|
|
Absolute deviation, 绝对离差
' g# n9 F x$ E3 PAbsolute number, 绝对数
% n3 ?! q: a6 a. x$ \- v) `* g7 a# uAbsolute residuals, 绝对残差, g) M0 o! O; U: j/ s" B! U2 e
Acceleration array, 加速度立体阵5 }& x4 d/ ^+ V- ^2 l" p
Acceleration in an arbitrary direction, 任意方向上的加速度
* w! X+ b- a2 e6 q1 A, {Acceleration normal, 法向加速度
5 q! y0 {3 w6 z# Z# p }Acceleration space dimension, 加速度空间的维数
% Z+ `6 N+ C6 n/ H! c( m% w! }5 {Acceleration tangential, 切向加速度1 M6 ?; X! Y1 A
Acceleration vector, 加速度向量* K5 `8 U4 c/ G+ C; N4 E
Acceptable hypothesis, 可接受假设
7 L4 ?$ X. v% p: T' z+ ]. DAccumulation, 累积
5 I5 F0 u5 m5 v6 \5 ?: U3 KAccuracy, 准确度
0 Z" \% y: J0 H. U9 B$ HActual frequency, 实际频数/ k: X# w5 P t
Adaptive estimator, 自适应估计量
9 A8 }+ \( q# _0 UAddition, 相加
G2 A* `& @# }& g9 U1 b$ x: n5 z0 xAddition theorem, 加法定理/ @. u5 p5 J: j" b! }: o
Additivity, 可加性
, V x3 ~$ X8 ? v; o' a/ h. o; C" MAdjusted rate, 调整率6 u) ~$ K3 K+ w* g5 q8 q1 _# P
Adjusted value, 校正值
& [* M! a' M& `* UAdmissible error, 容许误差- y* O4 U8 a1 k) H1 k
Aggregation, 聚集性) Q, l$ X0 H$ |/ J
Alternative hypothesis, 备择假设
+ [0 a$ Z8 S0 \+ d9 f* r t$ O [& \9 nAmong groups, 组间
1 z& o; I! K0 e/ h3 o3 f# aAmounts, 总量, ]4 C. S( J- `8 d# f2 s( Y
Analysis of correlation, 相关分析
6 q: U' s% V* KAnalysis of covariance, 协方差分析1 d' c4 d' i$ i) c4 i& I$ ~" G
Analysis of regression, 回归分析+ L) \ x2 k' D# r' V
Analysis of time series, 时间序列分析' d% K0 s' ?% D& U; M. s. c( z* }
Analysis of variance, 方差分析
" f" U3 c2 Y9 f+ @Angular transformation, 角转换% O6 a P! W z/ d9 c
ANOVA （analysis of variance）, 方差分析7 C1 a, {8 ^5 ^- q4 ?) d1 ~ m
ANOVA Models, 方差分析模型
! f0 `4 D+ M7 \( _' G- zArcing, 弧/弧旋8 g* q* U$ W' i
Arcsine transformation, 反正弦变换" u4 ?) C0 R& `2 Y" ]
Area under the curve, 曲线面积( a" @2 F' b7 S4 G
AREG , 评估从一个时间点到下一个时间点回归相关时的误差
; a1 E+ E- O7 G. @ r GARIMA, 季节和非季节性单变量模型的极大似然估计 0 S3 i4 P. t6 T& K% L$ C
Arithmetic grid paper, 算术格纸
1 }% ?; L& J& C6 P. c: CArithmetic mean, 算术平均数
" H2 g; j1 k2 P$ p6 {. ]) FArrhenius relation, 艾恩尼斯关系
3 U( o* d+ I& F& V* t* _% XAssessing fit, 拟合的评估
* e4 R; D+ ]. C. eAssociative laws, 结合律
f7 c$ |2 `# J; cAsymmetric distribution, 非对称分布
$ n- O% w4 ~3 I* ^Asymptotic bias, 渐近偏倚+ G8 n: M Y# c; q6 u
Asymptotic efficiency, 渐近效率
6 s# a8 T( O' l) E7 J, lAsymptotic variance, 渐近方差
, S5 B L3 T: G9 B5 j& xAttributable risk, 归因危险度8 L, D: k9 G3 M v' O! n) x7 E& \: z
Attribute data, 属性资料
8 |3 K6 e0 I% I( }5 t; J1 iAttribution, 属性
' d9 p1 N9 O. v6 G$ T. x0 oAutocorrelation, 自相关
1 X$ p' T) V' |0 ~Autocorrelation of residuals, 残差的自相关
`4 }4 r7 Q8 F5 Q# R K* r: }Average, 平均数4 j, I) g* f$ v! z& @/ d; V# g
Average confidence interval length, 平均置信区间长度- T: u- K+ M. f5 l; j
Average growth rate, 平均增长率, Q+ c" s/ w+ V; ]) |* `5 P
Bar chart, 条形图2 ]; G9 W# L& ]" E. K4 c
Bar graph, 条形图
' Y: D8 {3 Y+ q, M* }Base period, 基期
* {7 g' C% w5 B/ ^, M0 u0 RBayes' theorem , Bayes定理
3 O. v4 ]& R3 F- S4 p4 q& P" c9 b+ b$ NBell-shaped curve, 钟形曲线4 o! c- C8 g" k) l
Bernoulli distribution, 伯努力分布
4 _7 i. v- {/ p& ^Best-trim estimator, 最好切尾估计量
0 |1 }) D1 s9 Y6 L) b U: EBias, 偏性 k) }' ~/ ? Z, j6 p
Binary logistic regression, 二元逻辑斯蒂回归: B# p" y! G# z7 x- E+ b
Binomial distribution, 二项分布
1 A# c# {5 d$ x: g2 I9 cBisquare, 双平方 f7 B7 n/ f: y0 N j
Bivariate Correlate, 二变量相关+ M1 D" ^& x! Z* y4 i) D
Bivariate normal distribution, 双变量正态分布4 \8 \& {9 X% n: r5 j1 R1 O
Bivariate normal population, 双变量正态总体
2 ]% L: N* P5 X$ sBiweight interval, 双权区间% O/ P6 ?; F. u5 T* D, `
Biweight M-estimator, 双权M估计量8 @% e+ K4 n- {! o( x
Block, 区组/配伍组
0 x/ o- ~; J4 P; j, H* `BMDP(Biomedical computer programs), BMDP统计软件包/ ?7 Z4 A! |) p5 V: B; q$ q0 y7 \
Boxplots, 箱线图/箱尾图
* S2 p0 T' ]) Q0 p8 E' GBreakdown bound, 崩溃界/崩溃点
: z' m: F' r7 |Canonical correlation, 典型相关
" u$ p5 p. t) A5 oCaption, 纵标目
- w1 ?+ T' B6 m+ OCase-control study, 病例对照研究4 O1 Z2 T8 c' w M6 d1 r( n5 I: E( n
Categorical variable, 分类变量8 @/ x6 d) P2 m8 K+ |3 I4 S* [; V3 a
Catenary, 悬链线& ]& _0 I+ T* E3 _8 _
Cauchy distribution, 柯西分布# l' ^( h, @$ Z
Cause-and-effect relationship, 因果关系
. O/ r. k9 T! _" ?: |( i3 K, `Cell, 单元
7 x7 n. Y( L/ _$ p9 p- FCensoring, 终检
C9 d( }* [ CCenter of symmetry, 对称中心
" B& d4 P( V0 t7 y, g6 L: f* q4 ICentering and scaling, 中心化和定标
; c, w6 W/ h% h4 @7 M$ DCentral tendency, 集中趋势
9 H5 B/ p9 b! C5 v- j$ A( dCentral value, 中心值
1 ~: \6 a/ e6 s* v3 b6 o+ O7 _9 Q1 cCHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测
6 v) j7 U9 U6 c8 ?5 z1 u) OChance, 机遇
* `% d7 B7 x, Y# A/ R& nChance error, 随机误差# Q K4 ?& m, y$ @( n% c
Chance variable, 随机变量" J$ Z9 P) U$ T( q5 c
Characteristic equation, 特征方程
5 A9 ?/ j6 ?$ z4 @) ~* j( g* g. c: _Characteristic root, 特征根
8 _ d* L/ i; ^% t1 K6 |3 c0 Q( XCharacteristic vector, 特征向量
, h J, w: } M: j( lChebshev criterion of fit, 拟合的切比雪夫准则/ V8 D% Z5 v2 p! w4 Q( Q# `
Chernoff faces, 切尔诺夫脸谱图
+ h$ W% a; S* c* Q3 NChi-square test, 卡方检验/χ2检验' C' D2 F, |9 A$ K
Choleskey decomposition, 乔洛斯基分解' k; J1 q$ u- y4 l$ f- F. T! _! k
Circle chart, 圆图
* R P' G2 {7 z& KClass interval, 组距
! `2 c! v+ ]$ F/ P+ _7 \Class mid-value, 组中值 S! k0 e/ n( k/ g0 s5 r! G& E# H9 k
Class upper limit, 组上限' y7 f" J6 K: b4 `0 u7 T( j! }
Classified variable, 分类变量" a; b7 ?1 s9 J+ `
Cluster analysis, 聚类分析
