, L# n- q% g+ VJoint probability distribution, 联合概率分布! \4 x" R8 m. R
K means method, 逐步聚类法5 A v) T8 n* w$ M4 m& j
Kaplan-Meier, 评估事件的时间长度
* g& C1 C |8 c9 w7 a" O7 qKaplan-Merier chart, Kaplan-Merier图. u, ~0 \& w1 ~* e5 R# Y3 H/ ~
Kendall's rank correlation, Kendall等级相关0 _$ b8 a9 W+ l3 z$ U" |7 R# y( k
Kinetic, 动力学
: e; K, m3 S; }6 h* y- k- m5 g J" @* JKolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验) M9 P7 W/ E% s8 f4 H0 E
Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验
8 T" [! b7 C4 ]! rKurtosis, 峰度
/ n% ?1 O$ x4 s( u. hLack of fit, 失拟( P* [6 T) w4 y3 e5 z
Ladder of powers, 幂阶梯
+ O5 x! E2 j$ g; k& lLag, 滞后
% F8 ~- n' Q; V" t# oLarge sample, 大样本
& O$ u+ Q% g4 kLarge sample test, 大样本检验9 p7 X& z+ r0 z ^
Latin square, 拉丁方5 |5 ?; f9 B' ?7 e8 s4 c
Latin square design, 拉丁方设计
4 p( ]/ B# d: [3 `3 ~Leakage, 泄漏
: g% y! k( B% Y& ULeast favorable configuration, 最不利构形2 ]6 m# V+ o0 E* L& Q3 I( F
Least favorable distribution, 最不利分布, \9 ?! C9 |8 A
Least significant difference, 最小显著差法! H0 ~# ^* D4 S9 ]
Least square method, 最小二乘法
6 a/ \% ~: y. ILeast-absolute-residuals estimates, 最小绝对残差估计
( q0 X& d! z X" S- O" r8 U1 c$ `) GLeast-absolute-residuals fit, 最小绝对残差拟合
- _; G1 v; T1 E. S1 MLeast-absolute-residuals line, 最小绝对残差线% l- j6 Z" e& u: w3 `$ S6 ]; E
Legend, 图例
2 `$ [: Z% O c# z! W0 FL-estimator, L估计量
$ G# G/ w Z; r T& ]L-estimator of location, 位置L估计量 t! r' U3 M& M% l0 Z4 U
L-estimator of scale, 尺度L估计量( n4 Q- t6 I1 q$ m, @ K3 ~
Level, 水平$ e* m! n5 u V7 [1 D
Life expectance, 预期期望寿命
4 x8 N% [6 v% TLife table, 寿命表
; H& H" C& ^% r( V8 RLife table method, 生命表法
( L3 S' f' N5 _) Z2 _# ZLight-tailed distribution, 轻尾分布7 {/ C5 Z5 O+ V& R) ?& m6 K3 N
Likelihood function, 似然函数* O' d, H6 v4 {% c& R9 a! h' Q8 ~
Likelihood ratio, 似然比
" O! E6 l8 ]1 y2 x; F- ~* L' Pline graph, 线图
( u8 ^% T( q! FLinear correlation, 直线相关
! |7 `1 @6 Y) uLinear equation, 线性方程3 q; E0 O/ A; _. s( D0 I% q
Linear programming, 线性规划
9 b7 r, ~: Q% K5 J4 O1 n$ HLinear regression, 直线回归
3 |: Y( |# [$ BLinear Regression, 线性回归
. Y6 r& n+ C+ s- s. eLinear trend, 线性趋势
7 _; _0 d( g0 r6 sLoading, 载荷 * B O& m4 k8 ~5 n6 f& V
Location and scale equivariance, 位置尺度同变性
( B# _) k' F7 e$ E5 y8 y/ T6 h+ }Location equivariance, 位置同变性* }8 i/ O/ s+ Q' Y/ `" v) X
Location invariance, 位置不变性
5 N0 R6 u9 T- I( j% K& @) xLocation scale family, 位置尺度族
5 w$ v# }* i: }, a4 T0 a# ^" c$ PLog rank test, 时序检验
2 D3 E0 z6 v' A' g9 }% ]Logarithmic curve, 对数曲线
; d. g8 \& f1 |3 z( ~Logarithmic normal distribution, 对数正态分布
( t0 f0 s/ m, E$ N# u OLogarithmic scale, 对数尺度6 z' N- N: y0 V( K- p4 N
Logarithmic transformation, 对数变换
& C" t! f6 D, k; j* y3 LLogic check, 逻辑检查
' [% j; I$ }. M% s; lLogistic distribution, 逻辑斯特分布) E' O u4 B# }* l0 H. t4 K1 [/ `
Logit transformation, Logit转换
) G& g8 x# s P' M2 E2 kLOGLINEAR, 多维列联表通用模型
1 O9 U, ~$ @) r$ PLognormal distribution, 对数正态分布- q' E; I4 y0 n, l1 z9 V
