An empirical likelihood approach to data analysis under two-stage sampling designs

被引：3

作者：

Zheng, Ming ^{[1
]}

Yu, Wen ^{[1
]}

机构：

[1] Fudan Univ, Sch Management, Dept Stat, Shanghai 200433, Peoples R China

来源：

STATISTICS & PROBABILITY LETTERS | 2011年 / 81卷 / 08期

基金：

中国国家自然科学基金;

关键词：

Empirical likelihood; Missing data; Over-identified; Two-stage sampling; Validation sample; IN-COVARIABLES MODELS; VALIDATION DATA; REGRESSION; INFERENCE;

D O I：

10.1016/j.spl.2011.01.011

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

A new empirical likelihood approach is developed to analyze data from two-stage sampling designs, in which a primary sample of rough or proxy measures for the variables of interest and a validation subsample of exact information are available. The validation sample is assumed to be a simple random subsample from the primary one. The proposed empirical likelihood approach is capable of utilizing all the information from both the specific models and the two available samples flexibly. It maintains some nice features of the empirical likelihood method and improves the asymptotic efficiency of the existing inferential procedures. The asymptotic properties are derived for the new approach. Some numerical studies are carried out to assess the finite sample performance. (C) 2011 Elsevier B.V. All rights reserved.

引用

页码：947 / 956

页数：10

共 50 条

[21] An empirical likelihood approach under cluster sampling with missing observations
Berger, Yves G.
ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS, 2020, 72 (01) : 91 - 121
[22] Two-stage maximum likelihood approach for item-level missing data in regression
Lihan Chen
Victoria Savalei
Mijke Rhemtulla
Behavior Research Methods, 2020, 52 : 2306 - 2323
[23] Two-stage maximum likelihood approach for item-level missing data in regression
Chen, Lihan
Savalei, Victoria
Rhemtulla, Mijke
BEHAVIOR RESEARCH METHODS, 2020, 52 (06) : 2306 - 2323
[24] Bayes and Empirical Bayes Two-Stage Procedures for Sampling Inspection
Rau, Re-Bin
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 2009, 38 (06) : 871 - 887
[25] Efficient Robust Regression via Two-Stage Generalized Empirical Likelihood
Bondell, Howard D.
Stefanski, Leonard A.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2013, 108 (502) : 644 - 655
[26] Empirical Studies of a Two-Stage Data Preprocessing Approach for Software Fault Prediction
Liu, Wangshu
Liu, Shulong
Gu, Qing
Chen, Jiaqiang
Chen, Xiang
Chen, Daoxu
IEEE TRANSACTIONS ON RELIABILITY, 2016, 65 (01) : 38 - 53
[27] Estimating confidence intervals and sampling proportions in two-stage prevalence designs
Gambino B.
Journal of Gambling Studies, 1999, 15 (3) : 243 - 245
[28] Two-stage sampling designs for external validation of personal risk models
Whittemore, Alice S.
Halpern, Jerry
STATISTICAL METHODS IN MEDICAL RESEARCH, 2016, 25 (04) : 1313 - 1329
[29] Statistical analysis and considerations of power in the programs evaluation through two-stage sampling designs.
Seco, GV
Hermida, JRF
Villa, RS
PSICOTHEMA, 2003, 15 (02) : 300 - 308
[30] A multiple criteria approach to two-stage data envelopment analysis
Mahdiloo, Mahdi
Jafarzadeh, Abdol Hossein
Saen, Reza Farzipoor
Tatham, Peter
Fisher, Ron
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2016, 46 : 317 - 327

← 1 2 3 4 5 →