|
|
Absolute deviation, 绝对离差
6 N. S0 F* @& d( u5 h& a9 n7 pAbsolute number, 绝对数
) x t w7 [* B) ?8 IAbsolute residuals, 绝对残差: m) Q2 r k6 F: C+ r8 m
Acceleration array, 加速度立体阵
% Q1 z/ h4 w. [" H0 t7 ]" A! RAcceleration in an arbitrary direction, 任意方向上的加速度
( m' \# F8 c- qAcceleration normal, 法向加速度4 t. M0 G! X0 Z0 o9 v
Acceleration space dimension, 加速度空间的维数8 v5 j2 Z! ~7 K
Acceleration tangential, 切向加速度. G q' i" g. U/ u" ]7 R% k3 p
Acceleration vector, 加速度向量: @% U* m3 ]+ Q3 f+ t5 x
Acceptable hypothesis, 可接受假设
0 z7 c2 F1 u( c1 ]Accumulation, 累积/ X( ]0 T3 {. @+ L( u: c" f" K0 `
Accuracy, 准确度
* E5 @- b: g9 x: M4 ^, W) q6 J7 NActual frequency, 实际频数
: h/ m9 q+ F- l0 ?4 w& Q9 u7 h1 uAdaptive estimator, 自适应估计量
i% R5 J: |# k! ]' \Addition, 相加8 M; e9 M A! y2 j, t+ l/ ~/ b
Addition theorem, 加法定理
& u5 m6 ^0 S/ e& \/ pAdditivity, 可加性$ t/ h( c% }' ?( ~# Z0 w: m
Adjusted rate, 调整率
1 o: i: J3 l1 X) A) n, _+ e1 [Adjusted value, 校正值/ l/ ~4 e1 r' j+ m
Admissible error, 容许误差
8 Z& ^7 R! `* DAggregation, 聚集性
* O( v6 n4 x; O& }+ GAlternative hypothesis, 备择假设
E* `8 T; r/ w" T) yAmong groups, 组间
, L) ^& Y7 P B5 u9 r3 t* ~ ]7 ?Amounts, 总量
, h9 R2 i6 c$ o7 x" S" K6 ?Analysis of correlation, 相关分析9 G2 A% @+ l; |$ T: e6 G
Analysis of covariance, 协方差分析; Y6 ]' I$ N; y7 w$ |. o! d& k
Analysis of regression, 回归分析
6 ~ p9 l6 R, G" ^+ J& C1 PAnalysis of time series, 时间序列分析3 m( \; Y W- f+ Y' S5 U! f
Analysis of variance, 方差分析
. o9 v. a3 E3 Q) i6 Q HAngular transformation, 角转换
1 E3 t. f( R @- }$ G: @3 i# xANOVA （analysis of variance）, 方差分析
+ U, J. ~, W( N8 y4 H4 R- u3 sANOVA Models, 方差分析模型
, ]* _. s7 C% IArcing, 弧/弧旋
# @2 ^/ D6 R9 I+ wArcsine transformation, 反正弦变换, L( k4 a; @% B7 Q" g$ [- j
Area under the curve, 曲线面积
' s7 D1 M+ `9 a! QAREG , 评估从一个时间点到下一个时间点回归相关时的误差
* u, [0 ?) a, ?ARIMA, 季节和非季节性单变量模型的极大似然估计 3 d. k; o# Y: f/ I8 z2 m
Arithmetic grid paper, 算术格纸
% P4 R8 s5 e* [5 b7 kArithmetic mean, 算术平均数
; C7 I7 H f! ZArrhenius relation, 艾恩尼斯关系7 y+ i0 C8 ]6 A
Assessing fit, 拟合的评估
+ {" U/ ], O7 I$ b" d: \Associative laws, 结合律
2 _6 r4 E/ B0 m+ ]# wAsymmetric distribution, 非对称分布; w: s! j7 ^7 g; C; W1 j7 \5 w
Asymptotic bias, 渐近偏倚
5 g( J& Q# ^5 o$ oAsymptotic efficiency, 渐近效率6 H" `6 F: L" k% d; u
Asymptotic variance, 渐近方差& {& e/ I4 @3 n+ [# I
Attributable risk, 归因危险度
# P6 T+ H4 I+ p. p% r: b8 i1 ~- LAttribute data, 属性资料7 h4 T4 J* _+ R
Attribution, 属性$ g. }1 s) D6 L
Autocorrelation, 自相关6 M1 L. h7 z8 w2 M r3 R7 {
Autocorrelation of residuals, 残差的自相关
2 c5 {- B6 J* Q. y" L6 n; cAverage, 平均数
* |* P# I4 ~ R! d. DAverage confidence interval length, 平均置信区间长度
! P: K, H3 G! @; e6 h: {/ g5 EAverage growth rate, 平均增长率6 C, G2 Q3 V6 g# f$ u# F
Bar chart, 条形图
% |% L+ E1 r: l; G( jBar graph, 条形图3 b/ o6 J) o8 x5 Y. }$ W) v! {
Base period, 基期
2 _$ |5 T' Q: h; {8 NBayes' theorem , Bayes定理8 F% I2 u9 h" @: R- L' W: C5 K1 u
Bell-shaped curve, 钟形曲线
) q* ?& O: N0 M6 G% gBernoulli distribution, 伯努力分布
2 m, i8 \0 X- E7 ABest-trim estimator, 最好切尾估计量
0 @3 M0 w: C! d# k2 @7 RBias, 偏性
6 W) F. O, j+ z% Y2 m# J- z# SBinary logistic regression, 二元逻辑斯蒂回归. j# J- a2 l; O- p }! L
Binomial distribution, 二项分布 W- O. _ z8 b) i% ?( E+ J, _- h1 e, j
Bisquare, 双平方
* E* ]6 @8 X2 v6 ]Bivariate Correlate, 二变量相关7 n) ~% [8 @8 h \/ \: o% z
Bivariate normal distribution, 双变量正态分布
4 v5 x! w, v3 `1 }Bivariate normal population, 双变量正态总体0 x" v; n# x4 _, l; J3 a
Biweight interval, 双权区间4 Q# Y7 Z) D7 d/ w n
Biweight M-estimator, 双权M估计量# T7 D: |8 @! e0 p& G7 @6 K
Block, 区组/配伍组
& L! Y) w, m# l8 h8 x- ^% lBMDP(Biomedical computer programs), BMDP统计软件包
$ x! N p4 _/ W1 E5 Y$ y! D; w, @2 RBoxplots, 箱线图/箱尾图) c' S+ w7 O6 F8 Y
Breakdown bound, 崩溃界/崩溃点1 J$ b ]* h: H5 k
Canonical correlation, 典型相关
+ F' `8 J2 h7 z- | ACaption, 纵标目
& A2 D/ K/ L: Y! u& |Case-control study, 病例对照研究
t. U+ E; m' o; V+ YCategorical variable, 分类变量# |) f. g. `( ^1 Q% ]- w' k# H
Catenary, 悬链线8 M2 O6 T- D; h8 e6 q- O. K
Cauchy distribution, 柯西分布
+ ^! Q: U6 V1 V. g0 B, E7 u# KCause-and-effect relationship, 因果关系6 Q8 P- Q/ o8 Y6 n( A; L+ ^; e
Cell, 单元+ u1 ~, J' j) B7 v
Censoring, 终检: {" I9 e( j, r2 I+ x: P% u3 t
Center of symmetry, 对称中心& ^. I1 s& U) W' q4 V
Centering and scaling, 中心化和定标
/ T; A, u8 V7 E* g4 GCentral tendency, 集中趋势# D% R6 U, p- e9 T* \1 T/ l5 z6 V+ E
Central value, 中心值
! k1 x/ B; r& C" p* a) m3 C: WCHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测
' h+ P( J0 j; |Chance, 机遇0 X3 C6 ?6 B; s5 c3 X0 T, _# A# R
Chance error, 随机误差
, S) U" u+ s1 cChance variable, 随机变量. U8 s8 J; }; |7 t
Characteristic equation, 特征方程( G' G& Q; P# @% K/ H) a! _
Characteristic root, 特征根
2 _4 z5 H/ Q+ `; R" l6 TCharacteristic vector, 特征向量2 L. A, B' T$ {6 \( `
Chebshev criterion of fit, 拟合的切比雪夫准则
9 o6 L' k+ f& L3 U' s3 d. UChernoff faces, 切尔诺夫脸谱图
3 Q! ~4 O! n6 hChi-square test, 卡方检验/χ2检验
0 Q5 P) ]( g! j7 E3 A) t+ gCholeskey decomposition, 乔洛斯基分解
0 a9 q6 e" R6 m% Q$ w! kCircle chart, 圆图
7 [8 d* C0 I7 Y( PClass interval, 组距# z+ F/ V; d0 B3 `0 E
Class mid-value, 组中值. _4 j& H( o4 s
Class upper limit, 组上限
7 M% ^7 V$ o$ f( S1 \ G) i* UClassified variable, 分类变量# v" v% B' I; O! G! a, K3 t& @
Cluster analysis, 聚类分析' |8 s& S/ x: k
Cluster sampling, 整群抽样3 u7 O. Y7 r/ a. t# [0 g' L; m
Code, 代码/ }8 p3 Y& A/ G, F2 [8 ] x8 |
Coded data, 编码数据
