A hybrid approach for regression analysis with block missing data-Reference-Cited by-同舟云学术

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A hybrid approach for regression analysis with block missing data

Published:2014-07 Issue: Volume:75 Page:239-247
ISSN:0167-9473
Container-title:Computational Statistics & Data Analysis
language:en
Short-container-title:Computational Statistics & Data Analysis

Author:

Li Zhengbang,Li Qizhai,Han Chien-Pai,Li Bo

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computational Mathematics,Statistics and Probability

Reference20 articles.

1. Missing observations in multivariate statistics. I. Review of the literature;Afifi;J. Amer. Statist. Assoc.,1966

2. Maximum likelihood estimates for a multivariate normal distribution when some observations are missing;Anderson;J. Amer. Statist. Assoc.,1957

3. A test of missing completely at random for generalised estimating equations with missing data;Chen;Biometrika,1999

4. Maximum likelihood estiamtes for a bivariate normal distribution with missing data;Dahiya;Ann. Statist.,1980

5. Maximum likelihood from incomplete data via the EM algorithm;Dempster;J. R. Stat. Soc. Ser. B Methodol.,1977

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Bayesian-Frequentist Hybrid Inference in Applications with Small Sample Sizes;The American Statistician;2022-10-28

2. Imputed Factor Regression for High-dimensional Block-wise Missing Data;Statistica Sinica;2020

3. Method to Design Pattern Classification Model with Block Missing Training Data;International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems;2019-12

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