Singh / Sedory / Rueda | A New Concept for Tuning Design Weights in Survey Sampling | E-Book | sack.de
E-Book

E-Book, Englisch, 316 Seiten

Singh / Sedory / Rueda A New Concept for Tuning Design Weights in Survey Sampling

Jackknifing in Theory and Practice
1. Auflage 2015
ISBN: 978-0-08-100595-8
Verlag: Elsevier Science & Techn.
Format: EPUB
Kopierschutz: 6 - ePub Watermark

Jackknifing in Theory and Practice

E-Book, Englisch, 316 Seiten

ISBN: 978-0-08-100595-8
Verlag: Elsevier Science & Techn.
Format: EPUB
Kopierschutz: 6 - ePub Watermark



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

Sarjinder Singh has a Ph.D. degree in statistics specializing in the field of survey sampling. Associate professor of mathematics and statistics, Texas A&M University - Kingsville (h index 11). He is a founder of higher order calibration technique in survey sampling. His first paper on this topic was published in the journal Survey Methodology, Statistics Canada, during 1998. Later he published numerous papers on calibration technique, and this monograph is also based on calibration techniques but with a different aspect. He is also pioneer founder of a dual problem of calibration published in highly respectable journal Statistics-A Journal of Theoretical and Applied Statistics. He also introduced the pioneering idea of calibration using displacement function and published in an prestigious journal, Metrika. He has published over 150 research papers in the field of survey sampling.

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