Lost function, 损失函数
! I5 c! [/ o, |/ {% k! L( }0 }Low correlation, 低度相关
' T8 W/ c h2 mLower limit, 下限
" m3 C4 v5 D" K; z1 a: uLowest-attained variance, 最小可达方差
8 Q( y( z5 h1 BLSD, 最小显著差法的简称4 h4 \$ y H4 L4 g! E+ _; }9 ]/ d
Lurking variable, 潜在变量
. g8 `& O8 U9 D' Z. mMain effect, 主效应 _ f: @' \3 h7 |/ K
Major heading, 主辞标目
. r7 J; l3 Q% E. q' C3 w4 NMarginal density function, 边缘密度函数
0 A: \, s( G3 N5 \Marginal probability, 边缘概率: G: P4 E, v+ b. V! D
Marginal probability distribution, 边缘概率分布* F" U. a" ^ e6 _
Matched data, 配对资料
4 u6 x- B- T1 ~Matched distribution, 匹配过分布5 R$ W; l6 O0 K& p
Matching of distribution, 分布的匹配0 C# n a, W0 I* L6 c4 ~2 Z `0 Y" w
Matching of transformation, 变换的匹配: p7 K3 M( L# R, b
Mathematical expectation, 数学期望3 M) G! ]9 Y) G7 l7 x0 n E d
Mathematical model, 数学模型
, S" h/ h; c& G* N2 f+ t3 z8 IMaximum L-estimator, 极大极小L 估计量- C( ]$ E* r5 d' e- B
Maximum likelihood method, 最大似然法
' p4 t2 A& m* m! N T- _+ O2 JMean, 均数
$ f) F+ [1 Y: R8 EMean squares between groups, 组间均方# X' R) W& Y! f
Mean squares within group, 组内均方
' `) F) x" U) N0 L: vMeans (Compare means), 均值-均值比较
2 |: h% z: \1 L% s* mMedian, 中位数5 S1 u7 ]9 s9 d' D0 b
Median effective dose, 半数效量
S8 R8 Q- l" YMedian lethal dose, 半数致死量' Q/ K9 h4 @( @7 C I) `- z* Z8 C
Median polish, 中位数平滑
7 Z1 i1 G$ F# [$ Y9 M* j2 `2 z! YMedian test, 中位数检验
1 o/ _4 v8 L- O7 B4 lMinimal sufficient statistic, 最小充分统计量6 j( h' u- x1 ~; z; K% b; H3 v3 |
Minimum distance estimation, 最小距离估计
5 s- f3 p* J K Z9 a) L* xMinimum effective dose, 最小有效量
" ]7 t; Q* r1 l- gMinimum lethal dose, 最小致死量2 C+ p1 N1 c% E$ d" {
Minimum variance estimator, 最小方差估计量5 ^5 c0 J ]- B! z$ C
MINITAB, 统计软件包 C2 Q1 A' N1 A1 z! o
Minor heading, 宾词标目! i( U/ \2 B0 m0 c8 i
Missing data, 缺失值
- F* U) Z, |) o% t. fModel specification, 模型的确定% I- o1 G1 ^# @' v0 o) {% j
Modeling Statistics , 模型统计
: L1 w" t, P7 @- C, i/ C% v! JModels for outliers, 离群值模型" N0 O. ^! q. J! x
Modifying the model, 模型的修正8 X' n; E* G. |- |& ?7 a c
Modulus of continuity, 连续性模6 g" \! a0 Y7 w! ~+ s! e
Morbidity, 发病率 ; I Q9 y# Z( T: l* r, V1 F( b3 Z
Most favorable configuration, 最有利构形+ }6 i; T- ?( p+ j; [
Multidimensional Scaling (ASCAL), 多维尺度/多维标度& \; }/ ]6 R5 B' e" G
Multinomial Logistic Regression , 多项逻辑斯蒂回归! _# p% G2 j1 w$ _9 }
Multiple comparison, 多重比较
. l/ I+ L; c' g; O" _5 X2 oMultiple correlation , 复相关
' p1 k6 m- \$ |% w. T3 mMultiple covariance, 多元协方差$ l9 Y/ G* y Z9 P) ~0 L
Multiple linear regression, 多元线性回归5 n- s7 v0 Q; C# H5 ]5 G5 I
Multiple response , 多重选项
0 C: k2 L: E0 c8 _! ZMultiple solutions, 多解
/ t" L* Y" \7 o4 p# n1 w9 \% JMultiplication theorem, 乘法定理# d1 Z7 O2 ~6 g
Multiresponse, 多元响应( l1 |& P6 `& ]7 C8 ?; l0 S- Q
Multi-stage sampling, 多阶段抽样
; K6 A: a) ]0 GMultivariate T distribution, 多元T分布
; X( Z, }5 Z2 m* h9 a4 AMutual exclusive, 互不相容! t o4 @+ v. Y" e
Mutual independence, 互相独立& i ~1 R# q4 g. O( t5 I4 B( Q7 i
Natural boundary, 自然边界