: |8 `( z( g# B3 c9 r8 WCoding, 编码
0 }2 Z3 J" \8 ?8 O$ \; j+ g- uCoefficient of contingency, 列联系数
) n6 l2 V w' a" v' VCoefficient of determination, 决定系数
9 B5 n4 l2 J1 D5 VCoefficient of multiple correlation, 多重相关系数6 G- M! z- Q5 k$ X4 u+ W8 T: J$ e" j
Coefficient of partial correlation, 偏相关系数6 h! X1 t. C; l, g
Coefficient of production-moment correlation, 积差相关系数3 i; m" \# Q' R* d2 `
Coefficient of rank correlation, 等级相关系数
7 w; s$ w' |4 r4 z' w" v; FCoefficient of regression, 回归系数9 B) o' d) S1 _! y
Coefficient of skewness, 偏度系数
( z$ [6 K* I4 }) j' k% X) TCoefficient of variation, 变异系数
\. v: | j- d$ W: V* n RCohort study, 队列研究
) P( ]4 p* J* w5 GColumn, 列& Z) ~. v; r' B J* V, Y3 g
Column effect, 列效应
) h! u# X0 a9 }$ t2 |2 GColumn factor, 列因素3 x7 @- w% | c5 U, B
Combination pool, 合并
$ |' U/ S! R0 f4 D* b* I: v8 HCombinative table, 组合表# f9 w6 F4 |& `: y' n
Common factor, 共性因子
- d6 v( L, z. {0 x) MCommon regression coefficient, 公共回归系数
6 h$ j! u4 M/ H% Z& _3 YCommon value, 共同值
4 ?: y1 x6 `. @# ~" a& f; S! TCommon variance, 公共方差; @: p+ Q& S1 K4 t2 r0 y. E9 T
Common variation, 公共变异) z4 o3 j0 b: N0 Z, c7 ]2 I% _
Communality variance, 共性方差. n6 y- ^( A y; m7 Z2 e7 o
Comparability, 可比性* w2 |* m" q# q2 R
Comparison of bathes, 批比较! J( ~8 V& X: j% ^5 g+ ^) J
Comparison value, 比较值
8 A6 q# t5 @3 M. E6 N- _- D4 t! pCompartment model, 分部模型
/ W" B+ G! u8 k9 W1 J o( u- TCompassion, 伸缩3 ~' i# n* ]5 Y- {; t
Complement of an event, 补事件
4 ~3 H* J& r) U. t E$ \Complete association, 完全正相关9 c0 C8 G) _: B% d) s7 g" F
Complete dissociation, 完全不相关
/ j9 u2 V; b( e$ n+ QComplete statistics, 完备统计量
# y* I6 l9 P9 i. W- \Completely randomized design, 完全随机化设计. l8 S+ W" ]5 \ P, |; x. H
Composite event, 联合事件" i* `1 b# p& T" V0 ]1 U
Composite events, 复合事件
* d1 M% D: [3 {$ w. j. _2 K6 nConcavity, 凹性6 z: M3 F, G9 B" S. \$ X7 o0 c2 m
Conditional expectation, 条件期望
5 i3 S5 v d% d) S# N. B. e7 TConditional likelihood, 条件似然
4 b0 o, M- t6 H$ zConditional probability, 条件概率
8 \ q! P% ~- I% @Conditionally linear, 依条件线性! Y5 V7 {6 |6 Z9 `$ A
Confidence interval, 置信区间
. p/ Q* D- V- H: Z" F+ a6 q! RConfidence limit, 置信限2 J! d6 ]+ `% T8 m6 T+ K
Confidence lower limit, 置信下限' x8 C4 T d- |% B
Confidence upper limit, 置信上限+ U+ K3 x3 B, R" f
Confirmatory Factor Analysis , 验证性因子分析
4 w- P- x0 R6 h3 uConfirmatory research, 证实性实验研究9 B+ a: W: k% L3 q& A
Confounding factor, 混杂因素: ? N: D, d$ ]5 ^/ |, J
Conjoint, 联合分析
9 n, m4 [ X6 `$ r& L0 i k6 `Consistency, 相合性( ^! I" J6 d" |. k9 Y8 \1 n
Consistency check, 一致性检验8 g* M% T5 h! u( `
Consistent asymptotically normal estimate, 相合渐近正态估计4 m4 _& ^4 {# \5 e- d2 ^
Consistent estimate, 相合估计+ Q2 \" |& |, ?' l& {* H/ P
Constrained nonlinear regression, 受约束非线性回归, W: j# q" I9 B
Constraint, 约束
9 c* y% w: ^$ l: N. n8 vContaminated distribution, 污染分布
2 [' {( Z/ L/ U1 h8 U. P( jContaminated Gausssian, 污染高斯分布7 V9 K A& k( m0 G$ V
Contaminated normal distribution, 污染正态分布& i! [6 m8 |. b4 ] c" ?2 ?, e0 ?
Contamination, 污染
% i( ?* A; _, P* G6 [) o. H6 E; Q& aContamination model, 污染模型
0 T" z3 U: H: F6 w7 zContingency table, 列联表, [0 |- K# ^$ t) Z& m! z5 I p
Contour, 边界线
1 O6 S4 n& t1 h& _6 |Contribution rate, 贡献率& A/ B' `- D& X7 v8 k* X, E3 g
Control, 对照
, e: f8 w$ ?, a) d# P+ KControlled experiments, 对照实验3 Q2 _2 G6 G) M8 s* C! c
Conventional depth, 常规深度, n4 @. O# _# }' h" A9 v
Convolution, 卷积6 J1 D2 ?5 z( _) U% \
Corrected factor, 校正因子
8 q/ E9 g3 B. p9 T+ BCorrected mean, 校正均值
1 a; e4 |! P/ y0 ?' |, w, H$ VCorrection coefficient, 校正系数
6 i# `0 e4 {, M: {Correctness, 正确性. \+ ^6 y. V6 Z0 j
Correlation coefficient, 相关系数
+ T# }7 g; P& U; z# xCorrelation index, 相关指数
+ o; C2 i' ~$ j5 o! @$ {$ i( k8 l5 v3 jCorrespondence, 对应 ]; b# ?4 g* f& v8 D
Counting, 计数- H+ `" j7 M4 p3 n/ Y. R
Counts, 计数/频数1 w% S& F3 q6 k' Z9 X
Covariance, 协方差7 V5 l+ x( E1 ~5 x0 r7 `4 M
Covariant, 共变 , G6 ?4 M9 u7 P. c
Cox Regression, Cox回归
. Z; M$ t% g& S- k" ^! KCriteria for fitting, 拟合准则0 r! |" E' H2 {8 O) S0 x
Criteria of least squares, 最小二乘准则
1 T0 I& ~: v, NCritical ratio, 临界比* s1 H3 @0 _3 _6 i2 t0 f
Critical region, 拒绝域* r6 B% |0 v3 U6 S( ?4 l* A( k
Critical value, 临界值
; ?# {1 R4 x6 u& q @& ICross-over design, 交叉设计
$ C6 m. e( ~( }! c M6 C$ {: o3 kCross-section analysis, 横断面分析$ V* z8 S( y+ U8 ?: n
Cross-section survey, 横断面调查/ v+ H/ B! p& A+ z& j) ~* }
Crosstabs , 交叉表
* e, B% x p; o8 @; G7 e" jCross-tabulation table, 复合表" Y V# I" I. _
Cube root, 立方根) P/ a! t' @) V7 V6 q" M- W. B
Cumulative distribution function, 分布函数
8 s3 K2 ~7 C' ^9 @" `: u4 HCumulative probability, 累计概率' `' \7 E- A; B/ L
Curvature, 曲率/弯曲
& \) {, Q6 X6 K) \$ M5 Y2 R4 YCurvature, 曲率3 X0 S+ O F h8 R. _+ U
Curve fit , 曲线拟和
( G- x/ l6 A) ~ H" V; JCurve fitting, 曲线拟合
# v2 a7 w% m. NCurvilinear regression, 曲线回归
/ U- D+ e3 M$ D; `$ J& }Curvilinear relation, 曲线关系# i3 V7 c5 P- b" a# V6 i. z
Cut-and-try method, 尝试法
+ _$ g2 v9 T1 YCycle, 周期
$ a" p; ]% E- E# S3 O# h0 X5 gCyclist, 周期性
) T, \) `! j g9 W, ID test, D检验
2 G; W' L4 t n4 f2 B M5 TData acquisition, 资料收集
- J3 e7 n+ F6 {& qData bank, 数据库' h# c6 t& {5 f1 g
Data capacity, 数据容量. y# b- f( e6 g5 ^9 M/ k, H
Data deficiencies, 数据缺乏
; E5 a& A( f! p# ]% e8 QData handling, 数据处理
7 O6 Q6 y: r/ s' }" r& R8 Z- EData manipulation, 数据处理
