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  • Sprache: Englisch

    Verlag: Springer, 2022

    3031121031 / 9783031121036

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  • Sprache: Englisch

    Verlag: Springer, 2023

    3031121066 / 9783031121067

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  • Sprache: Englisch

    Verlag: Springer, 2022

    3031121031 / 9783031121036

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    Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 288 | Sprache: Englisch | Produktart: Bücher | This book emphasizes the use of stochastic orders as motivational tools for developing new statistical procedures. Stochastic orders have found useful applications in many disciplines, including reliability theory, survival analysis, risk theory, finance, nonparametric methods, economics and actuarial science. Written by a statistician, this volume clarifies the connection between stochastic orders and nonparametric methods.The importance of order statistics and spacings is well recognized. Classically, they mainly focus on the case when the observations are independent and identically distributed, however, several new developments have extended the comparison of order statistics to the case of non-identically distributed or non-independent observations. In addition to giving a detailed discussion of various topics in the general area of stochastic orders, a substantial part of the book is devoted to recent research on stochastic comparisons of order statistics andspacings, including a long chapter on dependence among them. The book will be useful for graduate students and researchers in statistics, economics, actuarial science and other related disciplines. In particular, with close to 300 references, it will be a valuable resource for reliability theorists, applied probabilists and statisticians. Readers are expected to have taken a first-year graduate level course in mathematical statistics or in applied probability.

  • Sprache: Englisch

    Verlag: Springer, 2022

    3031121031 / 9783031121036

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  • Sprache: Englisch

    Verlag: Springer, 2022

    3031121031 / 9783031121036

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    Sprache: Englisch

    Verlag: Springer, 2023

    3031121066 / 9783031121067

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    Taschenbuch. Zustand: Neu. Stochastic Comparisons with Applications | In Order Statistics and Spacings | Subhash C. Kochar | Taschenbuch | xvi | Englisch | 2023 | Springer | EAN 9783031121067 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

  • Sprache: Englisch

    Verlag: Springer Nature, 2023

    3031121066 / 9783031121067

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    Paperback. Zustand: Brand New. 288 pages. 9.26x6.10x0.75 inches. In Stock.

  • Sprache: Englisch

    Verlag: Springer Nature, 2022

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  • Sprache: Englisch

    Verlag: Springer, 2022

    3031121031 / 9783031121036

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  • Sprache: Englisch

    Verlag: Springer, 2023

    3031121066 / 9783031121067

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    Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book emphasizes the use of stochastic orders as motivational tools for developing new statistical procedures. Stochastic orders have found useful applications in many disciplines, including reliability theory, survival analysis, risk theory, finance, nonparametric methods, economics and actuarial science. Written by a statistician, this volume clarifies the connection between stochastic orders and nonparametric methods.The importance of order statistics and spacings is well recognized. Classically, they mainly focus on the case when the observations are independent and identically distributed, however, several new developments have extended the comparison of order statistics to the case of non-identically distributed or non-independent observations. In addition to giving a detailed discussion of various topics in the general area of stochastic orders, a substantial part of the book is devoted to recent research on stochastic comparisons of order statistics andspacings, including a long chapter on dependence among them. The book will be useful for graduate students and researchers in statistics, economics, actuarial science and other related disciplines. In particular, with close to 300 references, it will be a valuable resource for reliability theorists, applied probabilists and statisticians.Readers are expected to have taken a first-year graduate level course in mathematical statistics or in applied probability.

  • Sprache: Englisch

    Verlag: Springer, 2022

    3031121031 / 9783031121036

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    Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book emphasizes the use of stochastic orders as motivational tools for developing new statistical procedures. Stochastic orders have found useful applications in many disciplines, including reliability theory, survival analysis, risk theory, finance, nonparametric methods, economics and actuarial science. Written by a statistician, this volume clarifies the connection between stochastic orders and nonparametric methods.The importance of order statistics and spacings is well recognized. Classically, they mainly focus on the case when the observations are independent and identically distributed, however, several new developments have extended the comparison of order statistics to the case of non-identically distributed or non-independent observations. In addition to giving a detailed discussion of various topics in the general area of stochastic orders, a substantial part of the book is devoted to recent research on stochastic comparisons of order statistics andspacings, including a long chapter on dependence among them. The book will be useful for graduate students and researchers in statistics, economics, actuarial science and other related disciplines. In particular, with close to 300 references, it will be a valuable resource for reliability theorists, applied probabilists and statisticians.Readers are expected to have taken a first-year graduate level course in mathematical statistics or in applied probability.