3 T& e) o% J4 L* }Natural dead, 自然死亡& {$ m0 W9 L# N
Natural zero, 自然零
1 C3 @: x5 I5 S$ `. C8 ~3 Z% P2 QNegative correlation, 负相关1 p8 Z5 g+ J4 E L0 l7 @, r
Negative linear correlation, 负线性相关; [) C4 y' |/ Q) z7 S) [
Negatively skewed, 负偏7 V0 e, E1 l, I( e
Newman-Keuls method, q检验
1 X5 ^$ P: k3 y% ^. r' m4 A0 S4 O. l9 ONK method, q检验
: W0 X+ l A8 o4 ~/ C* A9 x0 q4 ^No statistical significance, 无统计意义% q7 c7 z9 O5 s2 _$ h5 g. k0 V
Nominal variable, 名义变量
% V% j3 W; g5 I/ D/ WNonconstancy of variability, 变异的非定常性
4 x6 v! j+ w! r) W; ^. }Nonlinear regression, 非线性相关# {( A+ d5 x1 h3 a7 w' p. n; \
Nonparametric statistics, 非参数统计
4 J' a$ \- C0 x' ]. nNonparametric test, 非参数检验
+ T3 O6 v% B8 X; P3 v! W& o/ mNonparametric tests, 非参数检验8 S3 w6 }$ H* P. H5 c1 f% [
Normal deviate, 正态离差" W9 ]) E6 W; K+ T, m! M" j
Normal distribution, 正态分布7 Q, W/ r7 q* S- V
Normal equation, 正规方程组
" @, V: O4 X$ ]1 @- XNormal ranges, 正常范围
$ g8 |6 J; b% U3 d% ~% J1 x6 e" |) CNormal value, 正常值3 p/ ^$ M2 b' Q. B8 _# @" N5 I; M
Nuisance parameter, 多余参数/讨厌参数
1 ~% _1 ~) A; a& uNull hypothesis, 无效假设 3 x, ~$ V" D0 o1 N
Numerical variable, 数值变量 Y$ r% v6 b* A) | u
Objective function, 目标函数. b7 p- V) I; |) c8 p L( A! }1 m
Observation unit, 观察单位
/ T" E& n/ D3 uObserved value, 观察值
' G/ N/ n. _( U4 ?+ kOne sided test, 单侧检验
) a' E4 U7 X! m- a5 t( Y0 y J8 P8 @9 y7 YOne-way analysis of variance, 单因素方差分析: y5 ^9 L/ g2 P& E+ x
Oneway ANOVA , 单因素方差分析4 g5 k! q: x' ^% U
Open sequential trial, 开放型序贯设计
, {: G+ Z; l/ ^/ W+ c0 _; i2 z+ TOptrim, 优切尾' `9 g+ t; t3 T$ q! I4 k
Optrim efficiency, 优切尾效率
3 P1 a* a4 [, {( _0 u8 l! VOrder statistics, 顺序统计量4 G) S" }$ B. f1 C
Ordered categories, 有序分类 E: n* A( `4 K* |- G0 s
Ordinal logistic regression , 序数逻辑斯蒂回归
2 R8 T* t; M, X* ROrdinal variable, 有序变量
9 Z* a$ _: O! c7 M% |Orthogonal basis, 正交基 ]# l$ B+ K6 v, Q
Orthogonal design, 正交试验设计( T/ O9 A0 X4 u5 A5 z% I
Orthogonality conditions, 正交条件/ O7 N6 E3 b- F) d3 y3 q
ORTHOPLAN, 正交设计
4 r0 t8 E3 x2 ?4 P4 t9 QOutlier cutoffs, 离群值截断点' e* c3 P2 ^$ v/ z6 F& ~5 w \
Outliers, 极端值
+ m, S* N8 B( r# ?1 c7 tOVERALS , 多组变量的非线性正规相关
0 C! |1 J* }: \; M% iOvershoot, 迭代过度
2 {2 h2 g* B C5 Y% bPaired design, 配对设计1 N/ f0 {0 {) O( |7 y& q
Paired sample, 配对样本
9 j7 H! @, b3 ^9 SPairwise slopes, 成对斜率" D o6 |- g1 m# q9 ^+ Q
Parabola, 抛物线
3 d4 Y. o/ O# tParallel tests, 平行试验
( X5 F6 O# j2 \4 X$ _Parameter, 参数* d8 \; T, V3 c: G
Parametric statistics, 参数统计
* h; i1 U+ l4 l3 Z% \3 J$ f" uParametric test, 参数检验
8 A* t5 M& S9 @0 d: F* \Partial correlation, 偏相关
& Y; E7 Q! ?' M gPartial regression, 偏回归! V- Z3 i8 L. o( q+ n( d
Partial sorting, 偏排序# Y4 ^5 l( ]/ j
Partials residuals, 偏残差
3 f9 |" m9 M0 _" J; G8 nPattern, 模式
/ V' |- A; ?! I7 _: K; wPearson curves, 皮尔逊曲线! [& h/ T. k/ _9 @ P( K/ G
Peeling, 退层
0 R: s* }1 G0 d% Y! p+ FPercent bar graph, 百分条形图
( P; A! X, n6 x7 p. t2 b/ g" ZPercentage, 百分比, F }: ^7 E/ F2 ?