' D) C1 v, n9 O! n9 JData processing, 数据处理
: X6 |4 V/ {& n- b3 z. n, u n; h/ lData reduction, 数据缩减; i, m, j3 ^; @* F, m
Data set, 数据集) p' ?* b8 j% \& c B
Data sources, 数据来源
. N' p5 t# F3 j3 A% u3 ]Data transformation, 数据变换0 |) T5 h' d @+ m8 O% ?' D# t
Data validity, 数据有效性( [0 G! S( E* _
Data-in, 数据输入# Y1 s: k- Z1 d* w6 H
Data-out, 数据输出
7 |& | o5 K; x. ~2 kDead time, 停滞期/ W( y% v; X5 s3 Q/ N H
Degree of freedom, 自由度5 b7 n7 Y2 ]7 [& X# |# k
Degree of precision, 精密度
1 W: x: b- j' {, H9 UDegree of reliability, 可靠性程度
+ b- }" S& W7 G1 Z( V8 k1 j6 |0 tDegression, 递减
+ Y" x1 a" b( y5 }+ r7 w( o" q7 XDensity function, 密度函数
( l; U5 w% Q A0 PDensity of data points, 数据点的密度/ }) c3 A6 y, x
Dependent variable, 应变量/依变量/因变量
# a5 A2 f& u8 b# P! ?3 G- U0 SDependent variable, 因变量* M2 x/ \* }& I. r: o. I
Depth, 深度
" S6 h3 @+ r/ _& L6 f$ ?" \/ o* N$ UDerivative matrix, 导数矩阵
* T8 p4 X+ T) [, C& n& HDerivative-free methods, 无导数方法+ Y3 R4 V- ^/ N+ ?5 @
Design, 设计
- q3 E! E6 l; D: ADeterminacy, 确定性 ?8 o" U) `) G6 |
Determinant, 行列式: ~- y( D/ x! v0 e
Determinant, 决定因素5 M. D& A; b4 S" @, t2 B
Deviation, 离差 `$ Q6 N q0 }
Deviation from average, 离均差* J( w. J( e! ^
Diagnostic plot, 诊断图6 t( Y- D0 r4 U
Dichotomous variable, 二分变量
( {6 n( m5 U# l5 sDifferential equation, 微分方程8 N1 A+ `* i# q' c9 P# `
Direct standardization, 直接标准化法5 W' K: D" B2 e5 T# V
Discrete variable, 离散型变量" u7 Q: M: w2 G" A
DISCRIMINANT, 判断 3 [5 B, I& T, @! x" d Y5 u5 [
Discriminant analysis, 判别分析% i$ O' ^+ T `. E7 j# |" C
Discriminant coefficient, 判别系数
+ ?3 I/ B/ h. w+ T( qDiscriminant function, 判别值
. g' f4 e! F$ l( |6 t# ^' D$ pDispersion, 散布/分散度
$ T! o2 |1 k9 D6 qDisproportional, 不成比例的
( q9 c6 o6 g& [: {, PDisproportionate sub-class numbers, 不成比例次级组含量8 Z+ u+ y! B/ a% ]# Y0 U7 O
Distribution free, 分布无关性/免分布6 V0 `5 Y( J c5 m4 I" g
Distribution shape, 分布形状& @2 }& n' I1 g* `: }0 y8 Q
Distribution-free method, 任意分布法
: R& }1 d9 m7 SDistributive laws, 分配律4 U& h S4 j* ?" c7 Z" @2 W8 A$ l
Disturbance, 随机扰动项
0 @7 T4 G2 W. X8 S, n! }) `Dose response curve, 剂量反应曲线( p" a1 i' ~+ x# X D5 h
Double blind method, 双盲法
6 Y% A* R( e; U& yDouble blind trial, 双盲试验
$ Y, B; R; Z! {: hDouble exponential distribution, 双指数分布
& d" U8 ~. a* n7 R2 XDouble logarithmic, 双对数$ Q( W. P0 Z( h, q- }
Downward rank, 降秩
! k5 p5 W5 D5 A, C5 E7 l2 qDual-space plot, 对偶空间图
6 y: E4 j/ P9 {1 {DUD, 无导数方法
7 f" v- V. X& sDuncan's new multiple range method, 新复极差法/Duncan新法0 B7 ^8 n5 _0 s4 A! b) F) J
Effect, 实验效应3 u" k1 }; J" K$ Y2 F
Eigenvalue, 特征值, H7 r p8 F5 G! U H
Eigenvector, 特征向量0 B3 ?! X( B3 g$ c( ~! o" y
Ellipse, 椭圆) O6 c5 l! a- c
Empirical distribution, 经验分布) k* S+ H, N1 H8 ^4 k( m, N2 s5 |$ q
Empirical probability, 经验概率单位% P k" f. s' L4 F
Enumeration data, 计数资料
$ ~5 `' a# l" lEqual sun-class number, 相等次级组含量
8 r0 T( f( L! b4 VEqually likely, 等可能+ f% p* r# J! z+ B3 X
Equivariance, 同变性
8 H7 P: O# t7 U1 UError, 误差/错误
* Q( P% [* N3 ]% G5 X$ d3 hError of estimate, 估计误差
}" x2 x! k$ H7 b- @1 V% i2 nError type I, 第一类错误
% \0 g* N1 D3 {' e/ X% u j& QError type II, 第二类错误2 u3 k. C% Q7 |
Estimand, 被估量( s V5 \" E; F' Y0 G
Estimated error mean squares, 估计误差均方
0 o1 N6 y4 g5 }: LEstimated error sum of squares, 估计误差平方和3 U* R# @* v8 j( z( U$ T( N9 A: T
Euclidean distance, 欧式距离$ _/ Q. l1 H4 D' \+ y6 f
Event, 事件5 ~* J- M4 q- F; |1 I
Event, 事件
* y+ R0 J1 l% t3 eExceptional data point, 异常数据点
# B9 R& D0 h+ K: [7 `Expectation plane, 期望平面: I8 e6 r b: `3 i: e! H
Expectation surface, 期望曲面
" n( m% P, }! f/ GExpected values, 期望值
; W5 S, l- J; Y# ^) ~/ J+ G6 JExperiment, 实验7 b2 E: D" E6 m, M4 b
Experimental sampling, 试验抽样1 Y- d- R+ F4 T8 L. U) c; Q
Experimental unit, 试验单位
$ ]6 r P1 L( o4 L& |Explanatory variable, 说明变量6 Y) {2 C& h: D3 y: @
Exploratory data analysis, 探索性数据分析) B2 l' @) `1 y* {- B' ~, y
Explore Summarize, 探索-摘要- |& Z) c; _- n$ t8 B. h
Exponential curve, 指数曲线% C7 Z$ ?4 J% @8 H" v
Exponential growth, 指数式增长
( E4 K- G6 H; cEXSMOOTH, 指数平滑方法
. u& f* D9 Z; k8 YExtended fit, 扩充拟合$ Y' I" I0 s# r, k# X
Extra parameter, 附加参数
* ^9 M7 A$ J3 i3 j/ c/ sExtrapolation, 外推法
+ [* R/ \, \# I+ vExtreme observation, 末端观测值. s9 U) E. Y/ r
Extremes, 极端值/极值& E: t, r3 Y9 }4 K! Q
F distribution, F分布
& n+ s7 z% l7 S7 g8 U- jF test, F检验
2 x8 W) G9 W/ ^7 xFactor, 因素/因子
! Y& p/ y+ @6 N# xFactor analysis, 因子分析
9 e9 W5 D; C6 W9 n. nFactor Analysis, 因子分析/ _8 K8 X0 q3 D4 I
Factor score, 因子得分 ) F3 Q9 L6 `5 `
Factorial, 阶乘
! N3 H$ o4 ]$ k8 a1 EFactorial design, 析因试验设计5 _. \; w# Z* ~2 Z. u- ^
False negative, 假阴性) E7 a4 [8 F! z* w( N$ H! \
False negative error, 假阴性错误
; I l0 m* b, {$ Y0 I! ^+ _- DFamily of distributions, 分布族; w- b" c; u) I/ j
Family of estimators, 估计量族0 B0 L/ E# \" r
Fanning, 扇面- j; F% R h7 ]/ ?$ i
Fatality rate, 病死率
6 z( B/ K U2 T& ^Field investigation, 现场调查7 I! [' o6 I+ A! y
Field survey, 现场调查
, w' t+ f* { D+ a, [% WFinite population, 有限总体
6 _. b% C$ G7 @Finite-sample, 有限样本
4 q$ q) u& x w# o0 v, c2 p; F* p, BFirst derivative, 一阶导数
0 B5 c p% r0 T& D# _2 @First principal component, 第一主成分* w }! x# f, q
First quartile, 第一四分位数8 ^* T4 V. `4 F$ W/ K/ K
Fisher information, 费雪信息量; P9 s4 Y5 j5 r! @2 c8 U
Fitted value, 拟合值; g6 z+ I7 v1 U1 v
Fitting a curve, 曲线拟合5 l% f$ z! ?5 U- T! w9 ?5 q* k
Fixed base, 定基3 H7 {6 m; N4 X' Y K2 s
