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An information-theoretic approach to the effective usage of auxiliary information from survey data
  • ISSN号：0020-3157
  • 期刊名称：Annals of the Institute of Statistical Mathematics
  • 时间：0
  • 页码：499-509
  • 语言：英文
  • 相关项目：一些广泛类型最优因析设计构造和分析的进一步研究
作者： Zhang, Runchu|Wu, Changchun|
同期刊论文项目
一些广泛类型最优因析设计构造和分析的进一步研究
期刊论文 33
同项目期刊论文
Optimal criteria and equivalence for nonregular fractional factorial designs
Characterization of minimum aberration mixed factorials in terms of consulting designs
Weak minimum aberration and maximum number of clear two-factor interactions in 2(IV)(m-p) designs
Choice of optimal initial designs in sequential experiments
2_(IV)~(m-p)设计的弱最小低阶混杂与最多纯净两因子交互效应
用参照设计刻画最小附加混杂部分因析裂区设计
高维数据判别分析中的特征选择
Some results on blocked regular 2-level fractional factorial designs with clear effects
A note on minimum aberration and clear criteria
Bounds on the maximum numbers of clear two-factor interactions for 2((n1+n2)-(k1+k2)) fractional fac
2(n1+n2)-(k1+k2) Fractional factorial split-plot designs containing clear effects
2~((n_1+n_2)-(k_1+k_2))部分因析裂区设计中纯净两因子交互效应的最大数目的界
A method for screening active effects in supersaturated designs
The asymptotic distributions of empirical likelihood ratio statistics in the presence of measurement
Asymmetrical factorial designs containing clear effects
含有纯净两因子交互作用成分的4~m2~n设计的某些结果
Construction of multi-level supersaturated design via Kronecker product
Construction of fractional factorial split-plot designs with weak minimum aberration
2(m) 4(1) designs with minimum aberration or weak minimum aberration
Empirical likelihood for the two-sample mean problem
BOUND ON THE MAXIMUM NUMBER OF CLEAR TWO-FACTOR INTERACTIONS FOR 2(n-(n-k)) DESIGNS
Inference for normal mixtures in mean and variance
Empirical likelihood ratio test for a change-point in linear regression model
3水平因析设计的某些结果
A NOTE ON 2IV^m-p DESIGNS WITH THE MAXIMUM NUMBER OF CLEAR TWO-FACTOR INTERACTIONS
利用调查数据中完全辅助信息的广义模型校正方法
A Model-calibration Approach to Using Complete Auxiliary Information from Stratified Sampling Survey Data
抽样调查中的最优广义校正估计
利用完全辅助信息的模型校正信息论方法