ENGLISH

Ranked Set Sampling Models and Methods

By Carlos N Bouza-Herrera

Book information

Publisher
Engineering Science Reference
Year
2021
ISBN
1799875563, 9781799875567
Language
english
Format
PDF
Filesize
5 MB (5175926 bytes)
Series
Advances in Data Mining and Database Management
Pages
276\296
Topic
Computers
Time added
2022-01-27 13:35:27

Description

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. Cover Title Page Copyright Page Book Series Table of Contents Detailed Table of Contents Preface Acknowledgment Chapter 1: An Improved Estimation of Parameter of Morgenstern-Type Bivariate Exponential Distribution Using Ranked Set Sampling Chapter 2: Item Count Technique in Ranked Set Sampling Chapter 3: On Estimating Population Means of Two-Sensitive Variables With Ranked Set Sampling Design Chapter 4: Ratio-Type Estimation Using Scrabled Auxiliary Variables in Stratification Under Simple Random Sampling and Ranked Set Sampling Chapter 5: A Study of Gjestvang and Singh Randomized Response Model Using Ranked Set Sampling Chapter 6: On Estimating Population Means of Two-Sensitive Variables With Ranked Set Sampling Design Chapter 7: Stratified Ranked Set Sampling (SRSS) for Estimating the Population Mean With Ratio-Type Imputation of the Missing Values Chapter 8: A Review of Bootstrap Methods in Ranked Set Sampling Chapter 9: Fuzzy-Weighted Ranked Set Sampling Method Chapter 10: Stratified Ranked Set Sampling With Missing Observations for Estimating the Difference Compilation of References Related References About the Contributors Index

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