Fluctuation, 随机起伏
" k# t! u9 a) K. g0 k* ?Forecast, 预测
+ x0 o( p1 v2 QFour fold table, 四格表
9 O) V4 D, ]" K" ]# SFourth, 四分点1 v/ V$ b" u9 ]2 s0 n$ h1 q
Fraction blow, 左侧比率9 H) A/ Q n) x
Fractional error, 相对误差* c# f" d: S( j+ _% o( ^9 \
Frequency, 频率# a% _. ?) D; ?/ y; |$ U
Frequency polygon, 频数多边图& x; w+ w2 s8 ~, a' ^* R
Frontier point, 界限点' ^: w9 o! C) D1 n- d3 i2 w
Function relationship, 泛函关系
; J& N1 m) T" k4 j/ hGamma distribution, 伽玛分布
4 \0 f4 F* {0 I2 R" k7 g8 g. F) F$ b9 @Gauss increment, 高斯增量
# G! y7 {( t) v6 [! d* |' M3 Q: V4 T# j3 wGaussian distribution, 高斯分布/正态分布0 E* g5 y" u# A" ~& \& K+ a
Gauss-Newton increment, 高斯-牛顿增量
; ~" y' o4 }6 @/ v: rGeneral census, 全面普查
& n" J7 y0 c, ?GENLOG (Generalized liner models), 广义线性模型 # b% h1 n) n a% v" E' j
Geometric mean, 几何平均数
+ ? u/ s: w) ^. e- Q8 o: g, TGini's mean difference, 基尼均差
T1 D% v* V8 K$ W9 @1 G" L+ |$ {GLM (General liner models), 一般线性模型
3 G4 l# r4 f9 |' v! N4 BGoodness of fit, 拟和优度/配合度
( F' g; @- N6 u" J9 vGradient of determinant, 行列式的梯度
8 E' |2 A7 h5 r' \/ vGraeco-Latin square, 希腊拉丁方0 o( W% l: N2 {; R6 K z
Grand mean, 总均值
9 d# s/ B$ D3 _# C% mGross errors, 重大错误: }5 ~4 @/ U; _
Gross-error sensitivity, 大错敏感度
4 j1 O* O- @" H) m5 j- m/ l; AGroup averages, 分组平均2 ~$ I5 I$ I; _. y& A
Grouped data, 分组资料
8 P# H# H* X$ v: z& @2 i3 RGuessed mean, 假定平均数
6 u) f; y: y$ T( Y7 b7 XHalf-life, 半衰期' q: n4 a9 t' z% S9 E3 |8 f8 k1 A
Hampel M-estimators, 汉佩尔M估计量. j% K7 V1 [1 g1 z: P
Happenstance, 偶然事件; U$ l+ f/ x+ o' K/ D I* l+ N2 L
Harmonic mean, 调和均数1 x4 Q/ {( F- F8 R2 _# ^/ \
Hazard function, 风险均数
3 E6 q# N r# P, UHazard rate, 风险率
" h1 w# {- x- @, B' J# _Heading, 标目 ( r& j$ ^$ C/ D
Heavy-tailed distribution, 重尾分布
" E" j9 h- n( @* V# iHessian array, 海森立体阵
. ~+ q3 O! v, PHeterogeneity, 不同质$ R' a: [* M' }' v2 \0 g0 G
Heterogeneity of variance, 方差不齐 0 N: W5 H8 a" ~5 K# X0 A3 Y! J& P
Hierarchical classification, 组内分组$ |6 s, \/ K5 ~" E7 H
Hierarchical clustering method, 系统聚类法
6 X: ?+ r7 B3 m4 T, MHigh-leverage point, 高杠杆率点
% ^" h3 Z5 Y/ L. j2 Q% ]5 d- OHILOGLINEAR, 多维列联表的层次对数线性模型! S2 A% C/ l) }! j& q- m
Hinge, 折叶点
$ U! U5 O7 r) U1 j! gHistogram, 直方图
6 M- \7 O& ~$ M& v9 C5 j4 ]Historical cohort study, 历史性队列研究 # D) g2 T v( M; r9 G$ L8 }
Holes, 空洞
3 h, c; [% F2 `* A" K9 U2 zHOMALS, 多重响应分析
4 O! [5 \$ _% W4 P* W! b9 W* sHomogeneity of variance, 方差齐性
6 S m8 M# w, s! `Homogeneity test, 齐性检验7 c0 o' O3 c. C% t% [
Huber M-estimators, 休伯M估计量) D# f7 d8 G& G
Hyperbola, 双曲线6 j- I& x: M, q/ o: }' ]4 {
Hypothesis testing, 假设检验- S+ U6 l1 E" T' R" W+ Z
Hypothetical universe, 假设总体
" p9 t7 D( C4 Q0 r' t6 r( o$ {Impossible event, 不可能事件
0 r2 X% B3 `5 O& d, m: UIndependence, 独立性. S# w, }* A1 D) ?
Independent variable, 自变量: H* I' M; o0 d9 Q. K, G, u1 n
Index, 指标/指数/ {" M. l( K; I X
Indirect standardization, 间接标准化法6 B9 O: S$ D3 a5 h1 i* B% C1 t( _
Individual, 个体& r5 @$ Z8 ]3 b# {# j X0 }( x
Inference band, 推断带
& u0 m9 Y& }# Y7 O f1 X. rInfinite population, 无限总体
, S F& N. e! `) E. N2 sInfinitely great, 无穷大% j$ [) v2 ^$ E: k5 y! |& J
Infinitely small, 无穷小3 r- U$ V" C: |% F# ]6 c$ v" x
Influence curve, 影响曲线
3 R$ p9 v$ w' J1 K. CInformation capacity, 信息容量8 l, J. u/ [/ f
Initial condition, 初始条件" t* L" Q$ [* E- i# x
Initial estimate, 初始估计值+ Z- L+ s. n* x; Z
Initial level, 最初水平5 B- m0 ^8 Z, C3 D. ^
Interaction, 交互作用* O3 D& W% [0 Y! O/ Z
Interaction terms, 交互作用项' u% {7 X( ~, }/ K8 Y1 U
Intercept, 截距
; V+ r" j8 G/ E; j$ qInterpolation, 内插法
$ c7 V9 ?# H# S6 fInterquartile range, 四分位距
8 g0 I: k7 R9 ]" K3 L# w& QInterval estimation, 区间估计
; j; K' T& P. [9 zIntervals of equal probability, 等概率区间
) `$ c4 N7 q) \ _& a4 U' hIntrinsic curvature, 固有曲率
' N0 ~5 S; X. ~) z* pInvariance, 不变性0 m3 a+ X7 E) U) d* i
Inverse matrix, 逆矩阵" U' l( Q$ p. w! Z: F4 L
Inverse probability, 逆概率
) y1 Y5 ^7 f0 sInverse sine transformation, 反正弦变换
% D! [! S/ H4 B! s: V! p9 Y, [4 [Iteration, 迭代 % S$ U( u( k7 L) D
Jacobian determinant, 雅可比行列式
; [; P5 H, T8 t2 ~2 w8 V% ]Joint distribution function, 分布函数
/ g- ?9 f- Y( _3 `# D4 X( j3 eJoint probability, 联合概率
0 C/ D& J& K2 r1 l KJoint probability distribution, 联合概率分布# i2 n* n" O; ^0 q: q
K means method, 逐步聚类法
7 \; Y$ f! o( n: p+ `Kaplan-Meier, 评估事件的时间长度
/ b" S( |0 g/ J: I* v8 \% IKaplan-Merier chart, Kaplan-Merier图4 i& I' F& C8 {$ N2 N1 N! T
Kendall's rank correlation, Kendall等级相关$ s' d& _* U' K3 z
Kinetic, 动力学5 h$ K2 u6 @0 L/ d
Kolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验& ~1 V$ o4 o8 U7 S( m5 s
Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验
4 }7 X+ M2 I- WKurtosis, 峰度
+ `% c) r: @. G% _+ ^' JLack of fit, 失拟# H/ e1 v5 ^# ^
Ladder of powers, 幂阶梯% J8 E% N5 b& ]7 s. W! b E/ I# M
Lag, 滞后" R! M4 x- N& k( y( V
Large sample, 大样本: u9 K( ^8 H+ \: `; \( o+ B
Large sample test, 大样本检验3 }# o) n& R9 }
Latin square, 拉丁方1 h0 l$ Z& Z0 I( P* }+ ]4 T
Latin square design, 拉丁方设计9 y) Y. q- _7 `: _6 J
Leakage, 泄漏
9 t7 O& a; l+ p& P8 C6 i; {Least favorable configuration, 最不利构形, ~5 z. `3 D* H
Least favorable distribution, 最不利分布' c7 c7 y- L9 Y9 l P
Least significant difference, 最小显著差法
$ Y2 G3 x" Y% a- {. {Least square method, 最小二乘法4 Z% l( X9 O0 E: h% z6 f0 x
Least-absolute-residuals estimates, 最小绝对残差估计2 L# j$ g& b3 O1 ^: Z# F4 ?9 f