  • Sprache: Englisch

    Verlag: Springer, 2023

    3031121066 / 9783031121067

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  • Sprache: Englisch

    Verlag: Springer, 2022

    3031121031 / 9783031121036

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  • Sprache: Englisch

    Verlag: Springer International Publishing Okt 2023, 2023

    3031121066 / 9783031121067

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    Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book emphasizes the use of stochastic orders as motivational tools for developing new statistical procedures. Stochastic orders have found useful applications in many disciplines, including reliability theory, survival analysis, risk theory, finance, nonparametric methods, economics and actuarial science. Written by a statistician, this volume clarifies the connection between stochastic orders and nonparametric methods.The importance of order statistics and spacings is well recognized. Classically, they mainly focus on the case when the observations are independent and identically distributed, however, several new developments have extended the comparison of order statistics to the case of non-identically distributed or non-independent observations. In addition to giving a detailed discussion of various topics in the general area of stochastic orders, a substantial part of the book is devoted to recent research on stochastic comparisons of order statistics and spacings, including a long chapter on dependence among them. The book will be useful for graduate students and researchers in statistics, economics, actuarial science and other related disciplines. In particular, with close to 300 references, it will be a valuable resource for reliability theorists, applied probabilists and statisticians.Readers are expected to have taken a first-year graduate level course in mathematical statistics or in applied probability. 288 pp. Englisch.

  • Sprache: Englisch

    Verlag: Springer International Publishing Okt 2022, 2022

    3031121031 / 9783031121036

    • Hardcover
    • Print-on-Demand

    Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, DeutschlandBuchWeltWeit Ludwig Meier e.K.

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    Buch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book emphasizes the use of stochastic orders as motivational tools for developing new statistical procedures. Stochastic orders have found useful applications in many disciplines, including reliability theory, survival analysis, risk theory, finance, nonparametric methods, economics and actuarial science. Written by a statistician, this volume clarifies the connection between stochastic orders and nonparametric methods.The importance of order statistics and spacings is well recognized. Classically, they mainly focus on the case when the observations are independent and identically distributed, however, several new developments have extended the comparison of order statistics to the case of non-identically distributed or non-independent observations. In addition to giving a detailed discussion of various topics in the general area of stochastic orders, a substantial part of the book is devoted to recent research on stochastic comparisons of order statistics and spacings, including a long chapter on dependence among them. The book will be useful for graduate students and researchers in statistics, economics, actuarial science and other related disciplines. In particular, with close to 300 references, it will be a valuable resource for reliability theorists, applied probabilists and statisticians.Readers are expected to have taken a first-year graduate level course in mathematical statistics or in applied probability. 288 pp. Englisch.

  • Sprache: Englisch

    Verlag: Springer International Publishing, 2023

    3031121066 / 9783031121067

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    Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Discusses stochastic orders and dependence among order statistics and spacingsProvides numerous illustrative applicationsIncludes over 300 references on the topicSubhash C. Kochar currently teaches at Portland State University. He h.

  • Sprache: Englisch

    Verlag: Springer, Berlin|Springer International Publishing|Springer, 2022

    3031121031 / 9783031121036

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    Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book emphasizes the use of stochastic orders as motivational tools for developing new statistical procedures. Stochastic orders have found useful applications in many disciplines, including reliability theory, survival analysis, risk theory, finance.

  • Sprache: Englisch

    Verlag: Springer, 2022

    3031121031 / 9783031121036

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  • Sprache: Englisch

    Verlag: Springer, Springer International Publishing Okt 2022, 2022

    3031121031 / 9783031121036

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    Buch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book emphasizes the use of stochastic orders as motivational tools for developing new statistical procedures. Stochastic orders have found useful applications in many disciplines, including reliability theory, survival analysis, risk theory, finance, nonparametric methods, economics and actuarial science. Written by a statistician, this volume clarifies the connection between stochastic orders and nonparametric methods.The importance of order statistics and spacings is well recognized. Classically, they mainly focus on the case when the observations are independent and identically distributed, however, several new developments have extended the comparison of order statistics to the case of non-identically distributed or non-independent observations. In addition to giving a detailed discussion of various topics in the general area of stochastic orders, a substantial part of the book is devoted to recent research on stochastic comparisons of order statistics andspacings, including a long chapter on dependence among them.The book will be useful for graduate students and researchers in statistics, economics, actuarial science and other related disciplines. In particular, with close to 300 references, it will be a valuable resource for reliability theorists, applied probabilists and statisticians. Readers are expected to have taken a first-year graduate level course in mathematical statistics or in applied probability.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 288 pp. Englisch.

  • Sprache: Englisch

    Verlag: Springer, Springer Okt 2023, 2023

    3031121066 / 9783031121067

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    Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book emphasizes the use of stochastic orders as motivational tools for developing new statistical procedures. Stochastic orders have found useful applications in many disciplines, including reliability theory, survival analysis, risk theory, finance, nonparametric methods, economics and actuarial science. Written by a statistician, this volume clarifies the connection between stochastic orders and nonparametric methods.The importance of order statistics and spacings is well recognized. Classically, they mainly focus on the case when the observations are independent and identically distributed, however, several new developments have extended the comparison of order statistics to the case of non-identically distributed or non-independent observations. In addition to giving a detailed discussion of various topics in the general area of stochastic orders, a substantial part of the book is devoted to recent research on stochastic comparisons of order statistics andspacings, including a long chapter on dependence among them.The book will be useful for graduate students and researchers in statistics, economics, actuarial science and other related disciplines. In particular, with close to 300 references, it will be a valuable resource for reliability theorists, applied probabilists and statisticians. Readers are expected to have taken a first-year graduate level course in mathematical statistics or in applied probability.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 288 pp. Englisch.

  • Sprache: Englisch

    Verlag: Springer, 2022

    3031121031 / 9783031121036

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