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Effect, 实验效应<G
Eigenvalue, 特征值t=H-
Eigenvector, 特征向量c`zM
Ellipse, 椭圆z,)/<
Empirical distribution, 经验分布J;0^
Empirical probability, 经验概率单位H7
Enumeration data, 计数资料I`%g
Equal sun-class number, 相等次级组含量 ?,
Equally likely, 等可能n^ngpt
Equivariance, 同变性"kg
Error, 误差/错误^X44QD
Error of estimate, 估计误差m#l{;v
Error type I, 第一类错误"O]!G
Error type II, 第二类错误lW
Estimand, 被估量HT=
Estimated error mean squares, 估计误差均方KF
Estimated error sum of squares, 估计误差平方和i'
Euclidean distance, 欧式距离l=U\,I
Event, 事件w1'UW_
Event, 事件[zdd
Exceptional data point, 异常数据点%.e2
Expectation plane, 期望平面:<
Expectation surface, 期望曲面wwY
Expected values, 期望值O
Experiment, 实验I
Experimental sampling, 试验抽样BYz
Experimental unit, 试验单位B(us
Explanatory variable, 说明变量C
Exploratory data analysis, 探索性数据分析}IA
Explore Summarize, 探索-摘要9^
Exponential curve, 指数曲线&!nJxB
Exponential growth, 指数式增长^
EXSMOOTH, 指数平滑方法 ]a~
Extended fit, 扩充拟合)8U&I
Extra parameter, 附加参数U@Dx;f
Extrapolation, 外推法t;AM
Extreme observation, 末端观测值 uQ
Extremes, 极端值/极值)W|
F distribution, F分布o~n
F test, F检验WYKTX8
Factor, 因素/因子D
Factor analysis, 因子分析9eC
Factor Analysis, 因子分析#9gHGd
Factor score, 因子得分(zjH
Factorial, 阶乘f{n
Factorial design, 析因试验设计zYe_g
False negative, 假阴性|aj8\
False negative error, 假阴性错误ki
Family of distributions, 分布族J
Family of estimators, 估计量族$QV?
Fanning, 扇面K["^*
Fatality rate, 病死率26z"K
Field investigation, 现场调查S .3
Field survey, 现场调查8apSs
Finite population, 有限总体MW#
Finite-sample, 有限样本waJ3O
First derivative, 一阶导数 +/W
First principal component, 第一主成分| pmlQ
First quartile, 第一四分位数v8%Dv)
Fisher information, 费雪信息量b!^a
Fitted value, 拟合值T.J
Fitting a curve, 曲线拟合_K}]U
Fixed base, 定基/4)P
Fluctuation, 随机起伏
Forecast, 预测uYD~
Four fold table, 四格表v
Fourth, 四分点Jd8~
Fraction blow, 左侧比率d
Fractional error, 相对误差/0Wq
Frequency, 频率fgH
Frequency polygon, 频数多边图E;^R"
Frontier point, 界限点0[
Function relationship, 泛函关系2
Gamma distribution, 伽玛分布V
Gauss increment, 高斯增量mTbuo
Gaussian distribution, 高斯分布/正态分布JEfo
Gauss-Newton increment, 高斯-牛顿增量OO#:
General census, 全面普查$
GENLOG (Generalized liner models), 广义线性模型 `H
Geometric mean, 几何平均数~
Gini's mean difference, 基尼均差QD
GLM (General liner models), 通用线性模型 ?tdj'
Goodness of fit, 拟和优度/配合度X:`O=
Gradient of determinant, 行列式的梯度Fv<4
Graeco-Latin square, 希腊拉丁方T
Grand mean, 总均值Q
Gross errors, 重大错误*Xo?tF
Gross-error sensitivity, 大错敏感度,:pU=
Group averages, 分组平均\AVJ
Grouped data, 分组资料1L`(@
Guessed mean, 假定平均数f5T[dM
Half-life, 半衰期s}u
Hampel M-estimators, 汉佩尔M估计量m
Happenstance, 偶然事件d,M
Harmonic mean, 调和均数1B9+nD
Hazard function, 风险均数|qQR:
Hazard rate, 风险率2yzZge
Heading, 标目 Cm#sj
Heavy-tailed distribution, 重尾分布t'*%
Hessian array, 海森立体阵r/0J5~
Heterogeneity, 不同质9
Heterogeneity of variance, 方差不齐 zcr
Hierarchical classification, 组内分组:iaM
Hierarchical clustering method, 系统聚类法uC)C~'
High-leverage point, 高杠杆率点?Lm<M&
HILOGLINEAR, 多维列联表的层次对数线性模型Xk
Hinge, 折叶点[
Histogram, 直方图Y4xo5
Historical cohort study, 历史性队列研究 !*
Holes, 空洞J91