Least-absolute-residuals fit, 最小绝对残差拟合
$ ~2 A: q+ v9 c- d1 K; p+ oLeast-absolute-residuals line, 最小绝对残差线
: g4 V' y% N" A& K. x, nLegend, 图例
" W8 h8 w3 T. C1 |2 oL-estimator, L估计量
0 D5 {1 f( y9 w1 f/ k" _0 yL-estimator of location, 位置L估计量
' g6 s& y/ S1 Z F" E: cL-estimator of scale, 尺度L估计量
7 I+ y: I4 {* R/ iLevel, 水平
8 e; p+ @" y& T; B- Z7 L: gLife expectance, 预期期望寿命2 j# Z+ M4 n# z0 ~# s: Q- X
Life table, 寿命表7 B9 L9 S' ?6 U( k/ E% F
Life table method, 生命表法- G) t/ h- {0 a7 p" ~# A
Light-tailed distribution, 轻尾分布( ~6 k- q0 d6 y! \, |
Likelihood function, 似然函数 x2 F9 J8 U- `& u) s2 O
Likelihood ratio, 似然比8 r: y% ^7 v. E
line graph, 线图' q' }6 j- p' Z, ^' W
Linear correlation, 直线相关
& y/ Z/ U4 w0 KLinear equation, 线性方程
! {# d+ a: ]! _/ w, ]Linear programming, 线性规划
1 ?+ R" _- z$ z9 x1 z0 ELinear regression, 直线回归
2 h: p, ]0 P7 g! c" q2 g8 cLinear Regression, 线性回归* t+ G2 \. T6 J% Z5 z& h! t+ ^
Linear trend, 线性趋势
6 q, a* Z! g6 T ^% nLoading, 载荷
1 x* C4 g( @3 F' r$ ~8 ]) CLocation and scale equivariance, 位置尺度同变性% W/ U9 Y. O$ b( N
Location equivariance, 位置同变性+ I7 x- ~) z3 [0 z
Location invariance, 位置不变性
* a! E x- H1 X! |& c3 Z( KLocation scale family, 位置尺度族1 H- j1 s1 A' V, n( Y- i2 p
Log rank test, 时序检验
0 s* W+ S& L: S& ^Logarithmic curve, 对数曲线' {- C& K) y) V4 Y! {0 [7 c' x6 y
Logarithmic normal distribution, 对数正态分布
# T2 y3 b- d; j! d8 {% vLogarithmic scale, 对数尺度
% ~2 u' [) a7 W2 DLogarithmic transformation, 对数变换 S3 ?2 g5 ~: {$ ~% z& @* t' F
Logic check, 逻辑检查# C9 ?# [! [3 D4 |
Logistic distribution, 逻辑斯特分布
# m- r! K0 H# _. k8 H; D z& yLogit transformation, Logit转换. e- n k- P- M( G# S3 ^
LOGLINEAR, 多维列联表通用模型 1 z) R) k6 e& C1 z; I: w$ L
Lognormal distribution, 对数正态分布6 T1 R8 R) G; _$ g) Y$ S
Lost function, 损失函数
5 e9 ^, y( U! hLow correlation, 低度相关. P' D! P6 t% O$ N: r- p& S
Lower limit, 下限2 Q* ?0 N* ?' d# z; g, \6 q
Lowest-attained variance, 最小可达方差
) S! s; G' _5 d2 I+ u! sLSD, 最小显著差法的简称, U4 y8 m' L5 _$ j2 v6 p# v8 N+ p
Lurking variable, 潜在变量, |- g! A: Q' I' K [) P* l% f
Main effect, 主效应5 ^" R& N- S6 u2 {+ s+ c
Major heading, 主辞标目
1 m$ r+ ?9 [8 K: R9 O2 I4 e3 E( {Marginal density function, 边缘密度函数6 t, Z. i. h4 s, d
Marginal probability, 边缘概率
3 L% J" k% m4 l; ]3 rMarginal probability distribution, 边缘概率分布. J& \% G) W W4 _' W
Matched data, 配对资料1 f9 j) w& Y3 d! J: X( N( D* e9 ?
Matched distribution, 匹配过分布
* b+ i1 h4 ?" k8 mMatching of distribution, 分布的匹配# P* s0 Z! L- y7 p5 B
Matching of transformation, 变换的匹配3 k; n+ g, \) l1 r& g; e' {
Mathematical expectation, 数学期望# Y; O5 C+ I8 C( B. F' _& W
Mathematical model, 数学模型
; h: c2 {, C& Q, g7 jMaximum L-estimator, 极大极小L 估计量
& u8 j# Y! u2 e. G7 \Maximum likelihood method, 最大似然法
/ H5 I, d' Q& L" X' \: {Mean, 均数2 F3 [& A# I8 A, u% i
Mean squares between groups, 组间均方
8 G2 I% f9 |6 BMean squares within group, 组内均方
( C) X# x7 D) z' N1 Z8 |+ cMeans (Compare means), 均值-均值比较
( @& Q1 v; a$ Y2 t1 mMedian, 中位数9 N: o; \* T+ y u# ]: R4 p
Median effective dose, 半数效量
/ M# d) j: `3 t# CMedian lethal dose, 半数致死量
" r8 ^/ F( O, V. BMedian polish, 中位数平滑
" i& I; r! ^/ i. q, ?1 R4 cMedian test, 中位数检验5 C* V& o& q; f6 Q" d; B
Minimal sufficient statistic, 最小充分统计量: b6 \+ o5 @. n) Z# w8 n
Minimum distance estimation, 最小距离估计
5 m8 s1 u- r; |; vMinimum effective dose, 最小有效量) o5 C' e- w' Y: s
Minimum lethal dose, 最小致死量
- {! o; {1 K5 Z, h3 [7 i/ qMinimum variance estimator, 最小方差估计量
# k: c6 Y2 `( WMINITAB, 统计软件包$ W1 E7 ]" `7 i9 c/ Z
Minor heading, 宾词标目6 l$ Q4 p! r; I; @* Y% _) [5 n
Missing data, 缺失值0 p+ B0 D1 e* W
Model specification, 模型的确定
6 X) U; t! J2 w) P: ^' H8 HModeling Statistics , 模型统计1 g" k2 q; s3 ]# I
Models for outliers, 离群值模型
, Q4 d9 d, l& [( ?" yModifying the model, 模型的修正' M3 X) \$ Q1 b# u$ o& v: R
Modulus of continuity, 连续性模
+ j: C. b2 e8 V0 Q3 P) _Morbidity, 发病率
7 |9 ]' C& v% ^" A" mMost favorable configuration, 最有利构形# |& F1 m% s! |6 f/ {
Multidimensional Scaling (ASCAL), 多维尺度/多维标度
7 {0 x2 w9 V% L# e- LMultinomial Logistic Regression , 多项逻辑斯蒂回归3 O5 M- B3 Z+ [9 Q/ x l; f
Multiple comparison, 多重比较
5 A# j. X0 Q4 n+ Q% ZMultiple correlation , 复相关' X4 S# u$ }( k7 D
Multiple covariance, 多元协方差 [' h# l+ D8 u; v; A/ q: D2 D! L
Multiple linear regression, 多元线性回归
0 s/ I* {- J# ~Multiple response , 多重选项
3 h& s- T# n9 O- ?Multiple solutions, 多解5 C0 [: G8 ^9 ~1 G1 Z l
Multiplication theorem, 乘法定理( R% [' j- y! p* B; ?: N
Multiresponse, 多元响应' p1 U: w4 z; K7 G9 ]
Multi-stage sampling, 多阶段抽样5 K R; G& S7 u6 k
Multivariate T distribution, 多元T分布/ Y! S1 h/ Q1 @6 x) Q) x J5 M$ e, y
Mutual exclusive, 互不相容
' q1 \! o5 q$ }1 e6 N5 ]Mutual independence, 互相独立& _1 a4 W0 n7 C' x8 \8 Q2 r
Natural boundary, 自然边界+ s8 \0 A) Y9 {' n
Natural dead, 自然死亡
2 C+ e/ b4 \4 e7 D; LNatural zero, 自然零3 {$ J4 ]! ~% h# O
Negative correlation, 负相关* n$ a& w$ ]% f5 v( n3 ^ E, f
Negative linear correlation, 负线性相关: {2 R1 `7 X, O$ z" o
Negatively skewed, 负偏! f; t, Z/ u2 V. R
Newman-Keuls method, q检验" V8 R- O5 g3 o! @
NK method, q检验% @2 g6 \0 j5 z* X6 G- _/ e P
No statistical significance, 无统计意义: y& I# o9 F( M4 P1 d+ { q7 m! L
Nominal variable, 名义变量7 X; B. x" u- ?! O0 O: S
Nonconstancy of variability, 变异的非定常性& T+ z0 d- @/ z: U' q) m' S( M
Nonlinear regression, 非线性相关
( q; z; g, U: kNonparametric statistics, 非参数统计' H4 G g: C9 ]
