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Ranked Set Sampling Models And Methods Carlos N Bouzaherrera

Name: Ranked Set Sampling Models And Methods Carlos N Bouzaherrera
SKU: BELL-38075228
Price: 31.00 USD
Availability: InStock
Rating: 4.1 (20 reviews)

SKU: BELL-38075228

$ 31.00 ~~$ 45.00~~ (-31%)

4.1

20 reviews

Ranked Set Sampling Models And Methods Carlos N Bouzaherrera instant download after payment.

Publisher: Engineering Science Reference

File Extension: PDF

File size: 4.94 MB

Pages: 276

Author: Carlos N Bouza-Herrera

ISBN: 9781799875567, 9781799875574, 9781799875581, 1799875563, 1799875571, 179987558X

Language: English

Year: 2021

Product desciption

Ranked Set Sampling Models And Methods Carlos N Bouzaherrera by Carlos N Bouza-herrera 9781799875567, 9781799875574, 9781799875581, 1799875563, 1799875571, 179987558X instant download after payment.

When it comes to data collection and analysis, ranked set sampling (RSS) continues to increasingly be the focus of methodological research. This type of sampling is an alternative to simple random sampling and can offer substantial improvements in precision and efficient estimation. There are different methods within RSS that can be further explored and discussed. On top of being efficient, RSS is cost-efficient and can be used in situations where sample units are difficult to obtain. With new results in modeling and applications, and a growing importance in theory and practice, it is essential for modeling to be further explored and developed through research. Ranked Set Sampling Models and Methods presents an innovative look at modeling survey sampling research and new models of RSS along with the future potentials of it. The book provides a panoramic view of the state of the art of RSS by presenting some previously known and new models. The chapters illustrate how the modeling is to be developed and how they improve the efficiency of the inferences. The chapters highlight topics such as bootstrap methods, fuzzy weight ranked set sampling method, item count technique, stratified ranked set sampling, and more. This book is essential for statisticians, social and natural science scientists, physicians and all the persons involved with the use of sampling theory in their research along with practitioners, researchers, academicians, and students interested in the latest models and methods for ranked set sampling.