Merging data from multiple sources: pretest and shrinkage perspectives-Reference-Cited by-同舟云学术

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Merging data from multiple sources: pretest and shrinkage perspectives

Published:2017-01-12 Issue:8 Volume:87 Page:1577-1592
ISSN:0094-9655
Container-title:Journal of Statistical Computation and Simulation
language:en
Short-container-title:Journal of Statistical Computation and Simulation

Author:

Shah Muhammad Kashif Ali¹²,Lisawadi Supranee¹,Ejaz Ahmed S.³

Affiliation:

1. Department of Mathematics and Statistics, Faculty of Science and Technology, Thammasat University, Khlong Luang, Thailand

2. Department of Statistics, GC University Lahore, Lahore, Pakistan

3. Department of Mathematics and Statistics, Brock University, St. Catharines, Ontario, Canada

Funder

Thammasat University

Publisher

Informa UK Limited

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,Modeling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/00949655.2016.1277427

Reference17 articles.

1. Theory of Preliminary Test and Stein-Type Estimation With Applications

2. Penalty, Shrinkage and Pretest Strategies

3. Pooling multivariate data

4. Improved biased estimation in an ANOVA model

5. Performance of Preliminary Test Estimator Under Linex Loss Function

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1. Simultaneous Estimation of Skewness Parameters;Lecture Notes on Data Engineering and Communications Technologies;2024

2. Simultaneous estimation of log-normal coefficients of variation: Shrinkage and pretest strategies;MethodsX;2023

3. Pretest and shrinkage estimators for log-normal means;Computational Statistics;2022-10-08

4. A comparison of preliminary test, Stein-type and penalty estimators in gamma regression model;Journal of Statistical Computation and Simulation;2020-07-27

5. Stein‐type shrinkage estimators in gamma regression model with application to prostate cancer data;Statistics in Medicine;2019-07-17

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