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Multivariate Order Statistics Under Random Sample Size: Asymptotic Behavior of Identical and Nonidentical - Softcover
Inhaltsangabe
Most of the observable phenomena in the empirical sciences are of a multivariate nature. In financial studies, assets in stock markets are observed simultaneously and their joint development is analyzed to better understand general tendencies and to track indices. In medicine recorded observations of subjects in different locations are the basis of reliable diagnoses and medication. In quantitative marketing consumer preferences are collected in order to construct models of consumer behavior. The underlying theoretical structure of these and many other quantitative studies of applied sciences is multivariate. In this book, we study the asymptotic behavior of multivariate extreme of order statistics from independent and identical random vectors also the asymptotic behavior of the random maximum of independent and non-identical random vectors with random sample size. When the random sample size is assumed to be independent of the basic variables and its distribution function is assumed to converge weakly to a non-degenerate limit, the necessary and sufficient conditions for the weak convergence of the random maximum are derived.
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Most of the observable phenomena in the empirical sciences are of a multivariate nature. In financial studies, assets in stock markets are observed simultaneously and their joint development is analyzed to better understand general tendencies and to track indices. In medicine recorded observations of subjects in different locations are the basis of reliable diagnoses and medication. In quantitative marketing consumer preferences are collected in order to construct models of consumer behavior. The underlying theoretical structure of these and many other quantitative studies of applied sciences is multivariate. In this book, we study the asymptotic behavior of multivariate extreme of order statistics from independent and identical random vectors also the asymptotic behavior of the random maximum of independent and non-identical random vectors with random sample size. When the random sample size is assumed to be independent of the basic variables and its distribution function is assumed to converge weakly to a non-degenerate limit, the necessary and sufficient conditions for the weak convergence of the random maximum are derived.
Biografía del autor
Department of Mathematics, Faculty of Science, Zagazig University, Zagazig, Egypt. Alawady and Elsawah research interests: Order Statistics and it's Applications, Design and Modelling for Computer Experiments, Optimal Uniform Designs. Corresponding author informations, please visit Dr. Ahmed Elsawah web page: http://www.staff.zu.edu.eg/a.elsawah
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Multivariate Order Statistics Under Random Sample Size
Verlag:
LAP LAMBERT Academic Publishing Okt 2014, 2014
ISBN 10: 3659545635
ISBN 13: 9783659545634
Neu
Taschenbuch
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Most of the observable phenomena in the empirical sciences are of a multivariate nature. In financial studies, assets in stock markets are observed simultaneously and their joint development is analyzed to better understand general tendencies and to track indices. In medicine recorded observations of subjects in different locations are the basis of reliable diagnoses and medication. In quantitative marketing consumer preferences are collected in order to construct models of consumer behavior. The underlying theoretical structure of these and many other quantitative studies of applied sciences is multivariate. In this book, we study the asymptotic behavior of multivariate extreme of order statistics from independent and identical random vectors also the asymptotic behavior of the random maximum of independent and non-identical random vectors with random sample size. When the random sample size is assumed to be independent of the basic variables and its distribution function is assumed to converge weakly to a non-degenerate limit, the necessary and sufficient conditions for the weak convergence of the random maximum are derived. 140 pp. Englisch. Bestandsnummer des Verkäufers 9783659545634
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Multivariate Order Statistics Under Random Sample Size
Verlag:
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ISBN 10: 3659545635
ISBN 13: 9783659545634
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Multivariate Order Statistics Under Random Sample Size
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LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3659545635
ISBN 13: 9783659545634
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Multivariate Order Statistics Under Random Sample Size
Verlag:
LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3659545635
ISBN 13: 9783659545634
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Multivariate Order Statistics Under Random Sample Size
Verlag:
LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3659545635
ISBN 13: 9783659545634
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Alawady M. A.Department of Mathematics, Faculty of Science, Zagazig University, Zagazig, Egypt. Alawady and Elsawah research interests: Order Statistics and it s Applications, Design and Modelling for Computer Experiments, Optimal Un. Bestandsnummer des Verkäufers 5163811
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Multivariate Order Statistics Under Random Sample Size
Verlag:
LAP LAMBERT Academic Publishing Okt 2014, 2014
ISBN 10: 3659545635
ISBN 13: 9783659545634
Neu
Taschenbuch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Most of the observable phenomena in the empirical sciences are of a multivariate nature. In financial studies, assets in stock markets are observed simultaneously and their joint development is analyzed to better understand general tendencies and to track indices. In medicine recorded observations of subjects in different locations are the basis of reliable diagnoses and medication. In quantitative marketing consumer preferences are collected in order to construct models of consumer behavior. The underlying theoretical structure of these and many other quantitative studies of applied sciences is multivariate. In this book, we study the asymptotic behavior of multivariate extreme of order statistics from independent and identical random vectors also the asymptotic behavior of the random maximum of independent and non-identical random vectors with random sample size. When the random sample size is assumed to be independent of the basic variables and its distribution function is assumed to converge weakly to a non-degenerate limit, the necessary and sufficient conditions for the weak convergence of the random maximum are derived.Books on Demand GmbH, Überseering 33, 22297 Hamburg 140 pp. Englisch. Bestandsnummer des Verkäufers 9783659545634
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Multivariate Order Statistics Under Random Sample Size : Asymptotic Behavior of Identical and Nonidentical
Verlag:
LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3659545635
ISBN 13: 9783659545634
Neu
Taschenbuch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Most of the observable phenomena in the empirical sciences are of a multivariate nature. In financial studies, assets in stock markets are observed simultaneously and their joint development is analyzed to better understand general tendencies and to track indices. In medicine recorded observations of subjects in different locations are the basis of reliable diagnoses and medication. In quantitative marketing consumer preferences are collected in order to construct models of consumer behavior. The underlying theoretical structure of these and many other quantitative studies of applied sciences is multivariate. In this book, we study the asymptotic behavior of multivariate extreme of order statistics from independent and identical random vectors also the asymptotic behavior of the random maximum of independent and non-identical random vectors with random sample size. When the random sample size is assumed to be independent of the basic variables and its distribution function is assumed to converge weakly to a non-degenerate limit, the necessary and sufficient conditions for the weak convergence of the random maximum are derived. Bestandsnummer des Verkäufers 9783659545634
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