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ISBN 10: 1799875571 ISBN 13: 9781799875574
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ISBN 10: 1799875571 ISBN 13: 9781799875574
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Aggiungi al carrelloCondizione: 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.
Lingua: Inglese
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ISBN 10: 1799875571 ISBN 13: 9781799875574
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Ranked Set Sampling Models and Methods | Carlos N. Bouza-Herrera | Taschenbuch | Kartoniert / Broschiert | Englisch | 2021 | Engineering Science Reference | EAN 9781799875574 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Lingua: Inglese
Editore: Engineering Science Reference, 2021
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Aggiungi al carrelloGebunden. Condizione: 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.
Lingua: Inglese
Editore: Engineering Science Reference, 2021
ISBN 10: 1799875571 ISBN 13: 9781799875574
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 216,40
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Aggiungi al carrelloTaschenbuch. Condizione: 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.
Lingua: Inglese
Editore: Engineering Science Reference, 2021
ISBN 10: 1799875563 ISBN 13: 9781799875567
Da: preigu, Osnabrück, Germania
EUR 233,65
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Aggiungi al carrelloBuch. Condizione: Neu. Ranked Set Sampling Models and Methods | Carlos N. Bouza-Herrera | Buch | Gebunden | Englisch | 2021 | Engineering Science Reference | EAN 9781799875567 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Lingua: Inglese
Editore: Engineering Science Reference, 2021
ISBN 10: 1799875563 ISBN 13: 9781799875567
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 279,24
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Aggiungi al carrelloBuch. Condizione: 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.