! A) L3 y* a; J2 CCluster sampling, 整群抽样
1 j, W7 T2 \( p% G( h9 i$ |- TCode, 代码
7 Q+ m# o) ?8 T8 P" lCoded data, 编码数据
3 D7 I$ ^ I- i: YCoding, 编码
- d+ V0 Y8 Q8 W6 ~$ |8 W4 t0 oCoefficient of contingency, 列联系数
K7 k2 E5 h: y+ Y5 c UCoefficient of determination, 决定系数3 l" j: E% j! a3 X& D- \: v5 L
Coefficient of multiple correlation, 多重相关系数8 W4 J+ L' [5 s `/ J# d
Coefficient of partial correlation, 偏相关系数9 H2 R9 k3 A- S! Z
Coefficient of production-moment correlation, 积差相关系数
6 w4 c/ ?8 J+ A8 tCoefficient of rank correlation, 等级相关系数9 @# k( E3 ~) a. e
Coefficient of regression, 回归系数. D1 t7 j, l, Q4 j& K, P
Coefficient of skewness, 偏度系数
" V& ~: [/ W- Q/ m5 L) B/ V% {Coefficient of variation, 变异系数
( C7 o6 Q) z/ O' K" ~2 h$ P+ E! k6 QCohort study, 队列研究
7 t9 \5 l/ M" H3 QColumn, 列
; I! q# O& `; S6 B% NColumn effect, 列效应
8 s. e: q. w( tColumn factor, 列因素4 Q: `) g/ W* E$ w3 j. j) O7 k
Combination pool, 合并) a) \, ~+ |4 F" I! Z( s' h& g
Combinative table, 组合表# N1 u& K2 Q0 L$ G5 a( }5 } m
Common factor, 共性因子: k7 [& x' Q7 K5 ]8 A! y
Common regression coefficient, 公共回归系数
& m) B- y2 _" T/ F0 @Common value, 共同值! d6 b0 ~' V# L4 V% \, n
Common variance, 公共方差
+ e* |, l+ e6 |2 nCommon variation, 公共变异" l9 X4 Q C$ I. t6 V
Communality variance, 共性方差; _5 Q U2 B8 W' j* V1 I
Comparability, 可比性
$ A, t k3 v+ M! uComparison of bathes, 批比较' V- ~( k: k3 S/ d% e4 l
Comparison value, 比较值
2 |8 w( x' S+ h* }+ ZCompartment model, 分部模型9 P1 T$ C& v( Q' I
Compassion, 伸缩
# P$ y$ V1 I: d8 ?1 e1 lComplement of an event, 补事件
6 l' h+ Y- C: S Q- Y3 z p0 jComplete association, 完全正相关
' B) P: e( s( s0 @/ a( y0 ]* EComplete dissociation, 完全不相关
& t4 ~6 M( @) t9 Z5 n3 ZComplete statistics, 完备统计量
% x' n* ^, [& @( x7 |8 zCompletely randomized design, 完全随机化设计
4 I; g2 Q! \9 f* Z/ RComposite event, 联合事件3 j1 }, g2 d; W2 X2 z
Composite events, 复合事件
8 U, A) n+ K `$ G, Z# VConcavity, 凹性+ k1 X* K0 [+ X0 ?7 [
Conditional expectation, 条件期望0 i& T9 B3 N, B) w
Conditional likelihood, 条件似然3 x; | M9 Q5 p
Conditional probability, 条件概率5 R; b, l& \% f
Conditionally linear, 依条件线性# `) K& G7 s& n7 n
Confidence interval, 置信区间* E& L4 ~( S6 R4 Q# J
Confidence limit, 置信限
) m& Q3 c9 g( o4 s1 {& O# {Confidence lower limit, 置信下限7 \+ v4 Y/ @/ d& s: N8 H% ~
Confidence upper limit, 置信上限; i O" H2 X" O+ @
Confirmatory Factor Analysis , 验证性因子分析! u6 Y" B4 [+ z1 v8 `" b! h
Confirmatory research, 证实性实验研究2 o9 M0 a; g2 f" I" h' E
Confounding factor, 混杂因素% p$ E1 `2 w* a4 A @# w T
Conjoint, 联合分析
$ W' v' r( G' D# U+ JConsistency, 相合性# U0 @6 n2 A+ h$ y7 D+ q
Consistency check, 一致性检验4 t" b. T0 v# S+ N5 z/ f
Consistent asymptotically normal estimate, 相合渐近正态估计" q4 d( Y! x4 s0 n9 z Z. g: V
Consistent estimate, 相合估计) x& C$ H) c2 H7 e/ B
Constrained nonlinear regression, 受约束非线性回归! x/ y! h# d# _/ G) |/ Y
Constraint, 约束- @7 R# b; h E5 u% J. L
Contaminated distribution, 污染分布
% `" m4 G$ p1 n# X) \Contaminated Gausssian, 污染高斯分布3 S: k. N5 E, R1 j( [
Contaminated normal distribution, 污染正态分布
& K% P$ W# E8 eContamination, 污染
% K+ R$ W D4 D1 PContamination model, 污染模型' U U/ o( I$ B% ?4 E
Contingency table, 列联表
- r! ?+ }( @0 ]Contour, 边界线
8 K& \* U' F# m# N" N+ W iContribution rate, 贡献率
) Y3 g9 E2 k& W* |% X tControl, 对照
7 z. K, d1 q; I( c% BControlled experiments, 对照实验0 P9 \) @* |: _# Y' r C
Conventional depth, 常规深度2 f) G- z8 r4 x7 r% r
Convolution, 卷积
8 y s o0 v; \3 k% tCorrected factor, 校正因子4 w1 L# `; T0 O2 `- P
Corrected mean, 校正均值
; t( A0 @. \. j/ P% PCorrection coefficient, 校正系数) \! S4 x# K& N+ R7 [
Correctness, 正确性
+ u" g: E, `; l5 B( z/ |* V5 M5 RCorrelation coefficient, 相关系数
7 ~2 ?; b; x* I4 M6 r. s0 ~Correlation index, 相关指数
t' h3 x" g. Z* K) }Correspondence, 对应. C3 K# j, j) C; H
Counting, 计数" N6 H+ a' g ?+ v, n
Counts, 计数/频数# ?6 x, S& |' B8 L* N# o, z! b
Covariance, 协方差
7 i, `- \& |- e# aCovariant, 共变 # K2 d F$ y5 h6 H
Cox Regression, Cox回归
8 ?6 u. V4 Q3 u* sCriteria for fitting, 拟合准则
: w/ H) U7 K8 Z8 s/ h1 P7 `Criteria of least squares, 最小二乘准则* W3 m J1 o, p! N# s8 K
Critical ratio, 临界比3 [/ i6 ]$ e; L
Critical region, 拒绝域
, ~) X8 @( @% [. i% E7 G- w4 RCritical value, 临界值
4 ~; o, v4 A+ c0 w* }! v( D. ACross-over design, 交叉设计
, p5 o* |! C J) G$ kCross-section analysis, 横断面分析' p% F: k) U# |
Cross-section survey, 横断面调查
4 J Y; T6 B* D, ~Crosstabs , 交叉表 8 a( |+ c' U* m$ [8 @
Cross-tabulation table, 复合表
) ~- y6 P/ t8 U" f$ _Cube root, 立方根: R! X. q7 P! x2 D
Cumulative distribution function, 分布函数
: K1 v7 |1 v% sCumulative probability, 累计概率
* s! m! v; J3 ?: B7 Q. ?0 R2 H+ z3 JCurvature, 曲率/弯曲
& h$ R) q; E$ o% n8 T& }Curvature, 曲率+ s# ^! B1 [, W1 D3 N _
Curve fit , 曲线拟和
r& F' W6 e; v% _* c' H' i" bCurve fitting, 曲线拟合7 }) H* y7 z# K
Curvilinear regression, 曲线回归
( c1 z; z& B( B: Y; E6 |Curvilinear relation, 曲线关系0 i+ g" Z- H: `" T
Cut-and-try method, 尝试法! m' j% ~6 I6 D) c( A0 O! P" G4 J
Cycle, 周期
# A/ s. z. d0 `8 ~8 Y% oCyclist, 周期性9 ?" {% d- h' ?, S2 a" o
D test, D检验- _" o9 T1 X; ] J9 _. t
Data acquisition, 资料收集% t, o+ [4 Y- K
Data bank, 数据库% q. \. x! n& z6 y: H+ f2 H
Data capacity, 数据容量
6 D* L8 ?" T0 g/ n2 F3 [2 B6 u2 z; wData deficiencies, 数据缺乏" H1 y5 L! ~) r! P4 s* G9 r
Data handling, 数据处理7 }6 j8 M% P& ?- U, V" X" w+ b