Nonparametric test, 非参数检验
$ O o; ?. t9 R6 T9 q4 I4 @" nNonparametric tests, 非参数检验
4 R1 }0 c1 s% e" N3 PNormal deviate, 正态离差 [ B- }1 ]3 U Y% g
Normal distribution, 正态分布
9 s# t- m1 t/ g0 f% NNormal equation, 正规方程组
$ E+ ^2 Q* I% |Normal ranges, 正常范围
2 \8 f0 m5 Q! z' p- J; `) jNormal value, 正常值
$ |" e/ S7 F N- J, }Nuisance parameter, 多余参数/讨厌参数$ \! ~% S9 O' L9 W% I
Null hypothesis, 无效假设 0 m0 S5 z3 O* n5 a
Numerical variable, 数值变量- i E; B( n/ V1 X
Objective function, 目标函数2 m, h$ _2 ?( x7 S
Observation unit, 观察单位" o0 l$ ?, s) B& I+ u( V
Observed value, 观察值
; J7 i3 t8 N: B: yOne sided test, 单侧检验8 h# V' [8 }, w6 O$ Q; i
One-way analysis of variance, 单因素方差分析
3 a2 g9 Q0 Q; j& L' g9 O- c2 Z5 zOneway ANOVA , 单因素方差分析$ n8 Q7 s. q4 g. n' m
Open sequential trial, 开放型序贯设计& {# { s2 d( d/ t
Optrim, 优切尾! a2 k& b6 T. m
Optrim efficiency, 优切尾效率
% x! @1 l) C' yOrder statistics, 顺序统计量
4 \# F6 M; w1 z, V/ g- w% d) T/ wOrdered categories, 有序分类
9 X+ q5 k% B- X% `: aOrdinal logistic regression , 序数逻辑斯蒂回归
& B' P8 x7 X5 q$ ~: UOrdinal variable, 有序变量
! q& Z- i) ]; ]! S w& k0 pOrthogonal basis, 正交基3 u, \' Y- X/ H4 D) d
Orthogonal design, 正交试验设计( E0 W) _; D0 S) {" `
Orthogonality conditions, 正交条件9 c' @" Q, l `# v
ORTHOPLAN, 正交设计 . t6 `2 Q: z: |( o( E" }) {( |
Outlier cutoffs, 离群值截断点
3 Z0 ?& x: d6 r- z& X6 d5 COutliers, 极端值- z& s9 @1 |, ?* m
OVERALS , 多组变量的非线性正规相关 2 p4 P6 Z7 ?% Z+ i& ]
Overshoot, 迭代过度
1 _, p3 t% [' iPaired design, 配对设计( ^+ u3 a% f& k% [4 f
Paired sample, 配对样本
; F9 L. q% |" j4 V, ~/ m+ _Pairwise slopes, 成对斜率 Q2 p3 a# s O/ K
Parabola, 抛物线# P6 \* o* m7 e3 f/ d
Parallel tests, 平行试验5 m- Z" ^; d+ G1 j
Parameter, 参数0 L# \- R! J: v6 \
Parametric statistics, 参数统计3 [- q( Q7 r$ T) u3 g8 B
Parametric test, 参数检验/ V$ x" w0 I0 h8 ~
Partial correlation, 偏相关
: b2 Q+ V- L& fPartial regression, 偏回归$ A6 W4 `- }' [5 O& F. P
Partial sorting, 偏排序
3 s9 l3 G4 A9 I' n/ E j8 xPartials residuals, 偏残差: m6 F6 q' h( b! w" S3 C# {% `/ M" }
Pattern, 模式
# G$ P6 K( ~% R% s# [Pearson curves, 皮尔逊曲线" y6 N! V# t4 G8 j, _
Peeling, 退层
" w$ r2 h& `' p4 U& r) F2 KPercent bar graph, 百分条形图( z4 Z* @- H3 y; F
Percentage, 百分比
& o1 K6 n, T% pPercentile, 百分位数. M& D' q+ z& m' @) H( z! F
Percentile curves, 百分位曲线
& h" s4 C- Y \" v+ \4 @% ?1 e' }Periodicity, 周期性3 Q' A* @ O* Z6 b1 P5 |
Permutation, 排列
( l6 U) a+ I9 O* n, a2 o5 xP-estimator, P估计量, a5 E8 C% ^) a" P E
Pie graph, 饼图
5 F; w; C, ?; KPitman estimator, 皮特曼估计量
# m) u3 |2 p& J( T8 cPivot, 枢轴量/ K J m7 ?7 x# [* L" A1 g
Planar, 平坦
/ ] y3 u+ P! T; x+ g# cPlanar assumption, 平面的假设& e* y$ K: n! J) W. p
PLANCARDS, 生成试验的计划卡. \+ c; t$ R5 F/ z5 o, n+ Z8 q
Point estimation, 点估计! E; `+ u( X% I# s
Poisson distribution, 泊松分布
7 y; _; A% L5 ^5 \: X ~Polishing, 平滑# q" i' G" L B1 O" C
Polled standard deviation, 合并标准差
' X3 m; f3 N8 G9 Q- i) BPolled variance, 合并方差
. Z3 O* ] ^/ mPolygon, 多边图4 F5 o, l) x J, b# c! F
Polynomial, 多项式
, r6 u9 C+ y; V8 f1 @% I& `Polynomial curve, 多项式曲线( A H; Z+ M; Z4 ~$ E7 q* d" S+ _% t
Population, 总体
* z, x4 \$ n3 |Population attributable risk, 人群归因危险度
2 V( M2 T6 a3 B# ^( J. _% Y- sPositive correlation, 正相关
# [) U1 J* ]( i- mPositively skewed, 正偏
! x- ?: A0 b& k p( ^6 NPosterior distribution, 后验分布
# t4 q, J8 G' X. s' j ~Power of a test, 检验效能% A6 X# \' z6 _) j1 x. R: ]: y
Precision, 精密度9 b3 f1 U! h8 x$ E8 ^
Predicted value, 预测值
# {7 H9 T& L* A) O5 b3 m- B3 y ^9 n; OPreliminary analysis, 预备性分析
% l* y# X/ f) T1 p* |Principal component analysis, 主成分分析) L. h* Z$ ?; [1 _3 l' c( `
Prior distribution, 先验分布0 r: p' u3 z; H8 z( r; R
Prior probability, 先验概率3 f/ X+ g' g# V3 T
Probabilistic model, 概率模型
2 Q2 G7 }) ?% T$ q& \3 g' ^probability, 概率, H% f" a* u+ K- `! @
Probability density, 概率密度! K! z# r; @* o0 g5 D
Product moment, 乘积矩/协方差8 n& i: b7 G; P* ~' T
Profile trace, 截面迹图$ N1 @& Q9 l" x9 @( J8 o
Proportion, 比/构成比 O0 N% O( t4 g! @+ C- y
Proportion allocation in stratified random sampling, 按比例分层随机抽样
/ c2 S4 H _9 f* v0 f5 h$ WProportionate, 成比例: i5 N8 i& o- C Z, ? e* C' l
Proportionate sub-class numbers, 成比例次级组含量9 X1 R3 a# {: [* ~
Prospective study, 前瞻性调查* J8 R D: B2 S' A4 ~/ h, a5 c
Proximities, 亲近性 1 I' _8 X9 S9 e8 J% |1 c; |
Pseudo F test, 近似F检验
. j0 b4 W8 t9 ^# X: H. G6 M0 o9 RPseudo model, 近似模型
" ]: T9 _8 m9 |2 B/ a1 bPseudosigma, 伪标准差6 f" p5 q# G( I9 U2 U* s
Purposive sampling, 有目的抽样* t2 o0 l. H# [
QR decomposition, QR分解
$ J, b5 j9 _ i$ C7 V" WQuadratic approximation, 二次近似) A1 I S. z0 `
Qualitative classification, 属性分类7 ~1 J( S' S2 \3 c* _3 H
Qualitative method, 定性方法
5 e, d: ]4 C g, nQuantile-quantile plot, 分位数-分位数图/Q-Q图
& `8 b& J+ P8 }9 n1 @% FQuantitative analysis, 定量分析& z# I( w7 l3 f* p7 W0 K+ c4 y
Quartile, 四分位数* _6 k7 {, W) @
Quick Cluster, 快速聚类
$ v" O5 P2 n* U( ? CRadix sort, 基数排序9 q' u+ v* ]3 v8 D( C0 \
Random allocation, 随机化分组$ Z3 F& v0 s9 @3 T H
Random blocks design, 随机区组设计' E7 F/ E) j6 e; p a
Random event, 随机事件
0 A/ J3 X. o. b* z( BRandomization, 随机化' t+ n# w% @, V7 p5 \
Range, 极差/全距8 M: o" ?0 {. s6 Y" ^8 D
Rank correlation, 等级相关
& b# l9 l( \' o3 E% y. {Rank sum test, 秩和检验
3 l- |0 `3 f8 TRank test, 秩检验
8 M) h! H: Z; M3 m' `, R7 j- sRanked data, 等级资料# i8 x! k& k6 V
Rate, 比率
1 k. z6 n$ `. s( I$ T% E. nRatio, 比例! C! i: X$ R" _- N" N) m8 ^
Raw data, 原始资料7 u# j& E, `6 i( f8 m+ e