Percentile, 百分位数1 _4 [. S6 \" @ B- }! K2 J! E! O. f
Percentile curves, 百分位曲线
+ d- p! C3 i0 k3 q6 kPeriodicity, 周期性
) k& k% p4 g4 L( P# K4 V. wPermutation, 排列/ V) m" c7 {1 y; O2 z
P-estimator, P估计量
& F6 O( B6 `5 H, TPie graph, 饼图( q) d* C- P; @
Pitman estimator, 皮特曼估计量 K- ^6 M3 A: S8 ^" K+ q% I
Pivot, 枢轴量
1 `1 O( q, Y; q3 s; yPlanar, 平坦
- z& V+ R$ e9 A( S+ |Planar assumption, 平面的假设
6 i& C; V3 j! }, u% gPLANCARDS, 生成试验的计划卡
; K3 J* ~, L& b; G* qPoint estimation, 点估计
+ ?( u. I5 U* ]* Z0 A4 wPoisson distribution, 泊松分布
: j: I! @) i6 X! X" `Polishing, 平滑& f, n+ v( F# S2 j- V$ Y
Polled standard deviation, 合并标准差/ C! j+ S! U+ e V5 K
Polled variance, 合并方差- k" b* X* b+ X! ^
Polygon, 多边图
* w) C, o6 w- U% x4 }" G' ]1 xPolynomial, 多项式
3 U! o- _ i0 I- APolynomial curve, 多项式曲线
9 W' {2 {/ h# M4 p% }" bPopulation, 总体
7 S" }$ A1 J' z3 \Population attributable risk, 人群归因危险度; m2 w9 j T1 J6 S* O
Positive correlation, 正相关4 P2 C. _/ @/ v( M+ M) C
Positively skewed, 正偏$ V" h& U& ^+ [6 M
Posterior distribution, 后验分布
8 K( e9 c& w. _5 \- v2 z9 pPower of a test, 检验效能4 q# n2 U( s% b L$ J
Precision, 精密度3 `1 D/ ]( f: j3 @3 G* g
Predicted value, 预测值) I' Q0 m" I( f, J
Preliminary analysis, 预备性分析
" q: I5 E: X+ o% k' @9 }3 W6 G0 yPrincipal component analysis, 主成分分析
7 f6 K( d( E* FPrior distribution, 先验分布
( l* l6 E" v! N; d* ^5 V5 rPrior probability, 先验概率
- W' Z$ S/ X' s' ?% XProbabilistic model, 概率模型
4 ^' U+ S2 E. L" }" D- Qprobability, 概率
, M# K/ [( ^8 J. [, `& kProbability density, 概率密度
: S6 {! p G) T( q7 k7 iProduct moment, 乘积矩/协方差5 j- C$ }2 i$ E. x. H
Profile trace, 截面迹图0 @4 F( N6 L6 [: S3 K0 U
Proportion, 比/构成比- }' W! X/ i7 H$ Y3 R
Proportion allocation in stratified random sampling, 按比例分层随机抽样
: }0 m0 B: K6 x( I3 o( OProportionate, 成比例
o2 i$ J8 r6 WProportionate sub-class numbers, 成比例次级组含量
T) N) |- t6 J( Q( kProspective study, 前瞻性调查7 x4 l5 Q* ^. W; d' i* s# e/ {/ ]
Proximities, 亲近性
9 W4 C6 _8 M7 APseudo F test, 近似F检验; [' ]% T/ C& H
Pseudo model, 近似模型# u. r7 F2 B* s& P
Pseudosigma, 伪标准差
8 H& T/ X0 T- I( D( m7 f3 LPurposive sampling, 有目的抽样
k4 u" e8 r* dQR decomposition, QR分解
7 g5 W! W: z' ]; }) p- n$ Z3 O0 u1 nQuadratic approximation, 二次近似, W [5 X+ R* f' o' }7 {
Qualitative classification, 属性分类0 p! ^8 j$ v R+ @0 ^% E
Qualitative method, 定性方法/ j! a; ?- b. W$ a1 J4 a& R6 z* \
Quantile-quantile plot, 分位数-分位数图/Q-Q图/ s# L& h9 b8 E9 O# j
Quantitative analysis, 定量分析
$ Z1 ^) u o! h5 F4 MQuartile, 四分位数5 m4 s! n& B) Z; i+ H; x+ Y
Quick Cluster, 快速聚类* N5 y* G3 {1 B' }* V
Radix sort, 基数排序
8 I# o6 i2 G( y! s% XRandom allocation, 随机化分组1 H) O1 K) T1 }/ ?3 y0 u5 m