Data manipulation, 数据处理" o& O- V" j& l/ t% z$ M+ s. p* N
Data processing, 数据处理0 }$ M3 j, S9 C0 ~" W, t% i, c8 J
Data reduction, 数据缩减0 a! |8 Q8 i2 J% ` a. C7 [/ A
Data set, 数据集
" K k- ]1 u) h% [7 `Data sources, 数据来源3 G1 B' T: c! [6 b: U# Y
Data transformation, 数据变换4 S$ n0 O( B/ Z5 g
Data validity, 数据有效性
4 Y% X3 e6 G$ Y( [( Z# XData-in, 数据输入* x0 n$ ~0 N! y- d- A' N0 z7 Q
Data-out, 数据输出6 _/ k2 R# @4 N" i& X, }. M/ O
Dead time, 停滞期
* i- J# b' L. k' r8 n: ~Degree of freedom, 自由度
! `+ {; d6 G% U6 y% jDegree of precision, 精密度
1 ?0 P0 i( g( z2 e2 Y ^5 a8 H. vDegree of reliability, 可靠性程度) `" A2 g' d/ x. Y9 C e$ B8 G1 a, k
Degression, 递减
. n7 O6 x# K8 X }Density function, 密度函数
, k X) z, Z$ P0 H# U5 B+ pDensity of data points, 数据点的密度% B t( B. C X, }, F q
Dependent variable, 应变量/依变量/因变量
. u2 s q& A( M5 u2 Y, w' t9 uDependent variable, 因变量. R' v1 |' o- d, H) N& M+ o
Depth, 深度+ U0 Z% T/ m2 ~! E2 \$ B. O4 Z
Derivative matrix, 导数矩阵6 [' Q3 \& Q* u3 Q6 T( ]% R# x
Derivative-free methods, 无导数方法8 R6 u- a6 ~! ^: v4 n
Design, 设计% y/ S) N3 G/ d2 h a! J6 z
Determinacy, 确定性' T$ t9 }* ?4 _5 |, m# T
Determinant, 行列式
! ^: @( c" L3 R8 ^% A! D) kDeterminant, 决定因素
( E( y' D2 f3 X( ?3 @Deviation, 离差
$ A- Z Q- J- ]: |+ d6 |/ {Deviation from average, 离均差- t& R, X# Q+ V
Diagnostic plot, 诊断图) Y2 Q' p( g8 l, I) ]* P/ j
Dichotomous variable, 二分变量2 _3 I" U3 R4 e- `% }
Differential equation, 微分方程
1 l$ b; v% C. O+ L* yDirect standardization, 直接标准化法
4 D \ n& D/ z/ d: F! N/ @, }Discrete variable, 离散型变量
4 ?$ d @: t/ E( h4 y1 M4 W7 f2 fDISCRIMINANT, 判断 / }" D& a/ y: C
Discriminant analysis, 判别分析/ V* }7 T: d% w$ N
Discriminant coefficient, 判别系数
& x( n, n. t8 Z6 @2 {: Y, `Discriminant function, 判别值
9 l0 d1 S* n. J) gDispersion, 散布/分散度; @9 |6 g( f! n( J# m: p
Disproportional, 不成比例的
: y: d& ]+ d9 P% h$ G; o4 ADisproportionate sub-class numbers, 不成比例次级组含量
: t" x/ [2 \' C8 Q* ?/ VDistribution free, 分布无关性/免分布# T$ o. Q& g p' d
Distribution shape, 分布形状
; F+ k' s5 s+ h+ r8 ^( A% o, HDistribution-free method, 任意分布法' D# b, W% N: C( z7 V. f
Distributive laws, 分配律
; P( ~/ K1 v1 y' u# B2 IDisturbance, 随机扰动项, T* R8 S7 }/ N4 K, y
Dose response curve, 剂量反应曲线
9 k/ V6 I1 g9 \( _) _6 N! PDouble blind method, 双盲法
& G. X- S0 H) I0 I" HDouble blind trial, 双盲试验
& O0 Q; D. `9 j% B" NDouble exponential distribution, 双指数分布0 K# @7 C, s" E# S
Double logarithmic, 双对数
/ x8 ?- v N& KDownward rank, 降秩
; h W# h+ W; o3 i, H4 X% Y4 vDual-space plot, 对偶空间图8 p8 q* [1 @! c, i* H }5 X
DUD, 无导数方法
( }. k* ?) N$ e2 E/ a6 t5 cDuncan's new multiple range method, 新复极差法/Duncan新法5 [/ `, ~" |2 M$ q
Effect, 实验效应
]8 y$ s$ G& m" w% a7 NEigenvalue, 特征值
: t# v& e- M& p, DEigenvector, 特征向量3 ~- d1 t# F& _- \! ~3 }8 t* y
Ellipse, 椭圆5 a- E( X$ f: [$ K/ P n
Empirical distribution, 经验分布/ {# z1 k, n3 B5 C: Z# {& t( ]
Empirical probability, 经验概率单位7 {( f( \, h, I" C
Enumeration data, 计数资料
: l3 t; s/ }6 e; E" d- }+ ]4 ?Equal sun-class number, 相等次级组含量
$ }$ x! |) e) REqually likely, 等可能
/ [' K' T% N9 [4 gEquivariance, 同变性1 g$ T: O) i% z
Error, 误差/错误# ]8 D% w8 A" j; r/ y0 D
Error of estimate, 估计误差
& G$ Y f# Y/ e, u& r: U4 b5 bError type I, 第一类错误
# i* R* J: @+ @4 g" `8 bError type II, 第二类错误/ w# }8 m @# v% g: `/ V& E
Estimand, 被估量
V% A" o, ^7 O# j6 i+ ^+ iEstimated error mean squares, 估计误差均方3 p7 T) m, E* W6 W/ Y7 G. G8 D
Estimated error sum of squares, 估计误差平方和
3 Z: m( l& q5 N0 Q7 U5 X6 w6 lEuclidean distance, 欧式距离- @7 P& B* V8 f" E
Event, 事件
6 m# A& [2 c0 Z9 gEvent, 事件
# o" _( E7 b8 k9 @4 M& tExceptional data point, 异常数据点
* X* `4 s. P# p9 dExpectation plane, 期望平面
2 E* b7 l# [! g: R* QExpectation surface, 期望曲面
0 |$ ]3 I: d% Q, [: nExpected values, 期望值& b: \. n L9 u: u' e6 Y; H
Experiment, 实验
- C( L$ `, z( y G0 E! wExperimental sampling, 试验抽样
9 n+ ^7 V f% J; MExperimental unit, 试验单位
4 A5 W+ [/ I V" i9 rExplanatory variable, 说明变量/ l; H9 O, ?; g, C, [ b
Exploratory data analysis, 探索性数据分析+ Z1 B+ ]6 N+ B: F9 j
Explore Summarize, 探索-摘要
6 j/ G( ^- b6 G% V- {1 t8 dExponential curve, 指数曲线0 e8 z. l, i7 N9 Z* D
Exponential growth, 指数式增长
( S% F3 `. [9 _- }% CEXSMOOTH, 指数平滑方法 o5 O) c, m2 Z: b
Extended fit, 扩充拟合+ |: k, c- c8 M6 `6 H' b
Extra parameter, 附加参数
. _2 @$ I5 H, S% P' a4 uExtrapolation, 外推法
( h5 u3 z# x9 _- P1 CExtreme observation, 末端观测值* w X& z1 S9 O* L
Extremes, 极端值/极值( Q( N4 s- Z( a0 d" Q% s; p _* J; o
F distribution, F分布
; {% c3 [2 u5 ^& h# B" R# {F test, F检验. T0 k$ y! O) k; A& @7 b
Factor, 因素/因子4 x) p1 n: m$ [8 i, g5 j4 D6 }. z- f% i
Factor analysis, 因子分析
! B2 r4 M; S8 h" c% cFactor Analysis, 因子分析
6 s t3 B" }* s4 G4 U& x' \Factor score, 因子得分
9 G9 I, \3 d7 o5 _7 W, hFactorial, 阶乘
: ^" p1 W# j8 TFactorial design, 析因试验设计
6 o# I8 E+ g4 z1 h$ j% i, P0 kFalse negative, 假阴性9 N* s# _+ C% x' Z
False negative error, 假阴性错误/ s+ v9 e2 X( X0 g" i( Q+ {4 @
Family of distributions, 分布族
. f7 l3 ?2 E% |5 O0 o8 lFamily of estimators, 估计量族
3 A# i/ J& m0 z6 O0 g2 O$ n- R7 Z _Fanning, 扇面
! R- I. _" I; m& u- H% a, s! vFatality rate, 病死率, F" [0 o5 w' p; b) S
Field investigation, 现场调查
5 u+ A: A/ L( Y' R9 T1 XField survey, 现场调查6 e6 \: ~% }: j& ^& Y6 X
Finite population, 有限总体1 s9 C! y! C, A$ s/ T
Finite-sample, 有限样本2 D( o5 \8 N; C9 F* _
First derivative, 一阶导数