Raw residual, 原始残差
9 }" t+ A+ a& ] b2 f& R. n- xRayleigh's test, 雷氏检验! B! q0 R! ]' w8 ]
Rayleigh's Z, 雷氏Z值 1 h: k# M! w; |$ k/ A3 I
Reciprocal, 倒数
5 p2 a( |/ n& eReciprocal transformation, 倒数变换
- {$ J' Y! L7 j3 f8 X m0 G3 RRecording, 记录& }: D, U! ]. B' q( c' E7 S
Redescending estimators, 回降估计量* k5 B! D: L V2 f+ V
Reducing dimensions, 降维
( s2 f$ \2 x R, F0 ^+ ERe-expression, 重新表达
1 }# f1 y, Q; p- `6 p4 N- IReference set, 标准组; D0 S+ W2 X, J/ z
Region of acceptance, 接受域
" y4 X h" n" D. e, U3 _. e- Y1 s& mRegression coefficient, 回归系数
- n- l' M! f0 _/ \6 s0 O& ]Regression sum of square, 回归平方和+ U9 H5 S& I% q
Rejection point, 拒绝点
6 }- S" @( y' o/ jRelative dispersion, 相对离散度# m: L7 e Z9 |/ y3 i
Relative number, 相对数
* W9 c4 x+ A7 v& z: K# |6 `Reliability, 可靠性7 n8 H6 c$ _+ A8 a
Reparametrization, 重新设置参数
9 w3 z' v8 Q: b9 u# Z: c' [( h: U: eReplication, 重复7 K$ c7 }: J) M) s0 ]( w3 r }
Report Summaries, 报告摘要# a& A: J6 X0 U( u9 _* \
Residual sum of square, 剩余平方和
% J( [* ?' O2 A# ~! v. W' JResistance, 耐抗性. V8 V& {! ^4 J0 L, f$ [/ Z
Resistant line, 耐抗线
8 N3 O0 D7 y9 m; g- IResistant technique, 耐抗技术
. n# s. x$ ~5 t% J" a9 MR-estimator of location, 位置R估计量
& h X9 L( T6 H9 L6 JR-estimator of scale, 尺度R估计量- K+ P1 {3 l- G4 T* P; U1 q
Retrospective study, 回顾性调查" o8 e# z; H2 E
Ridge trace, 岭迹 Y! L) f+ B5 j9 Y# }8 @, Z3 }
Ridit analysis, Ridit分析. {5 `% W# ?) N& z/ H! m
Rotation, 旋转' x9 G$ x. Y4 r
Rounding, 舍入. S, K3 _; ?% _! u! ?, \3 J
Row, 行0 f9 z! v& j* D6 a! ^4 S' h: Q
Row effects, 行效应9 @9 a: X- S' d% x: G% N
Row factor, 行因素 E# w& t( @8 v8 L W! U5 V9 ~ u
RXC table, RXC表
, v7 O. Y! s4 c. n1 _Sample, 样本
* }0 h' c5 E: L7 gSample regression coefficient, 样本回归系数
+ b" q3 j5 a. c7 I' T+ nSample size, 样本量
' a7 g2 P o9 [; ^' _Sample standard deviation, 样本标准差
' _/ u( J/ w" F) D8 R" I5 tSampling error, 抽样误差# g/ {% y; `0 B% t; y, y& i' a
SAS(Statistical analysis system ), SAS统计软件包
4 T! z$ C1 [1 O5 A! LScale, 尺度/量表2 @2 J' n9 U$ h
Scatter diagram, 散点图
5 ~: k. t& {3 F6 bSchematic plot, 示意图/简图" G4 x6 J) u% L+ m6 t: `
Score test, 计分检验
! Y- d2 J- ^) _3 |, O4 `Screening, 筛检( E* O. m9 D/ q7 x% h3 n9 A+ d
SEASON, 季节分析 + y* `9 T1 v# b: a( o+ N. X2 P
Second derivative, 二阶导数8 |. I9 s0 k9 q2 ~8 n9 s
Second principal component, 第二主成分
. d/ h- |7 @1 Q5 \ HSEM (Structural equation modeling), 结构化方程模型 & S e3 @5 Y' Q+ x, k
Semi-logarithmic graph, 半对数图
9 `% J: _/ m4 U9 z9 ?/ bSemi-logarithmic paper, 半对数格纸
2 a6 @9 v" ~/ c, W6 U0 | Z$ W3 ESensitivity curve, 敏感度曲线2 s/ Q& ~& s1 |0 _2 g
Sequential analysis, 贯序分析
. @' h1 U& L7 V8 `% r6 [% CSequential data set, 顺序数据集
3 Q7 M9 w a1 |- Y% N7 O1 z7 HSequential design, 贯序设计4 i0 J& x; k _1 t3 g0 F
Sequential method, 贯序法
. V( j( @! z$ M. o* d uSequential test, 贯序检验法
9 t$ g7 E$ U. s$ N* A+ jSerial tests, 系列试验
* m1 e8 _6 V# P% H1 wShort-cut method, 简捷法 " c* S* @$ m# l. k6 t& V
Sigmoid curve, S形曲线+ E$ y j' H" Z) z4 W
Sign function, 正负号函数
$ i7 n2 B+ {$ e( `4 V, BSign test, 符号检验
0 \* N V. D3 ]8 z$ v7 MSigned rank, 符号秩
7 c3 M8 v" Q3 l# U( a& LSignificance test, 显著性检验
, Q. j- E0 x1 E6 C* iSignificant figure, 有效数字5 i6 e" m: Y h
Simple cluster sampling, 简单整群抽样+ z1 w& E) x5 T [
Simple correlation, 简单相关! X5 a" u a; m H7 O
Simple random sampling, 简单随机抽样+ }6 {1 |+ Y- l
Simple regression, 简单回归" D9 ` L& p) ^# W
simple table, 简单表
, k+ X1 L% J% J* jSine estimator, 正弦估计量
8 R- X: C3 {, h s# E# d& A( ESingle-valued estimate, 单值估计1 I y/ y- t6 b" `- |
Singular matrix, 奇异矩阵
9 }" W- U" L2 _8 j1 V7 ~; t* I0 [Skewed distribution, 偏斜分布( l! ]0 e+ F0 i
Skewness, 偏度
/ e, T9 j" ? j# l* T+ B' `* b' |, d' FSlash distribution, 斜线分布( P Z7 G7 S7 C$ o
Slope, 斜率3 Z( f. d3 S/ I1 u8 o
Smirnov test, 斯米尔诺夫检验. g U4 b0 f5 X# B/ y" @
Source of variation, 变异来源
8 ]8 ]% `# }, O2 L9 SSpearman rank correlation, 斯皮尔曼等级相关
8 o+ p; ^9 _) fSpecific factor, 特殊因子. U- J/ u+ P, m
Specific factor variance, 特殊因子方差 @8 N$ x* p5 _+ h! h+ P; ^- y
Spectra , 频谱* A4 ], ~/ M$ X, w: z3 d# \
Spherical distribution, 球型正态分布" @+ p3 L' | m K. N
Spread, 展布% w3 P" R5 [+ T6 t2 X
SPSS(Statistical package for the social science), SPSS统计软件包 X, m) c# e1 Y# ^2 ~
Spurious correlation, 假性相关
$ z" ^& i- ]! l- C. i, aSquare root transformation, 平方根变换
) U8 F1 ^, n- L3 _Stabilizing variance, 稳定方差# u4 _ U( j3 y2 T. O( g. g, h
Standard deviation, 标准差' q1 A) W, C+ f2 W
Standard error, 标准误
3 i/ Y& Z; @7 P+ @& ^1 u |4 PStandard error of difference, 差别的标准误 p* i H' D, C& |" |8 j& U
Standard error of estimate, 标准估计误差
) b+ L; D: G y* M: h6 ^+ L! lStandard error of rate, 率的标准误
9 ]7 ? I9 I/ `4 u2 ^Standard normal distribution, 标准正态分布
4 w. ~3 b3 h# }( r. c/ ~Standardization, 标准化& h3 i! x: J' ]; k
Starting value, 起始值3 e0 f' W7 b( }& }
Statistic, 统计量& M# w0 u& f! g4 k) K" Y
Statistical control, 统计控制7 K0 a- D5 q: x, N% _4 l
Statistical graph, 统计图( }, f- T3 v7 Y/ m
Statistical inference, 统计推断; `7 `2 y+ s. a# ~- l/ E- ]
Statistical table, 统计表; w2 d, _, h* n0 ~, w2 `+ ]
Steepest descent, 最速下降法
" b# N8 E) M1 A2 t. r" @; u/ ~4 U3 {, fStem and leaf display, 茎叶图
9 t, e$ {$ q' l- c+ v" vStep factor, 步长因子. w8 T* j! I+ N! g/ i" E9 p, _
Stepwise regression, 逐步回归2 z0 \. [2 X( Q- k2 m
Storage, 存
$ A! U ?+ L( t: ]) S: O# s% TStrata, 层（复数）
) w; S- G& @7 t1 r) qStratified sampling, 分层抽样: c" z& A9 } ?