HOMALS, 多重响应分析6*0p
Homogeneity of variance, 方差齐性gp
Homogeneity test, 齐性检验vDxOBq
Huber M-estimators, 休伯M估计量F\*
Hyperbola, 双曲线v
Hypothesis testing, 假设检验P)
Hypothetical universe, 假设总体*"
Impossible event, 不可能事件[
Independence, 独立性no
Independent variable, 自变量/~&y3r
Index, 指标/指数-1w7]
Indirect standardization, 间接标准化法UPW'f
Individual, 个体{Ul#[w
Inference band, 推断带pRsU
Infinite population, 无限总体v
Infinitely great, 无穷大\6
Infinitely small, 无穷小R6@}
Influence curve, 影响曲线=w.s&
Information capacity, 信息容量2
Initial condition, 初始条件s
Initial estimate, 初始估计值Tc
Initial level, 最初水平DZnV
Interaction, 交互作用o^a
Interaction terms, 交互作用项+)1P
Intercept, 截距<d;
Interpolation, 内插法4w!$
Interquartile range, 四分位距'~FPH
Interval estimation, 区间估计;5yhN
Intervals of equal probability, 等概率区间p|XMcC
Intrinsic curvature, 固有曲率:0(;4
Invariance, 不变性XC
Inverse matrix, 逆矩阵 .@EA
Inverse probability, 逆概率4mbU
Inverse sine transformation, 反正弦变换Td
Iteration, 迭代 m^ ,@3
Jacobian determinant, 雅可比行列式d}-qdz
Joint distribution function, 分布函数O[.$
Joint probability, 联合概率$#lz\
Joint probability distribution, 联合概率分布 ~P
K means method, 逐步聚类法Ibhh
Kaplan-Meier, 评估事件的时间长度 x:32
Kaplan-Merier chart, Kaplan-Merier图S0M]
Kendall's rank correlation, Kendall等级相关Dw^
Kinetic, 动力学]!_(
Kolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验Q
Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验*OW
Kurtosis, 峰度M
Lack of fit, 失拟$7Rt
Ladder of powers, 幂阶梯3
Lag, 滞后j
Large sample, 大样本LWT }
Large sample test, 大样本检验%{G
Latin square, 拉丁方'
Latin square design, 拉丁方设计K#
Leakage, 泄漏e-
Least favorable configuration, 最不利构形=[ 4v#
Least favorable distribution, 最不利分布xFLHmB
Least significant difference, 最小显著差法Gb0l
Least square method, 最小二乘法6
Least-absolute-residuals estimates, 最小绝对残差估计Z
Least-absolute-residuals fit, 最小绝对残差拟合r
Least-absolute-residuals line, 最小绝对残差线s%
Legend, 图例'.PI
L-estimator, L估计量ciMRm?
L-estimator of location, 位置L估计量I::L?&
L-estimator of scale, 尺度L估计量/\A#
Level, 水平~
Life expectance, 预期期望寿命lU9o[
Life table, 寿命表P6=:\
Life table method, 生命表法`\LLc
Light-tailed distribution, 轻尾分布l;r$.
Likelihood function, 似然函数Mi
Likelihood ratio, 似然比?'hu@
line graph, 线图t'*]
Linear correlation, 直线相关QB
Linear equation, 线性方程@sBj
Linear programming, 线性规划m{>Mu
Linear regression, 直线回归'-:o
Linear Regression, 线性回归N'n-Pv
Linear trend, 线性趋势*bD
Loading, 载荷 E
Location and scale equivariance, 位置尺度同变性(n}_o
Location equivariance, 位置同变性x
Location invariance, 位置不变性b1gh
Location scale family, 位置尺度族fV 5
Log rank test, 时序检验 eGAA
Logarithmic curve, 对数曲线F-_x"@
Logarithmic normal distribution, 对数正态分布x{
Logarithmic scale, 对数尺度l{
Logarithmic transformation, 对数变换4@h
Logic check, 逻辑检查9wu
Logistic distribution, 逻辑斯特分布I
Logit transformation, Logit转换lSS7
LOGLINEAR, 多维列联表通用模型 n'n
Lognormal distribution, 对数正态分布-
Lost function, 损失函数{-%_+
Low correlation, 低度相关p
Lower limit, 下限D
Lowest-attained variance, 最小可达方差#4X_
LSD, 最小显著差法的简称cr
Lurking variable, 潜在变量 ?:`~<i
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