/ b l7 D: B; n7 K3 A! _+ t0 |5 OFirst principal component, 第一主成分
, _6 y0 O S0 ^2 d [+ d9 U* x! CFirst quartile, 第一四分位数
5 I5 B- e3 ^! ]) q# W9 h5 jFisher information, 费雪信息量9 z' X. p/ B4 g, S6 n! Y
Fitted value, 拟合值
5 F. q, i0 m% U3 x/ zFitting a curve, 曲线拟合- `' o+ Y) F$ S
Fixed base, 定基: C. n- |+ ]# r, _2 k H, J
Fluctuation, 随机起伏
N$ p8 J+ X/ RForecast, 预测
' B# a1 z% _$ m# H# @0 OFour fold table, 四格表
3 k' ?0 k( e; h1 B6 aFourth, 四分点& U8 A- Z0 W3 y7 v* F
Fraction blow, 左侧比率" l& C2 u) z" i4 t& V0 ~7 I( e0 G& n2 P
Fractional error, 相对误差
4 i# `/ k( D ]8 i. JFrequency, 频率; A( p# z9 x9 r: A4 O
Frequency polygon, 频数多边图
# e; O( @7 T% X* \# c- T' {. {Frontier point, 界限点
, j q6 `* S. u; yFunction relationship, 泛函关系
" [0 s* ?: K, xGamma distribution, 伽玛分布
# X% Q7 l" H8 `+ H5 E5 _Gauss increment, 高斯增量
+ D- W" X( Q) _Gaussian distribution, 高斯分布/正态分布
1 g8 j4 K) |: |& E$ P) ~Gauss-Newton increment, 高斯-牛顿增量4 }* u2 k+ W5 L; `/ }2 l
General census, 全面普查) `: V! g' ^+ a- h$ M
GENLOG (Generalized liner models), 广义线性模型 , j! G% R2 U" p# @5 g; k/ `* W! \
Geometric mean, 几何平均数
7 G1 J/ F8 D) Y$ n0 pGini's mean difference, 基尼均差, W3 K3 G" k+ h* R
GLM (General liner models), 一般线性模型
2 `9 t! {& }& e# @) y) Y+ AGoodness of fit, 拟和优度/配合度) B1 R6 N# \- i' c$ b
Gradient of determinant, 行列式的梯度
* l/ F$ M6 K- M5 N+ EGraeco-Latin square, 希腊拉丁方+ d' s" d1 T# I6 o* C9 ^. M
Grand mean, 总均值" x! g- o& @# A, M( L2 R
Gross errors, 重大错误
2 {# R9 {4 [( |4 ^+ H0 p3 kGross-error sensitivity, 大错敏感度
" j: V) Q2 I, O4 X* ]+ ZGroup averages, 分组平均* o9 H. t, `: X0 C8 U1 c: x, ^
Grouped data, 分组资料0 e, l7 P6 Q+ \7 e6 }1 K2 }% J
Guessed mean, 假定平均数
4 K8 t. T& C/ u6 W ^' r* BHalf-life, 半衰期
" Z; A# f, C: j4 g! J' T! xHampel M-estimators, 汉佩尔M估计量
0 _0 g6 }* } LHappenstance, 偶然事件0 S& n2 C R( L0 P7 f
Harmonic mean, 调和均数
1 {) E1 Z8 z) T* c' Q LHazard function, 风险均数( E, s! o" ^) a6 b* P
Hazard rate, 风险率, b; x* K% ^2 k2 |- i& U
Heading, 标目
, P/ N( G9 c0 ^* h# z' ^Heavy-tailed distribution, 重尾分布
; O! x" Q: F# T. L# cHessian array, 海森立体阵# V, j$ s6 E% J/ b) k9 E4 J
Heterogeneity, 不同质
- q2 I% y+ h! B4 I% B& JHeterogeneity of variance, 方差不齐
% W( \8 _( N6 J5 G W' F! ZHierarchical classification, 组内分组
2 o) D% y0 U7 j) a- I" s" t8 zHierarchical clustering method, 系统聚类法9 h: x; \0 L# c u, ^
High-leverage point, 高杠杆率点/ s" `" D6 n$ X8 [
HILOGLINEAR, 多维列联表的层次对数线性模型4 P& Y2 V% {! ?9 G. V4 p5 I
Hinge, 折叶点
1 ~3 @# ]$ A; K5 K* ^7 hHistogram, 直方图8 L0 z% ^' Q1 b- H) j0 P
Historical cohort study, 历史性队列研究 2 f/ b, f/ d. f7 D
Holes, 空洞; t; y9 {3 ~ l6 w% X0 `7 K
HOMALS, 多重响应分析
" X# V1 I+ N1 ]3 I* u5 kHomogeneity of variance, 方差齐性! V( f5 s7 V' [: u( D7 C
Homogeneity test, 齐性检验
$ V, }$ A4 y0 M% T) `: LHuber M-estimators, 休伯M估计量
+ b0 D" g8 d) e' N, sHyperbola, 双曲线7 b0 j9 r" M1 ~3 g8 q2 j
Hypothesis testing, 假设检验2 [$ g* o2 d% e, `% n% r
Hypothetical universe, 假设总体4 W9 c" G1 S6 I+ ~) v c$ h9 d
Impossible event, 不可能事件
) ?0 f8 J0 [5 J3 d3 SIndependence, 独立性
/ E& S) J7 D& x1 RIndependent variable, 自变量7 g, _2 N3 |' u* t- |
Index, 指标/指数) n% j, N9 ?* [. U% o. d
Indirect standardization, 间接标准化法! b' u3 H# G$ r8 ~& k# b
Individual, 个体
" y# M) E+ k6 A& f- BInference band, 推断带( U5 R" b# j0 o! U7 e& w" R& A, ~
Infinite population, 无限总体
' u3 `2 @8 |* n+ b2 n+ M' xInfinitely great, 无穷大
+ n4 h9 d# F3 [3 G' X: WInfinitely small, 无穷小
- y: X1 ?3 i+ b) p* i! g9 G8 gInfluence curve, 影响曲线* w2 R5 q) R; ~# O8 c
Information capacity, 信息容量/ F& ~' t$ K- t+ |* W# U
Initial condition, 初始条件
% K0 _! B: i% EInitial estimate, 初始估计值
+ F+ n/ ]" ^( LInitial level, 最初水平+ H& a) J: H! j" h* H6 f0 I
Interaction, 交互作用7 U' m. ^% ]$ O/ X; w
Interaction terms, 交互作用项
, p$ k* f$ {8 E: T0 xIntercept, 截距
. z6 t: K* T2 s; h6 bInterpolation, 内插法
6 [* e2 w- k. v* U$ ]Interquartile range, 四分位距* A: o# T& f X# \
Interval estimation, 区间估计$ X# k1 R- B5 N! ~( g: b
Intervals of equal probability, 等概率区间! Q+ s, C& S0 P$ O' R) }
Intrinsic curvature, 固有曲率
+ E& X% q7 ~3 @* U0 s/ W. ?9 j: VInvariance, 不变性$ M1 i# H. i+ m
Inverse matrix, 逆矩阵
4 D# M& {) T; ^" j0 Q) o2 j% \Inverse probability, 逆概率
3 y+ F& u }' Z. d+ t# H' ?' s+ m9 jInverse sine transformation, 反正弦变换
6 \4 U- v. O; e% D4 HIteration, 迭代
O7 f, ?0 W( l5 ZJacobian determinant, 雅可比行列式/ F/ k0 X0 L1 D# q
Joint distribution function, 分布函数( D- n! N: X8 [6 s" }
Joint probability, 联合概率
. D3 J. z4 j5 {' PJoint probability distribution, 联合概率分布
3 ?3 I1 U( o* d U" T0 ]% q8 NK means method, 逐步聚类法# r) Y* L0 q& q5 i( j
Kaplan-Meier, 评估事件的时间长度 + G% N0 }7 l- ~
Kaplan-Merier chart, Kaplan-Merier图1 @" N' u& e7 u; L' K
Kendall's rank correlation, Kendall等级相关
! ^0 ^6 [0 I* g* K% F- [Kinetic, 动力学, I- `; T, M. X, n4 g+ h7 P5 S& L
Kolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验6 R9 J0 Z& R9 Q: j3 P# P( d+ ^
Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验
2 a! H6 ?0 ]1 U2 G3 `7 o NKurtosis, 峰度
( s9 D( J3 \( z4 p' M# fLack of fit, 失拟7 R$ I+ p; ~% S8 }8 b- \
Ladder of powers, 幂阶梯9 u; Q& n1 s0 A' k2 {; z
Lag, 滞后
/ y' Q" H( o8 D/ B% S" y9 eLarge sample, 大样本
7 s5 s/ s9 T' bLarge sample test, 大样本检验8 j& k# T$ A* X4 u: r7 A
Latin square, 拉丁方& I- H ?5 S1 W$ K. ^; G/ n" f6 W
Latin square design, 拉丁方设计
1 Y2 L, c! E, X" WLeakage, 泄漏7 X. \: w% X3 h4 [2 [0 ~
