Articles liés à Ranked Set Sampling Models and Methods
Synopsis
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.
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Ranked Set Sampling Models and Methods (Advances in Data Mining and Database Management)
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Engineering Science Reference, 2021
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Ranked Set Sampling Models and Methods (Advances in Data Mining and Database Management)
Edité par
Engineering Science Reference, 2021
ISBN 10 : 1799875563
ISBN 13 : 9781799875567
Neuf
Couverture rigide
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Ranked Set Sampling Models and Methods
Edité par
Engineering Science Reference, 2021
ISBN 10 : 1799875563
ISBN 13 : 9781799875567
Neuf
Couverture rigide
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Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents an innovative look at modelling survey sampling research and new models of RSS, along with its future potential. The book provides a panoramic view of the state of the art of RSS by presenting some previously known and new models.Klappentex. N° de réf. du vendeur 530550663
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Ranked Set Sampling Models and Methods
Edité par
Engineering Science Reference, 2021
ISBN 10 : 1799875563
ISBN 13 : 9781799875567
Neuf
Couverture rigide
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Buch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. N° de réf. du vendeur 9781799875567
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