Random blocks design, 随机区组设计8 C* {9 r0 K7 k* P# S2 [: }' U/ ^; @
Random event, 随机事件, a5 f2 O! J- i4 O* u6 F5 Q
Randomization, 随机化
6 e; s5 C4 M6 D! u; @* \' DRange, 极差/全距
' ^* s) e; `( Y0 r+ p0 w; ~" t" Q+ nRank correlation, 等级相关3 |: n A( b9 u {
Rank sum test, 秩和检验
. B& C# H/ q: I+ A NRank test, 秩检验
# T. ^3 |2 S5 J8 S6 M$ MRanked data, 等级资料
- N! m5 V* D$ k2 x5 H9 pRate, 比率
/ E% j4 Y2 ~# p% z# f7 o9 q* P1 hRatio, 比例
! D/ Y) x7 o. F% p' ZRaw data, 原始资料
/ f0 O; N& T. c. C1 N2 H: ?Raw residual, 原始残差
/ t* |& Y- m- x! tRayleigh's test, 雷氏检验1 ^+ O9 P; A6 S' I! Q1 W
Rayleigh's Z, 雷氏Z值 % d' f$ s9 u, i, I$ {/ U. h
Reciprocal, 倒数
T2 ?% [4 ]) R: E. n8 M/ ~Reciprocal transformation, 倒数变换
4 c) S2 P h& h/ w* O5 c8 o1 [Recording, 记录; F: f6 ]$ p3 N7 m
Redescending estimators, 回降估计量; z1 m2 b9 M9 ^3 X0 K1 V% L) s
Reducing dimensions, 降维5 Z3 I" e0 l/ L9 o5 T
Re-expression, 重新表达
" f; p2 h$ I0 ]Reference set, 标准组
0 t+ M( Y0 i% t+ D0 o# aRegion of acceptance, 接受域
- z$ m8 v7 H2 ~$ `) Q, b% eRegression coefficient, 回归系数
" U p/ \+ j4 r4 {* ]Regression sum of square, 回归平方和
# u ?4 K7 w! k/ ^5 bRejection point, 拒绝点/ {# Z; Y, [/ G
Relative dispersion, 相对离散度+ Y$ O I+ N% _- x, h
Relative number, 相对数0 i/ w# P. m- o/ s1 t
Reliability, 可靠性
0 Z4 [: C5 N; BReparametrization, 重新设置参数! L P9 q/ ?( @) O. T4 L1 I' h6 F
Replication, 重复
. R! R8 V& ] }( P c* W& }Report Summaries, 报告摘要0 O3 W% Z. P" F# g) O
Residual sum of square, 剩余平方和$ y, K0 G) Y9 t( N1 U- N! [% r
Resistance, 耐抗性5 I+ V4 l; x6 s
Resistant line, 耐抗线5 y- S. Q6 @0 l4 [ a0 X2 S6 M
Resistant technique, 耐抗技术
& V+ z+ Z' w" x; Q0 G2 J4 jR-estimator of location, 位置R估计量
$ r9 O5 ? w& W1 N% _R-estimator of scale, 尺度R估计量
9 p" K6 R) M( Z1 L4 o: Y+ @$ Z2 |. b; iRetrospective study, 回顾性调查; E0 o; s G1 X+ M* I, Y' k
Ridge trace, 岭迹
# {2 ^. s3 O: `9 K# p( z' ?Ridit analysis, Ridit分析. E; v; C- m, S A% ~
Rotation, 旋转" ]4 V6 S! V: h
Rounding, 舍入
8 a+ k$ C' z# a: N* k; oRow, 行
- b- }- f4 U' K+ Z; @/ V( w! H6 bRow effects, 行效应7 u9 d/ r3 _/ ]; V- z% X: a. d
Row factor, 行因素1 F% h. c8 K# f& o3 T7 m
RXC table, RXC表2 H) B4 N+ U" |& H" l" {6 }( z
Sample, 样本2 u- K4 g, x7 g9 ]* o9 A7 U
Sample regression coefficient, 样本回归系数& C+ I+ Y/ g; H- h
Sample size, 样本量
/ R( Q( {& g# e+ xSample standard deviation, 样本标准差
9 j" [7 w2 z* J+ b. J0 xSampling error, 抽样误差
* j$ |9 ]9 P! Z5 A) v& D! ?" o U' uSAS(Statistical analysis system ), SAS统计软件包' E1 [8 s4 [, ]( B$ {
Scale, 尺度/量表
5 Y9 b* S! X6 J: kScatter diagram, 散点图
6 \ \, A, B4 {% O1 E/ @' x8 U* ^Schematic plot, 示意图/简图
. u: S* h% }5 l+ x3 UScore test, 计分检验
3 N+ d& b: c c! H8 sScreening, 筛检, m7 w* o" {+ R' ~: G4 N4 k