Least favorable configuration, 最不利构形
' Y6 U. R$ z' t: _0 @. ZLeast favorable distribution, 最不利分布8 W2 X' `& p/ o; X6 R
Least significant difference, 最小显著差法
) ?. O/ [9 |& Q) x! y% U6 ILeast square method, 最小二乘法5 x0 ~# u2 J% J8 F9 T3 T
Least-absolute-residuals estimates, 最小绝对残差估计" M+ ]- N$ O3 D' H4 ?1 D
Least-absolute-residuals fit, 最小绝对残差拟合
0 w8 a# r- E2 @2 u. YLeast-absolute-residuals line, 最小绝对残差线
- T& G1 h1 l& X) {) aLegend, 图例) a: ^9 @# ?4 W I
L-estimator, L估计量: a2 `, G8 a r* n0 Y3 d. {' J% N
L-estimator of location, 位置L估计量( r6 j- j6 o+ f- \8 H( S: [8 J
L-estimator of scale, 尺度L估计量
9 B) |' r) K ^# F" f( bLevel, 水平
: c m7 s0 }* |2 E" q: \) CLife expectance, 预期期望寿命& u9 ^' K& r i: L. f* g
Life table, 寿命表: y. Z2 [- B1 O/ c5 c0 R
Life table method, 生命表法
( Z& j4 Q0 s: d* D+ yLight-tailed distribution, 轻尾分布6 C, j/ B2 D* ]; }
Likelihood function, 似然函数
& g; U z& e" n0 t) DLikelihood ratio, 似然比
& ^7 l( U4 }, i/ ~) c, K2 O7 `) Cline graph, 线图. T/ h" e- d4 ~# j: _; R
Linear correlation, 直线相关
, q( V M& U& e: {) }, QLinear equation, 线性方程) e. C% f1 B% C5 \, [
Linear programming, 线性规划
3 E3 i$ _: c9 XLinear regression, 直线回归- }/ r) c5 f4 c
Linear Regression, 线性回归
3 a) h- l- U; X7 S" ], ?- s: ULinear trend, 线性趋势8 e w, x' D+ h2 S: _1 |
Loading, 载荷
5 C2 S1 [, Y" S7 `! ALocation and scale equivariance, 位置尺度同变性
5 G0 k: P0 W4 A* |+ y! Z8 ?( GLocation equivariance, 位置同变性
Q) ~3 ]2 X# p, m! `0 lLocation invariance, 位置不变性8 x- j- t0 v6 k) Q3 n9 r
Location scale family, 位置尺度族' ]# B& Z, K% }8 r' q0 w( ^
Log rank test, 时序检验 + C* j" E2 d. t$ u' P6 N
Logarithmic curve, 对数曲线
: s, x. X) t+ P% cLogarithmic normal distribution, 对数正态分布
( i5 k/ s2 \8 qLogarithmic scale, 对数尺度. u# s6 ?2 p+ k7 o% }' `
Logarithmic transformation, 对数变换
: t; l: I4 I! }* B9 ?) {+ [Logic check, 逻辑检查
# X2 Z: W; k" i& D2 I9 gLogistic distribution, 逻辑斯特分布' k/ g, p, D' L+ s! m) @& j
Logit transformation, Logit转换3 M! g. E! p- `2 Q* b$ K
LOGLINEAR, 多维列联表通用模型
3 U/ {9 E9 x; @! i3 y- J) aLognormal distribution, 对数正态分布
# H% [' ]0 f$ t1 ?& H3 z$ H; ELost function, 损失函数
% ~4 ]9 a) |- d k7 E2 a1 n6 uLow correlation, 低度相关( V" M/ C( a0 e, i9 Q
Lower limit, 下限
" ^+ c: B5 W: l$ y* ILowest-attained variance, 最小可达方差/ q. W0 Z8 i2 |: w2 @' W
LSD, 最小显著差法的简称6 b8 c3 n0 _7 ~/ ?6 T9 P" ~ a
Lurking variable, 潜在变量) H+ q) h; v0 u* D+ c7 l$ n
Main effect, 主效应
3 s, r0 `2 }: J: }, aMajor heading, 主辞标目: b7 t8 r* q+ j/ Q8 q8 ^+ a
Marginal density function, 边缘密度函数
3 k4 v2 j7 E- u. ?6 q7 V$ ^! u9 v# O9 lMarginal probability, 边缘概率* r9 x% G0 z* O9 }$ a
Marginal probability distribution, 边缘概率分布+ U3 j' e! [( m$ @; \( R' I
Matched data, 配对资料5 Z% M8 u$ W! Y+ M: q
Matched distribution, 匹配过分布
8 S; K# R# W! W. H$ N% oMatching of distribution, 分布的匹配% u# Q# `* H# G7 N
Matching of transformation, 变换的匹配
2 ]: V3 u! Z' ?& U+ K7 RMathematical expectation, 数学期望
: P1 N# ^! y" Z6 e9 ?0 c3 w8 KMathematical model, 数学模型. a0 r. T( n- Z" i! b
Maximum L-estimator, 极大极小L 估计量 D7 G) c) x2 K8 Q: F
Maximum likelihood method, 最大似然法* o' A0 m3 W2 N. L
Mean, 均数1 f) P8 _; M: F, }3 l
Mean squares between groups, 组间均方
$ ]; d1 c) c% q7 Z8 PMean squares within group, 组内均方
1 v q& g4 g: T9 e" [Means (Compare means), 均值-均值比较
/ [& M) n% [: M m9 s5 B3 ^Median, 中位数# f( [0 d+ t3 v0 M8 i
Median effective dose, 半数效量
: |: p. F( Q5 kMedian lethal dose, 半数致死量 h" H3 z& s# x' o y$ b; y( J- p7 p
Median polish, 中位数平滑4 W# C8 b( c0 D: O( z
Median test, 中位数检验6 y; E0 t: _# [0 g
Minimal sufficient statistic, 最小充分统计量
; ~" o. R+ p/ a+ jMinimum distance estimation, 最小距离估计7 I t# o6 F% U) P( P W" Z! u
Minimum effective dose, 最小有效量. }6 [1 @0 c" j7 W; K( h
Minimum lethal dose, 最小致死量( A: \! i' S4 \" C2 F/ Y2 c
Minimum variance estimator, 最小方差估计量2 @; W2 {# J2 b
MINITAB, 统计软件包
8 I+ E/ x$ E6 q# OMinor heading, 宾词标目
3 u: c2 r) A/ y: S1 mMissing data, 缺失值
4 M4 o/ f( T& i5 O; fModel specification, 模型的确定+ d- ]9 h2 g; L* K2 f$ U
Modeling Statistics , 模型统计# c2 H0 \! D" ^4 d4 [ Q
Models for outliers, 离群值模型
( E" e+ L# y$ P% T6 X% w% @7 VModifying the model, 模型的修正
8 F: |- E6 L+ jModulus of continuity, 连续性模
7 I! K1 }: J( _Morbidity, 发病率 2 N( n {: O5 X: B$ d( O
Most favorable configuration, 最有利构形
+ V6 @( j) v2 h# C) s& J; Q6 o( bMultidimensional Scaling (ASCAL), 多维尺度/多维标度
. L; R/ t) h4 K" O: ?Multinomial Logistic Regression , 多项逻辑斯蒂回归
% h4 S3 ]& j" TMultiple comparison, 多重比较
& M% H1 [( c$ v% o* QMultiple correlation , 复相关7 C6 l8 M V; D) l
Multiple covariance, 多元协方差
* d- Z7 n% I0 u9 rMultiple linear regression, 多元线性回归
" ^% @" f7 T4 f- @( LMultiple response , 多重选项
/ ?) H1 S; q; Q) S: }Multiple solutions, 多解
F& H4 Y7 `& G" [1 uMultiplication theorem, 乘法定理: | a9 U$ c2 H) U7 X9 z
Multiresponse, 多元响应
. p8 o; F' X4 X7 W+ SMulti-stage sampling, 多阶段抽样$ T+ s1 p8 i5 d+ Z5 z- Y
Multivariate T distribution, 多元T分布
8 M% ^+ s: a2 r& jMutual exclusive, 互不相容
! M) @, K% C; F4 z; SMutual independence, 互相独立7 K9 Y9 _9 ?+ J, h D/ w
Natural boundary, 自然边界. K8 g* Q* {8 {+ D$ [8 i
Natural dead, 自然死亡
9 T4 d" m _% S$ V7 J7 \Natural zero, 自然零& ^- b; S' [, n
Negative correlation, 负相关
( C6 W8 K1 L* d( J: iNegative linear correlation, 负线性相关
8 `1 X( g3 B4 [6 n: ?# h9 h) t3 U' r: XNegatively skewed, 负偏9 m( i& J( P7 i4 I
Newman-Keuls method, q检验
