Generalized Order Statistics Under Finite Mixture Models: Asymptotic Theory and Applications - Couverture souple
Synopsis
Finite mixture models have provided a mathematical-based approach in statistical modeling in a wide variety of random phenomena. FMM have been applied in astronomy, biology, genetic, medicine, psychiatry, economics, engineering and marketing, among many other fields in the biological, physical and social science. Kamps suggested a new theoretical approach, which is called generalized order statistics (GOS). This new model includes ordinary order statistics, sequential order statistics, progressive order statistics and record value. The main purpose of this book is to investigate the asymptotic behavior of the ordinary order statistics, generalized order statistics and dual generalized order statistics based on a random sample drawn from a finite mixture population with k components under general normalization. I obtain a sufficient conditions for this weak convergence, as well as the limit forms. Sufficient conditions are given to guarantee the existence of the weak convergence to non-degenerate distribution when the components are normalized by different normalization constants (linear-nonlinear). Illustrative examples of the most practically important distributions are obtained.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Department of Mathematics, Faculty of Science, Zagazig University, Zagazig, Egypt. Dr. ELsawah research interests: Order Statistics and It's Application, Design and Modeling for Computer Experiments and Statistical Machine Learning. For more information, please visit Dr. Ahmed ELsawah web page: http://www.staff.zu.edu.eg/a.elsawah/page.aspid=43
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Generalized Order Statistics Under Finite Mixture Models Asymptotic Theory and Applications
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LAP LAMBERT Academic Publishing, 2014
ISBN 10 : 3659286060
ISBN 13 : 9783659286063
Neuf
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Generalized Order Statistics Under Finite Mixture Models Asymptotic Theory and Applications
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LAP LAMBERT Academic Publishing, 2014
ISBN 10 : 3659286060
ISBN 13 : 9783659286063
Neuf
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Generalized Order Statistics Under Finite Mixture Models: Asymptotic Theory and Applications
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LAP LAMBERT Academic Publishing 2014-03-18, 2014
ISBN 10 : 3659286060
ISBN 13 : 9783659286063
Neuf
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Generalized Order Statistics Under Finite Mixture Models
Edité par
LAP LAMBERT Academic Publishing Mär 2014, 2014
ISBN 10 : 3659286060
ISBN 13 : 9783659286063
Neuf
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Finite mixture models have provided a mathematical-based approach in statistical modeling in a wide variety of random phenomena. FMM have been applied in astronomy, biology, genetic, medicine, psychiatry, economics, engineering and marketing, among many other fields in the biological, physical and social science. Kamps suggested a new theoretical approach, which is called generalized order statistics (GOS). This new model includes ordinary order statistics, sequential order statistics, progressive order statistics and record value. The main purpose of this book is to investigate the asymptotic behavior of the ordinary order statistics, generalized order statistics and dual generalized order statistics based on a random sample drawn from a finite mixture population with k components under general normalization. I obtain a sufficient conditions for this weak convergence, as well as the limit forms. Sufficient conditions are given to guarantee the existence of the weak convergence to non-degenerate distribution when the components are normalized by different normalization constants (linear-nonlinear). Illustrative examples of the most practically important distributions are obtained. 120 pp. Englisch. N° de réf. du vendeur 9783659286063
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Generalized Order Statistics Under Finite Mixture Models
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Generalized Order Statistics Under Finite Mixture Models
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LAP LAMBERT Academic Publishing, 2014
ISBN 10 : 3659286060
ISBN 13 : 9783659286063
Neuf
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: ELsawah A. M.Department of Mathematics, Faculty of Science, Zagazig University, Zagazig, Egypt. Dr. ELsawah research interests: Order Statistics and It s Application, Design and Modeling for Computer Experiments and Statistical Machi. N° de réf. du vendeur 5145761
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Generalized Order Statistics Under Finite Mixture Models
Edité par
VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2014
ISBN 10 : 3659286060
ISBN 13 : 9783659286063
Neuf
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Generalized Order Statistics Under Finite Mixture Models
Edité par
VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2014
ISBN 10 : 3659286060
ISBN 13 : 9783659286063
Neuf
Couverture souple
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Generalized Order Statistics Under Finite Mixture Models
Edité par
LAP LAMBERT Academic Publishing Mär 2014, 2014
ISBN 10 : 3659286060
ISBN 13 : 9783659286063
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Finite mixture models have provided a mathematical-based approach in statistical modeling in a wide variety of random phenomena. FMM have been applied in astronomy, biology, genetic, medicine, psychiatry, economics, engineering and marketing, among many other fields in the biological, physical and social science. Kamps suggested a new theoretical approach, which is called generalized order statistics (GOS). This new model includes ordinary order statistics, sequential order statistics, progressive order statistics and record value. The main purpose of this book is to investigate the asymptotic behavior of the ordinary order statistics, generalized order statistics and dual generalized order statistics based on a random sample drawn from a finite mixture population with k components under general normalization. I obtain a sufficient conditions for this weak convergence, as well as the limit forms. Sufficient conditions are given to guarantee the existence of the weak convergence to non-degenerate distribution when the components are normalized by different normalization constants (linear-nonlinear). Illustrative examples of the most practically important distributions are obtained.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 120 pp. Englisch. N° de réf. du vendeur 9783659286063
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Generalized Order Statistics Under Finite Mixture Models : Asymptotic Theory and Applications
Edité par
LAP LAMBERT Academic Publishing, 2014
ISBN 10 : 3659286060
ISBN 13 : 9783659286063
Neuf
Taschenbuch
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Finite mixture models have provided a mathematical-based approach in statistical modeling in a wide variety of random phenomena. FMM have been applied in astronomy, biology, genetic, medicine, psychiatry, economics, engineering and marketing, among many other fields in the biological, physical and social science. Kamps suggested a new theoretical approach, which is called generalized order statistics (GOS). This new model includes ordinary order statistics, sequential order statistics, progressive order statistics and record value. The main purpose of this book is to investigate the asymptotic behavior of the ordinary order statistics, generalized order statistics and dual generalized order statistics based on a random sample drawn from a finite mixture population with k components under general normalization. I obtain a sufficient conditions for this weak convergence, as well as the limit forms. Sufficient conditions are given to guarantee the existence of the weak convergence to non-degenerate distribution when the components are normalized by different normalization constants (linear-nonlinear). Illustrative examples of the most practically important distributions are obtained. N° de réf. du vendeur 9783659286063
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