SEASON, 季节分析
( h9 E9 n' E* j, E9 h5 QSecond derivative, 二阶导数/ [- }/ I0 M8 S$ a
Second principal component, 第二主成分0 y" S' W3 K# w; A/ m
SEM (Structural equation modeling), 结构化方程模型
2 E8 c' C2 A0 V/ F9 U8 F6 U9 @Semi-logarithmic graph, 半对数图* r) e! S; }# I6 Y+ g
Semi-logarithmic paper, 半对数格纸# R3 B( J; ?* M% h0 {* P2 v% r! M
Sensitivity curve, 敏感度曲线4 e2 r( w# ~7 a
Sequential analysis, 贯序分析4 a% U3 X" M+ x: u3 s& Y8 o
Sequential data set, 顺序数据集# o- T* C, I& L5 p3 e6 {' |, M' E
Sequential design, 贯序设计
: Q& K& a: W$ V8 }/ ISequential method, 贯序法8 g# V- q; K3 v/ o
Sequential test, 贯序检验法& e( N& l' }1 A$ y3 N
Serial tests, 系列试验
7 L: [1 X. `4 K/ @# q) YShort-cut method, 简捷法 % f' _) c) x3 J3 ~* G, t, l. q
Sigmoid curve, S形曲线
$ _# @' W4 j4 |2 x8 G0 e; Q) lSign function, 正负号函数# E+ Q/ ]/ v3 r6 l: j
Sign test, 符号检验. L+ x6 _$ B4 T
Signed rank, 符号秩
- ?% G7 b, t' h6 @2 |) ?Significance test, 显著性检验
) h+ z8 F* J- LSignificant figure, 有效数字- v% _; |* u/ K+ O! p4 R- }
Simple cluster sampling, 简单整群抽样
: L+ b% z) v9 Z+ j1 jSimple correlation, 简单相关
; l+ n7 i; V% P/ x) E2 iSimple random sampling, 简单随机抽样2 I$ g- Z% W# S2 k& {& y6 M
Simple regression, 简单回归2 g' J+ S* O g G( d
simple table, 简单表* w: B% a3 r8 [* V, Z
Sine estimator, 正弦估计量
* U) z4 y3 D% D9 o2 kSingle-valued estimate, 单值估计
1 [" L4 W. o# }Singular matrix, 奇异矩阵% p' p+ v5 L r ]
Skewed distribution, 偏斜分布2 e5 l" }4 T6 I5 ]
Skewness, 偏度' {0 s3 ^6 j- ]# w7 T- [- l
Slash distribution, 斜线分布$ K6 O: `; c2 P& v# |
Slope, 斜率
4 l+ @6 W' q5 tSmirnov test, 斯米尔诺夫检验$ Y f+ L' b! O+ ]: T
Source of variation, 变异来源2 E* n0 @' W3 F8 H/ c5 j5 E) l, X- v
Spearman rank correlation, 斯皮尔曼等级相关
8 _: _& ^( \; V* V- M0 M2 BSpecific factor, 特殊因子8 N, t0 E2 _" R3 N4 w
Specific factor variance, 特殊因子方差/ f8 q, @2 [3 C( a& }3 Q1 {' g+ p
Spectra , 频谱( U x9 `& _) |4 s6 }
Spherical distribution, 球型正态分布 q8 c) ]8 O$ M! V
Spread, 展布 s6 W. {/ L3 ^% F$ {* r: i
SPSS(Statistical package for the social science), SPSS统计软件包
1 v+ R0 c3 D( e0 w- cSpurious correlation, 假性相关& Z7 s& i8 x( p. K1 K2 w5 V1 u. F4 v
Square root transformation, 平方根变换
, [% p4 E/ A5 p8 BStabilizing variance, 稳定方差
9 v$ v" z' {" [4 UStandard deviation, 标准差2 l. i5 q. _* Y5 b
Standard error, 标准误
3 k7 ^1 \, N6 p$ H1 hStandard error of difference, 差别的标准误- [4 `' F/ T( x- W/ p+ R9 V( F% u+ N
Standard error of estimate, 标准估计误差; Y$ W4 J% _: w3 A
Standard error of rate, 率的标准误
( O6 Q3 _' H8 K8 \! U% V( wStandard normal distribution, 标准正态分布
+ c4 E5 A4 {* a9 z" r" H9 gStandardization, 标准化8 w) X. W5 Q$ c% c+ ~% K7 {8 ]5 B; I& u
Starting value, 起始值