+ @: Q/ v* O/ \4 g" YNK method, q检验1 W: h/ ^, e0 B G
No statistical significance, 无统计意义
8 `! d* o2 v& f; H$ WNominal variable, 名义变量0 Q9 Z6 H: X% l' q
Nonconstancy of variability, 变异的非定常性
- @& r8 r) r \1 B9 o0 S$ m. jNonlinear regression, 非线性相关" O& q! |" N* r$ t9 J
Nonparametric statistics, 非参数统计0 s5 b1 R; ` ?, h
Nonparametric test, 非参数检验- D0 N1 f c4 s" p+ G; m |% F/ E6 U, q
Nonparametric tests, 非参数检验
/ B% H2 U; C0 s! O* W. \/ |Normal deviate, 正态离差
5 m$ q- t0 F0 O8 K" eNormal distribution, 正态分布
. L2 v1 m& P; v1 _7 h8 V: n# ONormal equation, 正规方程组2 _' e `; f. T: d
Normal ranges, 正常范围1 d5 E" Q% e+ @" x- S
Normal value, 正常值
" b1 Q5 v9 {' Z1 D2 y; Y' R# iNuisance parameter, 多余参数/讨厌参数% X! [$ g) M w/ u$ h% J
Null hypothesis, 无效假设 ' G4 S% \( t. D
Numerical variable, 数值变量0 C! s5 E9 g( f- F* E) ^9 H- X
Objective function, 目标函数
' m% c, w" q1 u! C- xObservation unit, 观察单位/ l/ E% F/ v7 Y% l0 ]7 U
Observed value, 观察值( ]; W7 x9 J' Z% ~# o& u2 I) ]$ ^! A
One sided test, 单侧检验6 z8 Q z: w- H8 b F) U
One-way analysis of variance, 单因素方差分析
! c) \: @# k Y1 N N! gOneway ANOVA , 单因素方差分析
2 h' u2 {2 l7 Z& c! jOpen sequential trial, 开放型序贯设计
, R3 {$ k9 A) I- m- k6 xOptrim, 优切尾
4 f$ ^7 W( r# f6 T; ^& [$ y, COptrim efficiency, 优切尾效率$ j2 n& P5 { O, y
Order statistics, 顺序统计量% G; Q6 v$ U. e1 ?/ W
Ordered categories, 有序分类
' s- @4 I/ y+ L6 B9 }2 l% _Ordinal logistic regression , 序数逻辑斯蒂回归
( U' Y. _. k3 e! B7 q2 n4 jOrdinal variable, 有序变量
+ _+ p. a* ^ D+ `; kOrthogonal basis, 正交基
$ N& ^9 l6 s; X, X: N: P6 o, ROrthogonal design, 正交试验设计
+ L) R, J2 A) u" N0 V7 {) V: NOrthogonality conditions, 正交条件
: E1 H' [% g! ^. F) L: L0 S" ^- ?ORTHOPLAN, 正交设计 " V; i$ d, J) u1 \' D x0 Z$ a
Outlier cutoffs, 离群值截断点% g6 y: L; v- o) N' T( R; l& K2 n: c
Outliers, 极端值1 ~4 C9 q) u/ Y
OVERALS , 多组变量的非线性正规相关 % u9 L" Y, s& b l. V
Overshoot, 迭代过度
' z; h# w1 K% E; ~7 z' lPaired design, 配对设计" r9 U! T7 d$ f8 @7 {3 B/ }- p. o8 |
Paired sample, 配对样本
1 c7 A% s' K( n% R+ LPairwise slopes, 成对斜率7 Y M( i$ S8 r. ^8 N0 ~
Parabola, 抛物线0 V% g u3 t4 ?* m' d8 o# y. ?
Parallel tests, 平行试验" a( Z$ l+ z9 G, S
Parameter, 参数6 ~+ h% n# F" G
Parametric statistics, 参数统计: u+ f: }* @3 h/ N+ t* \5 D
Parametric test, 参数检验( ~: X. L" a* `
Partial correlation, 偏相关
$ u5 c! e+ l2 fPartial regression, 偏回归
+ c3 M M7 S2 f6 _+ MPartial sorting, 偏排序
0 P! d# F; q. t K. [2 iPartials residuals, 偏残差
' @3 P9 w; w' v2 UPattern, 模式
. I) S; l" I g+ ~; ~+ |& ?Pearson curves, 皮尔逊曲线! a# p9 j+ l2 J6 O
Peeling, 退层
4 E+ z4 \4 O& N# G- i* s+ v3 nPercent bar graph, 百分条形图& F9 p2 F7 ^ U3 e) K8 c1 @* q4 @: O! T% U
Percentage, 百分比) [7 G) V1 X9 o5 L
Percentile, 百分位数, N& \3 k7 Y4 m# H1 {4 e
Percentile curves, 百分位曲线
* @, j; U$ D9 r4 x. y' |Periodicity, 周期性4 Z3 \) i& P9 d' o, h, H2 a5 l2 l
Permutation, 排列
4 |( X9 g7 A& I1 o3 e/ X) G! D- bP-estimator, P估计量
) ?, _7 \# r0 |$ R. {7 ]. d `% m/ A2 oPie graph, 饼图& G9 Y: Q" |0 W$ | n, v: Q+ ]) G& r
Pitman estimator, 皮特曼估计量
" J9 j- N7 K1 D! M6 s4 oPivot, 枢轴量
+ r! i& O" L, Z3 i! H+ uPlanar, 平坦
* L$ X! P5 `1 e; pPlanar assumption, 平面的假设
! Q5 Y/ L: L5 t2 g; F- F+ JPLANCARDS, 生成试验的计划卡 y3 e; B- O& }! J5 p, j
Point estimation, 点估计
+ m: ^% x7 c# E) |. XPoisson distribution, 泊松分布: C2 P9 r; d$ f9 U, M
Polishing, 平滑& E1 O1 \# D. b) C3 v- m& F
Polled standard deviation, 合并标准差& o- f2 m/ p- [# f- C3 {
Polled variance, 合并方差
$ n) i }: X e% C8 A4 u6 s2 aPolygon, 多边图" i% d+ D- N) S6 O
Polynomial, 多项式0 f2 A- `: l' \, y, n
Polynomial curve, 多项式曲线& n7 `' g. y% p$ G; C6 _
Population, 总体
1 w) F' F0 ]' ePopulation attributable risk, 人群归因危险度0 `/ G, h0 V" u% N$ W2 U3 v, @
Positive correlation, 正相关6 {" t( d7 y- p
Positively skewed, 正偏- {( d9 I: ]+ E* Z
Posterior distribution, 后验分布
( |7 }" S+ M8 o6 {, i' b; t/ W. _Power of a test, 检验效能
0 L; [% Q5 L3 M2 B$ |2 Q/ {# e, BPrecision, 精密度
8 A) i) q; I/ ?6 GPredicted value, 预测值
* z0 ]' ~4 f3 H7 ?1 sPreliminary analysis, 预备性分析6 X) _5 ?- N+ k% I, \7 |
Principal component analysis, 主成分分析
' G2 ]- g0 q- F/ E$ WPrior distribution, 先验分布5 W7 _ E1 m! J" i# G
Prior probability, 先验概率0 O4 Q. K( y8 }$ o$ s. a
Probabilistic model, 概率模型
" L, ^& N2 S# B1 {8 u0 R& V1 }# Kprobability, 概率
8 y, W3 h5 |: b# R, `$ hProbability density, 概率密度
. V; [' ?! p. |% C* r% `* C- BProduct moment, 乘积矩/协方差/ O T7 e0 B5 J. W
Profile trace, 截面迹图& Y' L; @6 Z$ z, \1 e7 Q$ X
Proportion, 比/构成比# f9 N5 j- q; n+ k- R' _
Proportion allocation in stratified random sampling, 按比例分层随机抽样& z7 f2 A( A7 L
Proportionate, 成比例
' Z' w6 f8 U% P4 Q" KProportionate sub-class numbers, 成比例次级组含量% J- A6 j+ m3 l9 Z" M
Prospective study, 前瞻性调查1 X `& y( Y+ J3 b l2 L- V
Proximities, 亲近性
4 E" E1 w% A* c' a1 z( hPseudo F test, 近似F检验- j7 A8 R- |" ?* k! N
Pseudo model, 近似模型
3 r' V+ E, o0 f( P% VPseudosigma, 伪标准差
1 p" \0 U1 e& r/ X6 n9 b, KPurposive sampling, 有目的抽样
9 _. e) C) I$ X; y! p# AQR decomposition, QR分解3 R( o! l8 M1 w* P; g, w& j( ?8 W
Quadratic approximation, 二次近似
& Q5 d) V2 X5 W6 k$ s) C- S5 \Qualitative classification, 属性分类
! F* O% {; F: |; _; m: ~ A+ ?) yQualitative method, 定性方法) j9 J/ O" ~, F! U9 O6 j
Quantile-quantile plot, 分位数-分位数图/Q-Q图! z1 b' t7 k7 B' S
Quantitative analysis, 定量分析
* ~9 Y4 l4 m& q% C0 KQuartile, 四分位数
: ~* s' d$ u* d& ?% ^Quick Cluster, 快速聚类
