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Details for:
Bouza-Herrera C. Ranked Set Sampling Models and Methods 2021
bouza herrera c ranked set sampling models methods 2021
Type:
E-books
Files:
1
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4.9 MB
Uploaded On:
Jan. 29, 2022, 3:50 p.m.
Added By:
andryold1
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Info Hash:
B0CA1B8570FC000C31E4530AB10F8416E9654E24
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Textbook in PDF format 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. Preface Acknowledgment An Improved Estimation of Parameter of Morgenstern-Type Bivariate Exponential Distribution Using Ranked Set Sampling Item Count Technique in Ranked Set Sampling On Estimating Population Means of Two-Sensitive Variables With Ranked Set Sampling Design Ratio-Type Estimation Using Scrabled Auxiliary Variables in Stratification Under Simple Random Sampling and Ranked Set Sampling A Study of Gjestvang and Singh Randomized Response Model Using Ranked Set Sampling On Estimating Population Means of Two-Sensitive Variables With Ranked Set Sampling Design Stratified Ranked Set Sampling (SRSS) for Estimating the Population Mean With Ratio-Type Imputation of the Missing Values A Review of Bootstrap Methods in Ranked Set Sampling Fuzzy-Weighted Ranked Set Sampling Method Stratified Ranked Set Sampling With Missing Observations for Estimating the Difference Compilation of References Related References About the Contributors Index
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Bouza-Herrera C. Ranked Set Sampling Models and Methods 2021.pdf
4.9 MB