' M/ A. ? F, w6 Y. z! z: HStatistic, 统计量+ h: \4 X' Y$ F y) ^; h
Statistical control, 统计控制
2 Y' K# m7 H- IStatistical graph, 统计图% i! ], M4 c' y. s
Statistical inference, 统计推断
! E0 D6 O; s" l; YStatistical table, 统计表9 F, T3 k& }8 R, G' O& p
Steepest descent, 最速下降法
6 [6 j5 b6 h; @/ w0 A# K. TStem and leaf display, 茎叶图
7 \4 b8 r. `& J4 K. m2 PStep factor, 步长因子. d% _5 v$ P0 \& c1 @: n
Stepwise regression, 逐步回归5 x8 M$ L3 m" y, j J& f
Storage, 存2 x8 f4 \; i0 z% M6 I" _, K& l3 n
Strata, 层(复数)" ~- z4 k! z6 ~* |* g9 s7 V. m9 W4 a
Stratified sampling, 分层抽样2 p( x+ x# Z9 D
Stratified sampling, 分层抽样
9 Y, d) @& _, r' {+ kStrength, 强度' ~$ p+ ~7 l$ a) r
Stringency, 严密性
4 f5 a. e5 X' F$ R# y, \6 iStructural relationship, 结构关系& N/ a) e6 L( [, o, a) P
Studentized residual, 学生化残差/t化残差
. D: e7 n" X$ B fSub-class numbers, 次级组含量% V% v; d) T' B) g8 m, W
Subdividing, 分割- e9 T8 Z7 q- O8 y- X" f2 ?
Sufficient statistic, 充分统计量
8 R; A$ u6 ]+ O* iSum of products, 积和; \9 y$ K5 T& p# ^6 B/ X7 W6 P6 M2 B
Sum of squares, 离差平方和1 q4 c+ }& N6 ^2 ~
Sum of squares about regression, 回归平方和4 P: V5 T6 c: U T$ G
Sum of squares between groups, 组间平方和6 B* q5 k+ d$ c# Y! Q
Sum of squares of partial regression, 偏回归平方和
' G5 S9 z: U# H$ L- L7 rSure event, 必然事件2 k* G- n) M. k
Survey, 调查4 A' C7 y9 @" y1 B0 j8 S
Survival, 生存分析) x- O! }$ Y1 B" G. F! t- x A
Survival rate, 生存率
& A% m% V5 n9 G; MSuspended root gram, 悬吊根图
6 j1 _- k( T4 E% USymmetry, 对称
4 p" ?7 v; l' C2 F7 D+ ?Systematic error, 系统误差
: |$ W3 K+ C9 m6 d5 s1 r( ySystematic sampling, 系统抽样
/ c# r- J; }$ ~0 M; ]2 F7 lTags, 标签' }1 t" U, M6 i; J/ {% J) J3 f
Tail area, 尾部面积 F5 Y4 b2 f8 S
Tail length, 尾长
5 N* F' F7 y7 z3 N, b6 I. XTail weight, 尾重
7 R) ]9 I- [ P8 \Tangent line, 切线
$ A1 H( @9 R2 Q/ [9 t! S# m) nTarget distribution, 目标分布
; F" v0 Z; {. \7 P7 H2 N @Taylor series, 泰勒级数! M6 h- k4 z4 V# M; L
Tendency of dispersion, 离散趋势
0 ]) c8 O$ o; C7 _Testing of hypotheses, 假设检验
- M) @' L3 ]2 h9 b# }! l) LTheoretical frequency, 理论频数5 M, P4 f1 G% x) e5 r2 v7 t2 j
Time series, 时间序列6 _4 D- G: W$ m1 H2 U# v4 Y
Tolerance interval, 容忍区间
/ o- C; o! [ m4 t( A& @; W YTolerance lower limit, 容忍下限% e$ E, I! L& P
Tolerance upper limit, 容忍上限
) K: V% B" ~: L4 d5 V. VTorsion, 扰率
' B2 z( A8 b) I4 \( tTotal sum of square, 总平方和
( v( L, C, A7 w; _# k& lTotal variation, 总变异5 Y; [+ u- p, K* @
Transformation, 转换) I- C7 b1 ?- [% S( M- t
Treatment, 处理4 r) a- O) R* X0 }4 S: z8 R& F# v
Trend, 趋势
T' I% t8 l; z5 D1 |% L) y+ w0 O tTrend of percentage, 百分比趋势
) I$ D0 r* d; |1 {: X+ u' oTrial, 试验# j$ |6 Y9 ?; t# j, Q& q
Trial and error method, 试错法