8 P4 J# ~8 n' E6 w# A' HRadix sort, 基数排序
" Z" ^5 j% f8 t" V( p6 x7 }Random allocation, 随机化分组" \$ j+ e: `9 F5 [; P- C% N* s% c3 K
Random blocks design, 随机区组设计4 ~, [9 v+ x) c5 F9 s- u! L& z4 I
Random event, 随机事件
' \7 W6 v/ d9 `) c5 v3 V/ H- C* p2 nRandomization, 随机化
( D& y) |5 L! m3 SRange, 极差/全距
" N: E2 H) [. Q4 t1 u3 ARank correlation, 等级相关
. S) P& u: [) ?! k yRank sum test, 秩和检验
! w: g2 t9 L: b9 T* J I0 VRank test, 秩检验
( W4 P6 h; V& W9 Q* ~6 sRanked data, 等级资料
% q0 @ I8 W: `& v; s: D5 HRate, 比率
- @* }& \/ p5 S7 M5 W6 F2 ]% XRatio, 比例
. a; G! v1 z5 q7 K5 F$ t- n: q1 {Raw data, 原始资料
9 f" S9 M! Z$ t5 m4 Q/ A5 ?Raw residual, 原始残差8 ` ~# X$ w. t/ O! q
Rayleigh's test, 雷氏检验' L& r- D1 ~/ q! T- i0 V2 a
Rayleigh's Z, 雷氏Z值
, Q/ K9 }/ `3 S" ~9 \8 ~Reciprocal, 倒数
! @8 ^$ B2 f' {6 }' ?2 N* ~* QReciprocal transformation, 倒数变换8 |) W6 y! K) w% n
Recording, 记录3 j5 m. @2 H" ]( @8 i
Redescending estimators, 回降估计量
4 x0 g6 w" C' W2 b* H/ i7 k+ TReducing dimensions, 降维6 N4 C' P. L' p. h7 U& g
Re-expression, 重新表达
1 D! R5 u2 K, `Reference set, 标准组8 C5 s4 {+ c# Z, F
Region of acceptance, 接受域7 o+ ~; U/ V/ V( r3 [* ^
Regression coefficient, 回归系数
, Q4 J7 S* s- M3 A0 @3 G/ Z2 tRegression sum of square, 回归平方和
" A" K1 d$ J+ H" N. k9 d" YRejection point, 拒绝点4 ^2 i4 ` q+ d" b, k
Relative dispersion, 相对离散度
3 M1 I R7 e$ n- QRelative number, 相对数
$ W: I p( p8 NReliability, 可靠性
) a5 S. F) H! V; jReparametrization, 重新设置参数7 X1 R: T1 q3 s* C' N- d# P
Replication, 重复% ]8 c3 G" ^3 \3 R9 `
Report Summaries, 报告摘要
]9 h' o1 [$ @% n2 bResidual sum of square, 剩余平方和
4 c% ^1 g4 r L, ?0 G T8 f& fResistance, 耐抗性
1 ?% r' t3 V: ~' N/ o; i: |7 ]Resistant line, 耐抗线. J2 p9 R5 T( {
Resistant technique, 耐抗技术" \/ o! ^7 _ n* j; j
R-estimator of location, 位置R估计量. {- ]; I" f2 \- f4 G# `8 Q0 p" }
R-estimator of scale, 尺度R估计量
: C8 _- B0 ]1 G1 _Retrospective study, 回顾性调查7 n ]3 y& Y! c8 }- E- W
Ridge trace, 岭迹
. W" W" y, r- l$ }Ridit analysis, Ridit分析7 S$ x+ b$ M& k) y7 o" F# p( G
Rotation, 旋转
% P; t( Q: J% k3 }- k7 pRounding, 舍入4 t1 `6 Z& d( O5 E* v" u6 n( b
Row, 行
0 a0 h" b8 L& o8 `3 yRow effects, 行效应
3 `; G3 J+ M4 x5 RRow factor, 行因素6 [ q+ L, S% [6 X- D5 M3 Q1 A2 g; w
RXC table, RXC表, P3 w# g; n5 \
Sample, 样本
3 N' k$ T6 H0 r/ i) w. WSample regression coefficient, 样本回归系数' E$ Q5 }% F, g5 c0 y; I } u
Sample size, 样本量- g5 i A1 S, g) S" G
Sample standard deviation, 样本标准差
4 Z6 ]8 ?$ E3 W6 V! u" K8 aSampling error, 抽样误差4 x+ d) r" ?7 k5 k4 }
SAS(Statistical analysis system ), SAS统计软件包4 {9 d& t! x/ @& L6 L1 m
Scale, 尺度/量表# {5 H' g6 b. O0 P1 _- c# R/ i
Scatter diagram, 散点图8 o+ }( j4 X7 g2 R8 M V
Schematic plot, 示意图/简图4 s( U9 d( R4 |5 n! z7 q
Score test, 计分检验
8 f8 u5 y* q7 c2 [' HScreening, 筛检0 U1 w* i5 ?% y$ t7 H: p) n
SEASON, 季节分析
0 q x' o; O$ ]2 y5 I/ fSecond derivative, 二阶导数# q% }, b4 b$ G+ e R
Second principal component, 第二主成分& s4 V/ B! |7 Z% D
SEM (Structural equation modeling), 结构化方程模型
8 w8 s; p( X( c% Z/ g1 pSemi-logarithmic graph, 半对数图" D4 ~, `6 ?. z
Semi-logarithmic paper, 半对数格纸* `# f( J" c0 f# U$ x
Sensitivity curve, 敏感度曲线
# e9 G; R0 T7 y2 ]$ b) N B% N& jSequential analysis, 贯序分析
3 ?6 D" {3 w' B. H3 E% TSequential data set, 顺序数据集
& s: g6 u: f" t# BSequential design, 贯序设计
6 m% ]' u; b% u# M. }. rSequential method, 贯序法2 w! ^4 h% ` J
Sequential test, 贯序检验法
d3 K9 t2 l* ?7 t$ x x4 x9 FSerial tests, 系列试验
6 ]# A4 L3 G5 ^1 [- j/ EShort-cut method, 简捷法
0 F! `# v' n' u9 K- t" wSigmoid curve, S形曲线* @+ @8 ]- z5 L: s* h1 `, v
Sign function, 正负号函数
3 R% C3 c1 }& n. nSign test, 符号检验
+ c4 l/ W" D. K3 e. c9 {Signed rank, 符号秩% s9 i, O* c& x/ N7 A% i
Significance test, 显著性检验
7 [& N3 j4 l* c# vSignificant figure, 有效数字
! k0 B1 P% m& s- a6 d) @8 }Simple cluster sampling, 简单整群抽样" G; p' y C6 o* u
Simple correlation, 简单相关8 q- }! i+ ^7 i- }7 E
Simple random sampling, 简单随机抽样: ^ d0 p' j' O# M
Simple regression, 简单回归
4 I* ]8 @8 i) `+ i, L* nsimple table, 简单表
+ v5 O4 R/ E: a; C/ K! WSine estimator, 正弦估计量
) R2 a" Y. O) e" S6 ~ DSingle-valued estimate, 单值估计
8 \3 i1 a ^/ ^2 \Singular matrix, 奇异矩阵
8 _) a" J6 O. j7 }+ k( D4 {( E# {Skewed distribution, 偏斜分布8 `* f- S H. @8 q2 v/ y' ~
Skewness, 偏度
: y+ Y/ L- o' kSlash distribution, 斜线分布
/ h- m, a/ X- G( Z. `Slope, 斜率 m& h# T* R# Y0 p! U6 v
Smirnov test, 斯米尔诺夫检验5 \) \6 w& T6 v
Source of variation, 变异来源
+ d* o0 @# @8 h+ k& u2 c/ J JSpearman rank correlation, 斯皮尔曼等级相关
; S8 @/ ~" d4 d3 E1 PSpecific factor, 特殊因子% r% E8 u b$ c& b
Specific factor variance, 特殊因子方差: h8 p7 {9 ~2 c' c8 D
Spectra , 频谱" {# \9 L+ S6 P9 X' a4 Q
Spherical distribution, 球型正态分布. C; a, w; {. v/ A" R9 E
Spread, 展布$ M; g, v- l, p* r0 m. N5 S9 U! R
SPSS(Statistical package for the social science), SPSS统计软件包
% ~5 }# [; x2 _# @1 {; kSpurious correlation, 假性相关
( [) K" B4 w( u! s% {Square root transformation, 平方根变换
# ~9 @; f! [; C' p! T( _- p4 PStabilizing variance, 稳定方差
+ m+ q( x, i: I, WStandard deviation, 标准差
. Q1 S: q5 V, X4 G2 RStandard error, 标准误
/ h& \" ^5 V2 E# A, ^, G7 oStandard error of difference, 差别的标准误# O) z. |( Q; H3 Z4 [
Standard error of estimate, 标准估计误差
& D1 r: R4 M* o! Y5 p2 MStandard error of rate, 率的标准误
' ~8 X4 z" p9 ^; S& }Standard normal distribution, 标准正态分布