Stratified sampling, 分层抽样
8 p4 V& a5 }8 ]7 vStrength, 强度* p6 B8 Y7 k* X' M& y9 x
Stringency, 严密性+ ^' ], W* r" ?; ?9 ?& A, S2 @( x4 s
Structural relationship, 结构关系
% D# |* I# H' \9 B/ o; oStudentized residual, 学生化残差/t化残差
9 ~9 q2 G6 ]; D( P4 D" ?: N5 zSub-class numbers, 次级组含量0 |7 a; |3 ^$ n/ a# X* M# x
Subdividing, 分割
+ h( F# C: d' uSufficient statistic, 充分统计量
" F7 r" N7 g. ^9 ]% fSum of products, 积和
# o! S( M @3 K# \1 KSum of squares, 离差平方和
- i6 E: {3 _5 u- kSum of squares about regression, 回归平方和- P6 z1 ~8 h/ p8 o$ q5 y" S" j
Sum of squares between groups, 组间平方和
2 d( s0 o- D0 X* }. ]Sum of squares of partial regression, 偏回归平方和 P/ |; u: y4 ~
Sure event, 必然事件1 Q8 @. @# [$ r) V( C p$ U( E% A
Survey, 调查
8 n# _7 }. l# y" K2 e5 d9 K3 ]Survival, 生存分析
_7 N( }' ]! x$ r2 W4 kSurvival rate, 生存率) A* ^9 T, @: g6 S# `. ?" v
Suspended root gram, 悬吊根图# _8 B" Z C$ V5 y
Symmetry, 对称
2 X& B0 h h vSystematic error, 系统误差
& N- P1 @& i8 U5 \( v5 F3 h" ESystematic sampling, 系统抽样
' T% a% h3 A" u: p4 {3 ]( ^Tags, 标签& S' S& H5 Q6 {: D
Tail area, 尾部面积
9 J8 `: k( e O1 A2 t vTail length, 尾长
% Y8 g7 ]9 H- y$ Y) A! X1 h7 R$ tTail weight, 尾重
2 z8 R1 s) S$ i: T9 y" \ DTangent line, 切线
1 I! P" S0 R u9 JTarget distribution, 目标分布, G& v! j5 t* v* Q8 n, |
Taylor series, 泰勒级数. |8 V4 n) O% d1 O+ `
Tendency of dispersion, 离散趋势
1 u5 M' @4 d' H+ C' W$ HTesting of hypotheses, 假设检验
1 X2 g0 @% l4 R/ |Theoretical frequency, 理论频数/ U0 y1 m3 P/ J B: Q& m
Time series, 时间序列! e1 b2 F& t* W2 Z4 c+ l, ]. `
Tolerance interval, 容忍区间
$ W8 W" f9 i' `7 k1 p& W }2 hTolerance lower limit, 容忍下限
8 w) \* e5 T- B5 V3 }0 TTolerance upper limit, 容忍上限
0 l z9 A `! f. C4 t; xTorsion, 扰率$ g' S# }; K; U$ X
Total sum of square, 总平方和
+ w0 S; y7 W) u. ~! W7 g OTotal variation, 总变异
& o( X( n S$ W3 o4 lTransformation, 转换2 i, ]4 V+ c7 b( o8 d1 I9 X. y
Treatment, 处理
+ ]5 c0 }# O# b2 u' {4 _Trend, 趋势
g; |2 c7 Y n1 ]3 p! cTrend of percentage, 百分比趋势
5 e5 E+ W+ a# A" g( o$ X" d" j2 LTrial, 试验/ B0 A2 j2 W: P! C& t! e, ?
Trial and error method, 试错法* g8 z* \% z8 N' G' a* q
Tuning constant, 细调常数
v4 h3 H2 }; ^+ o& h1 s& |Two sided test, 双向检验) o: B/ _7 j, F s) z! n
Two-stage least squares, 二阶最小平方
6 z2 n3 Z8 s3 Y+ {& xTwo-stage sampling, 二阶段抽样
& a) w* _& U0 x8 ~9 u7 d( A# g* NTwo-tailed test, 双侧检验
4 o: X; ?6 S8 |4 w& g/ }0 FTwo-way analysis of variance, 双因素方差分析7 b6 @0 Y% y: b9 y y
Two-way table, 双向表0 T3 f% x7 b) V/ F' ]% h& B
Type I error, 一类错误/α错误
( G4 p9 N& z( l% R. W/ l* |Type II error, 二类错误/β错误# }- H9 Q& J! t: K5 ~
UMVU, 方差一致最小无偏估计简称7 s; m3 V8 g ?: \/ U; b+ Z
Unbiased estimate, 无偏估计* F$ a" l+ g4 y" z6 X) c! m. v
Unconstrained nonlinear regression , 无约束非线性回归2 L3 o' U7 e1 g" p; X
Unequal subclass number, 不等次级组含量3 v5 u% V8 Y8 j6 r+ M/ ]8 P
Ungrouped data, 不分组资料
* Q g B# z7 I) BUniform coordinate, 均匀坐标% [6 m9 q# B$ ~. P" y3 `
Uniform distribution, 均匀分布, K/ v9 b; r- o8 F- y4 x
Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计
5 ]/ S: e0 C# }! O. I2 S1 oUnit, 单元* t" u1 P5 n$ q' ^- B3 n3 q4 L, J& ^
Unordered categories, 无序分类
3 U9 D3 }! p8 D; [( g% pUpper limit, 上限# `& T. T# P. a) Z$ P! ?
Upward rank, 升秩
: _9 L# x, F o: M0 [; e& jVague concept, 模糊概念
5 z L) t3 n5 q: R9 c3 L" ?& J" iValidity, 有效性' K5 a' X4 F/ U( B4 S! Q
VARCOMP (Variance component estimation), 方差元素估计! T% c; f ]. W
Variability, 变异性
1 W) `- Z) s$ z; N) `+ P; M" CVariable, 变量# h/ g0 @+ v: k( R; \$ L
Variance, 方差. B, F7 C+ Q7 P2 I$ q% n
Variation, 变异
8 w0 {( I! F8 w) s4 E; IVarimax orthogonal rotation, 方差最大正交旋转6 G5 [) k' j9 b& @
Volume of distribution, 容积/ T* Q$ }" |+ @& |' V5 _. B
W test, W检验) W- r6 x5 s9 A) k
Weibull distribution, 威布尔分布. @3 Z0 P A! M; x5 c
Weight, 权数
: H8 h0 v8 k" t5 JWeighted Chi-square test, 加权卡方检验/Cochran检验
) S& g; h1 X0 A7 q3 k" ?Weighted linear regression method, 加权直线回归
: t3 Y0 I/ N5 R: i& c. n2 WWeighted mean, 加权平均数
/ D w9 g& G" @) a" H1 E- CWeighted mean square, 加权平均方差, e" t9 m! ?; N* q" [2 M' x
Weighted sum of square, 加权平方和* C% d j+ S/ B% \" @6 Y. ]3 ]
Weighting coefficient, 权重系数* V+ d9 P9 |' k; i* z" t/ a' g
Weighting method, 加权法
h4 X# O$ d; {8 lW-estimation, W估计量
# R/ ~5 G* W) B# D h: oW-estimation of location, 位置W估计量
. _7 @; `; n& hWidth, 宽度) D+ R5 K/ ^ N& V, t/ }
Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验
7 U, O$ s/ A4 |' K% ^Wild point, 野点/狂点! a5 P* ]# I( g2 o: A# r
Wild value, 野值/狂值
# \* o- i! F) S# KWinsorized mean, 缩尾均值; X8 g& ]# i ]' e6 A" ~
Withdraw, 失访 ) B+ D s% n8 F" e" O
Youden's index, 尤登指数' l* y- N7 W6 |2 e L6 o$ G* A8 l
Z test, Z检验. i9 d6 |, W- K+ N
Zero correlation, 零相关5 G: q! |% s$ M/ M9 y+ ^
Z-transformation, Z变换 |
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发表于 2009-1-6 22:05