0 f. O' e+ U2 D& d$ g7 A2 j3 ?Tuning constant, 细调常数
9 w1 Z0 V, \- [; s6 GTwo sided test, 双向检验0 k2 {9 i* S0 ^; I7 {$ _: w d
Two-stage least squares, 二阶最小平方- D( D. f( V p" H) ?) b
Two-stage sampling, 二阶段抽样
. h4 X* @2 q) F, w* Q" t1 LTwo-tailed test, 双侧检验
. G, W `' \$ {, R+ @Two-way analysis of variance, 双因素方差分析' q2 G5 Y+ ^- ^8 m: _
Two-way table, 双向表
# t( l' H. w. M+ U- E) w) zType I error, 一类错误/α错误
" O# g. J! \+ c% N) o0 P+ ]. j9 QType II error, 二类错误/β错误
% w2 D% v1 L# R( _9 m6 n( a( IUMVU, 方差一致最小无偏估计简称
; T1 r& ^% ]8 S C! E' v) L' AUnbiased estimate, 无偏估计' z' |, _/ F1 k1 t
Unconstrained nonlinear regression , 无约束非线性回归
/ R4 k* H: o9 S+ Y7 xUnequal subclass number, 不等次级组含量5 l: Q; ~" C( i1 J% \& k
Ungrouped data, 不分组资料
3 ~! r1 X9 L, R2 k2 |' jUniform coordinate, 均匀坐标
- q9 _# z8 o! j& @7 I2 N tUniform distribution, 均匀分布( P- `$ [' o) C. E/ w$ ]+ A7 T
Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计
# b$ o7 ^+ O/ S$ e( y; C0 NUnit, 单元/ }+ a9 Q# p0 \ ~+ B/ t6 n+ S- y
Unordered categories, 无序分类
7 t d6 `" |! d8 d5 P( z, S4 xUpper limit, 上限( a! M$ T3 z. K7 W
Upward rank, 升秩
2 v' _' z* _! H" W' A8 LVague concept, 模糊概念% u6 H4 w* c2 j1 W% G; j$ j
Validity, 有效性: Y( X: P# Z B0 N+ ^
VARCOMP (Variance component estimation), 方差元素估计) Z6 `8 n# C" x* c5 U0 k
Variability, 变异性
& E1 s4 u- F; [/ w0 wVariable, 变量
7 N: |/ c* j2 J( nVariance, 方差) T z: c) |- e/ z M3 N
Variation, 变异
1 {3 t% p# q! mVarimax orthogonal rotation, 方差最大正交旋转& a+ Q0 u0 [! n( O- j
Volume of distribution, 容积' A$ I0 O5 A" B- k/ ?
W test, W检验
7 t, m3 `. n* \9 i1 a: yWeibull distribution, 威布尔分布7 q3 G2 n5 Y2 }% c6 |9 A6 D
Weight, 权数0 d+ i, Y6 p: Y* Z k
Weighted Chi-square test, 加权卡方检验/Cochran检验
; f! L1 N% L% m3 U: k: i1 t* e; M+ GWeighted linear regression method, 加权直线回归0 o/ i" B. I& F1 Q
Weighted mean, 加权平均数
2 Z7 y3 K1 O0 c: VWeighted mean square, 加权平均方差
. N8 r* E f# d QWeighted sum of square, 加权平方和
8 W, \) f( q# T; |% CWeighting coefficient, 权重系数2 ?: q; e0 [" q1 h% g2 R
Weighting method, 加权法 $ d# ^6 n' H, C' Q4 k" r+ R
W-estimation, W估计量
+ y1 b+ q* X: u( Q' E) q) p' FW-estimation of location, 位置W估计量& p8 z1 Q8 ^" Y: M y5 y
Width, 宽度1 u2 O1 l7 l% W
Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验! p% x# q6 |4 W7 h- m% P) i6 K
Wild point, 野点/狂点8 y. I& \: Y* H6 i+ m" n, |+ a
Wild value, 野值/狂值
1 V2 \" d) Y% O4 GWinsorized mean, 缩尾均值
5 h1 f* h$ B6 x: {Withdraw, 失访
' p1 A: I# ^+ V, XYouden's index, 尤登指数8 p+ U. }. @6 }# \( ~- v
Z test, Z检验% I. r, {5 W. H& A7 e
Zero correlation, 零相关
" g! h0 K1 d7 ~* M' H: c8 OZ-transformation, Z变换 |
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