. I% O* {9 x: h8 Y. ?6 \. jStandardization, 标准化. V) Z( l. O3 W
Starting value, 起始值. }) \, ^3 c4 J9 f$ n. J z
Statistic, 统计量
Q( A t$ T3 M- K! @Statistical control, 统计控制7 V3 B0 A# a5 s5 e9 U5 Q
Statistical graph, 统计图
# q2 ]% o" k) YStatistical inference, 统计推断
% I0 H! l2 {0 y* H. i6 Y; WStatistical table, 统计表 L2 ?2 H! {. j& X3 C
Steepest descent, 最速下降法: w6 w+ Z* h3 |) ~2 }
Stem and leaf display, 茎叶图. d" Q! o+ z1 r
Step factor, 步长因子0 N" v4 C% o7 ^" _0 k5 u n
Stepwise regression, 逐步回归/ Y6 J; P3 S- Y# U! F
Storage, 存5 ?$ C v0 c" {, |
Strata, 层（复数）$ A. a2 Z5 r2 N m$ X l
Stratified sampling, 分层抽样: f3 R3 ~9 w. X* g& c+ o5 V
Stratified sampling, 分层抽样* L1 `& T9 ~! Z# S( S6 h
Strength, 强度
: X2 j2 M3 I7 @9 h9 PStringency, 严密性; W, {3 O F4 Y3 L
Structural relationship, 结构关系
& {/ J/ [5 Z; u! R) A6 A4 nStudentized residual, 学生化残差/t化残差7 K1 m1 d4 }) l" n
Sub-class numbers, 次级组含量) A3 N# b K- p
Subdividing, 分割2 _. y, }8 \/ H7 Z
Sufficient statistic, 充分统计量# G. S# f1 ^5 b j- M' L* R
Sum of products, 积和
* m% U/ g- ]* o, i7 fSum of squares, 离差平方和
' |+ ]! t. F2 L- G6 U( b& ^% DSum of squares about regression, 回归平方和/ y2 ~1 G2 N1 B" X6 z
Sum of squares between groups, 组间平方和/ t, `+ B5 S3 W; q
Sum of squares of partial regression, 偏回归平方和1 O8 v' P; ~3 o" d& T
Sure event, 必然事件- p G! m- A r2 W/ T- ?& e1 A: ^
Survey, 调查
* L: L5 H/ X4 Z, ~* h/ b+ g5 E# ASurvival, 生存分析
0 L' T3 K& f s$ ^, M2 WSurvival rate, 生存率; \. b- G6 i; r
Suspended root gram, 悬吊根图" R" B% i; t0 b- I; v
Symmetry, 对称7 T3 F9 l6 Z6 n6 I# [
Systematic error, 系统误差0 u7 [, Y' V% f- M
Systematic sampling, 系统抽样$ q& ~$ N' c2 ]3 k$ @
Tags, 标签
8 r( |( }* Q) B$ a8 S; P i! WTail area, 尾部面积0 u( ?; K9 h3 d5 V+ E1 h4 L
Tail length, 尾长
]( Z6 X; L- C2 d! s7 F. ?9 `/ vTail weight, 尾重
9 v8 C$ }! j. i2 ]) ?( y) h! hTangent line, 切线5 a1 V' u/ M5 p0 m0 Y( T3 Z
Target distribution, 目标分布4 M \0 x# d& j+ l; _* y; Q5 O
Taylor series, 泰勒级数8 O# ?6 w2 Z$ f, E* u8 ~) H
Tendency of dispersion, 离散趋势
. K0 o. m. ^+ E0 a% pTesting of hypotheses, 假设检验
; g5 N5 M; t- Q( L% ^Theoretical frequency, 理论频数* O) D% [! g- ^5 E
Time series, 时间序列 P5 q3 X B/ ~9 @' ]3 S5 `& n D
Tolerance interval, 容忍区间
O& n n0 [- I4 d, {5 \. a I: kTolerance lower limit, 容忍下限
( q: p" j) S" ?( O) dTolerance upper limit, 容忍上限
4 Z) o6 z5 M" u' u7 uTorsion, 扰率( c4 H+ ]; J' D6 V" W
Total sum of square, 总平方和
: q% j/ ~* S$ B4 n' `: iTotal variation, 总变异 Y8 q0 w+ ?* W5 n$ r2 n! j
Transformation, 转换9 ^5 ~$ B" A! t0 K+ o* K
Treatment, 处理
+ c% R. \. c o4 t3 D6 sTrend, 趋势
( N7 B4 D' c' }, j& r+ {Trend of percentage, 百分比趋势7 i) P9 P% D& F8 J2 ~
Trial, 试验, K7 \9 i& E1 J [
Trial and error method, 试错法( P* y% B7 I6 g' A6 ]+ \7 s) i% p
Tuning constant, 细调常数) t/ R0 G9 N% q1 A- {
Two sided test, 双向检验
( m: |# x8 n* d, y1 Y6 Y0 ^. ?Two-stage least squares, 二阶最小平方
( p8 {) r* V9 J3 \$ l8 vTwo-stage sampling, 二阶段抽样
L$ b# A) Y4 Y" \; MTwo-tailed test, 双侧检验
( T0 l7 D; {1 O7 \( a! t0 uTwo-way analysis of variance, 双因素方差分析
4 a+ p5 g% u# _# A2 B/ |Two-way table, 双向表8 F3 U+ S! i* F5 ~$ N
Type I error, 一类错误/α错误. m: t. K7 k( w' m2 a j
Type II error, 二类错误/β错误
. A& V/ T: T' I2 d: K9 C1 KUMVU, 方差一致最小无偏估计简称
0 l) Z. G. y/ U6 ~7 _Unbiased estimate, 无偏估计
4 R5 v, P1 z& ~: }; tUnconstrained nonlinear regression , 无约束非线性回归9 G, A- s, z! w9 W1 S
Unequal subclass number, 不等次级组含量3 d! B- |/ Q0 M7 w" z7 N
Ungrouped data, 不分组资料
) J, ], g5 Y S1 mUniform coordinate, 均匀坐标# v6 k, H. J, l9 y9 V7 A
Uniform distribution, 均匀分布( c5 n! p5 l; B W7 U
Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计
2 z0 J, A8 J' i9 m- T0 EUnit, 单元, @% u6 N% a5 _7 j3 q* i1 r7 z
Unordered categories, 无序分类 \, q. X% S6 ]# j- s) l: p* G1 j0 C; s
Upper limit, 上限2 c4 Y6 R' O$ o: z2 N" W& L+ F% ]4 L
Upward rank, 升秩6 K9 ~/ J* }' R. Y
Vague concept, 模糊概念
; g W2 I. _; j# f) UValidity, 有效性
. w1 [3 Z( b7 X8 q- [VARCOMP (Variance component estimation), 方差元素估计
) E7 [9 @$ ^- S* }Variability, 变异性
F* d1 n& |( p% m) s1 l; c' @9 oVariable, 变量6 v' C* u0 j: p+ l
Variance, 方差4 i+ Y, {6 N9 j
Variation, 变异4 G" l+ u& Y& y1 u
Varimax orthogonal rotation, 方差最大正交旋转6 b$ s$ L: x; M. r
Volume of distribution, 容积, Z2 J: ~2 p h. n$ G# x
W test, W检验% r& E$ Y! Z+ X+ E: T$ [ @
Weibull distribution, 威布尔分布/ X1 t) l2 h; U1 w& J
Weight, 权数
" `* L5 c5 E8 N- \Weighted Chi-square test, 加权卡方检验/Cochran检验
9 w) C2 w0 E- A1 `' q: sWeighted linear regression method, 加权直线回归
7 e. O; P8 ^) N w4 W! B: KWeighted mean, 加权平均数+ `2 K( L* T& q/ i
Weighted mean square, 加权平均方差
- [% p- y( {4 \+ J1 iWeighted sum of square, 加权平方和
& q0 I3 h: q, @ qWeighting coefficient, 权重系数
$ W/ V% |0 N4 a4 Z) a. l& u. uWeighting method, 加权法 7 X9 r4 q- w7 F5 G8 l9 Q
W-estimation, W估计量
- v% `: ?1 A/ y% J% T3 BW-estimation of location, 位置W估计量
/ V' g! L; Z+ [Width, 宽度
5 t$ G9 d# }+ LWilcoxon paired test, 威斯康星配对法/配对符号秩和检验0 Q0 T) f: t& b; C. X: H2 ?3 h
Wild point, 野点/狂点* z9 P3 N3 {# G+ P( f
Wild value, 野值/狂值
! y+ H6 u' @/ P5 D( g$ ^, N9 NWinsorized mean, 缩尾均值; ?9 V% s1 I( O4 H6 S4 M
Withdraw, 失访
* Q6 a6 u8 |& T. GYouden's index, 尤登指数
9 }' H) O9 R/ ?1 P9 R; M+ T9 GZ test, Z检验
3 A& l* t9 p6 \8 U4 F8 RZero correlation, 零相关$ b! O" ~ r$ J
Z-transformation, Z变换 |
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发表于 2009-1-6 22:05
