このページのリンク

<電子ブック>
Ranked Set Sampling : Theory and Applications / by Zehua Chen, Zhidong Bai, Bimal Sinha
(Lecture Notes in Statistics. ISSN:21977186 ; 176)

1st ed. 2004.
出版者 (New York, NY : Springer New York : Imprint: Springer)
出版年 2004
大きさ XII, 227 p : online resource
著者標目 *Chen, Zehua author
Bai, Zhidong author
Sinha, Bimal author
SpringerLink (Online service)
件 名 LCSH:Statistics 
FREE:Statistical Theory and Methods
一般注記 1 Introduction -- 2 Balanced Ranked Set Sampling I: Nonparametric -- 3 Balanced Ranked Set Sampling II: Parametric -- 4 Unbalanced Ranked Set Sampling and Optimal Designs -- 5 Distribution-Free Tests with Ranked Set Sampling -- 6 Ranked Set Sampling with Concomitant Variables -- 7 Ranked Set Sampling as Data Reduction Tools -- 8 Case Studies -- References
This is the first book on the concept and applications of ranked set sampling. It provides a comprehensive review of the literature, and it includes many new results and novel applications. Scientists and researchers on this subject will find a balanced presentation of theory and applications. The mathematical rigor of the theoretical foundations makes it beneficial to researchers. The detailed description of various methods illustrated by real or simulated data makes it useful for scientists and practitioners in application areas such as agriculture, forestry, sociology, ecological and environmental science, and medical studies. It can serve as a reference book and as a textbook for a short course at the graduate level. Zehua Chen is Associate Professor of Statistics at the National University of Singapore. Zhidong Bai is Professor of Statistics at the National University of Singapore; he is a Fellow of the Institute of Mathematical Statistics. Bimal Sinha is the Presidential Research Professor at University of Maryland Baltimore County; he is a Fellow of the Institute of Mathematical Statistics and the American Statistical Association
HTTP:URL=https://doi.org/10.1007/978-0-387-21664-5
目次/あらすじ

所蔵情報を非表示

電子ブック オンライン 電子ブック

Springer eBooks 9780387216645
電子リソース
EB00203408

書誌詳細を非表示

データ種別 電子ブック
分 類 LCC:QA276-280
DC23:519.5
書誌ID 4000104406
ISBN 9780387216645

 類似資料