Singh, S: New Concept for Tuning Design Weights in Survey Sa
Language: English
Published by Elsevier Science, 2015
- Hardcover
- New
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- Title
- Singh, S: New Concept for Tuning Design Weights in Survey Sa
- Author
- Sarjinder Singh|Stephen A. Sedory|Maria Del Mar Rueda|Antonio Arcos|Raghunath Arnab
- Publisher
- Elsevier Science
- Publication year
- 2015
- Condition
- New
- Binding
- Gebunden
- Language
- English
- ISBN 10
- 0081005946
- ISBN 13
- 9780081005941
A New Concept for Tuning Design Weights in Survey Sampling: Jackknifing in Theory and Practice introduces the new concept of tuning design weights in survey sampling by presenting three concepts: calibration, jackknifing, and imputing where needed. This new methodology allows survey statisticians to develop statistical software for analyzing data in a more precisely and friendly way than with existing techniques.
- Explains how to calibrate design weights in survey sampling
- Discusses how Jackknifing is needed in design weights in survey sampling
- Describes how design weights are imputed in survey sampling
"Synopsis" may belong to another edition of this title.
About the Author
Stephen A. Sedory has a Ph.D. degree in Mathematics, and has over 20 years of teaching and research experience at graduate and undergraduate level (Associate Professor of Mathematics, Department of Mathematics, Texas A&M University-Kingsville. Although his previous work is in the field of Topology, he has recently been working in the field of survey sampling. He has introduced the idea of two-step calibration and calibrated maximum likelihood calibration weights jointly with the first author.
Maria Del Mar Rueda is a full-Professor and Director of a research group focusing on design and analysis of sample surveys at the University of Granada, Spain.
Antonio Arcos is an Assistant Professor of Statistics, University of Granada, Spain, and is also working in the same areas of survey sampling. Together with Maria, Antonio is not only an expert in survey sampling, but also in writing codes in R language. All R-codes in this monographs are written by Maria and Antonio. In addition, both have contributed several papers on the calibration technique in survey sampling.
Raghunath Arnab has a Ph.D. in statistics with specialization in survey sampling from the Indian Statistical Institute. He is based at the Dept of Statistics, University of Botswana. He has published very good quality papers in the field of complex survey sampling. His major contribution in this monograph is to check all the theoretical derivations of the results.
"About the title" may belong to another edition of this title.
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