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Verlag: World Scientific Publishing Company, Incorporated, 2014
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Verlag: Berlin, Springer; Science Press, 2011
ISBN 10: 7030255623 ISBN 13: 9787030255624
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In den WarenkorbHardcover. vii, 181 S. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. Ex-library with stamp and library-signature. GOOD condition, some traces of use. D03564 9787030255624 Sprache: Englisch Gewicht in Gramm: 1150.
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In den WarenkorbPaperback. Zustand: new. Paperback. For many practical problems, observations are not independent. In this book, limit behaviour of an important kind of dependent random variables, the so-called mixing random variables, is studied. Many profound results are given, which cover recent developments in this subject, such as basic properties of mixing variables, powerful probability and moment inequalities, weak convergence and strong convergence (approximation), limit behaviour of some statistics with a mixing sample, and many useful tools are provided. Audience: This volume will be of interest to researchers and graduate students in the field of probability and statistics, whose work involves dependent data (variables). Many profound results are given, which cover recent developments in this subject, such as basic properties of mixing variables, powerful probability and moment inequalities, weak convergence and strong convergence (approximation), limit behaviour of some statistics with a mixing sample, and many useful tools are provided. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Verlag: Kluwer Academic Publishers, Dordrecht, 1997
ISBN 10: 0792342194 ISBN 13: 9780792342199
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In den WarenkorbHardcover. Zustand: new. Hardcover. For many practical problems, observations are not independent. In this book, limit behaviour of an important kind of dependent random variables, the so-called mixing random variables, is studied. Many results are given, which cover recent developments in this subject, such as basic properties of mixing variables, powerful probability and moment inequalities, weak convergence and strong convergence (approximation), limit behaviour of some statistics with a mixing sample, and many tools are provided. This book should be of interest to researchers and graduate students in the field of probability and statistics, whose work involves dependent data (variables). Many profound results are given, which cover recent developments in this subject, such as basic properties of mixing variables, powerful probability and moment inequalities, weak convergence and strong convergence (approximation), limit behaviour of some statistics with a mixing sample, and many useful tools are provided. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Verlag: Kluwer Academic Publishers, Dordrecht, 1992
ISBN 10: 079231798X ISBN 13: 9780792317982
Sprache: Englisch
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In den WarenkorbHardcover. Zustand: new. Hardcover. This volume presents an up-to-date review of the most significant developments in strong Approximation and strong convergence in probability theory. The book consists of three chapters. The first deals with Wiener and Gaussian processes. Chapter 2 is devoted to the increments of partial sums of independent random variables. Chapter 3 concentrates on the strong laws of processes generated by infinite-dimensional Ornstein-Uhlenbeck processes. For researchers whose work involves probability theory and statistics. Presents a review of the most significant developments in strong Approximation and strong Convergence in probability theory. Divided into three chapters, this book deals with Wiener and Gaussian processes. It is intended for researchers whose work involves probability theory and statistics. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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In den WarenkorbPaperback. Zustand: new. Paperback. This volume presents an up-to-date review of the most significant developments in strong Approximation and strong convergence in probability theory. The book consists of three chapters. The first deals with Wiener and Gaussian processes. Chapter 2 is devoted to the increments of partial sums of independent random variables. Chapter 3 concentrates on the strong laws of processes generated by infinite-dimensional Ornstein-Uhlenbeck processes. For researchers whose work involves probability theory and statistics. tEL moi, . ,' si favait su comment en revenir. je One service mathematics has rendered the n 'y serais point alle.' human race. It has put common sense back Jules Verne where it belongs, on the topmost shelf next to the dusty canister labelled' discarded nonsense'. The series is divergent; therefore we may be Eric T. Bell able to do something with it. O. Heaviside Mathematics is a tool for thought A highly necessary tool in a world where both feedback and nonlineariA ties abound. Similarly, all kinds of parts of mathematics serve as tools for other parts and for other sciA ences. Applying a simple rewriting rule to the quote on the right above one finds such statements as: 'One serA vice topology has rendered mathematical physics . .'; 'One service logic has rendered computer science . .'; 'One service category theory has rendered mathematics . .'. All arguably true. And all statements obtainable this way form part of the raison d'etre of this seri Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Verlag: Kluwer Academic Publishers, US, 1997
ISBN 10: 0792342194 ISBN 13: 9780792342199
Sprache: Englisch
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In den WarenkorbHardback. Zustand: New. 1996 ed. For many practical problems, observations are not independent. In this book, limit behaviour of an important kind of dependent random variables, the so-called mixing random variables, is studied. Many profound results are given, which cover recent developments in this subject, such as basic properties of mixing variables, powerful probability and moment inequalities, weak convergence and strong convergence (approximation), limit behaviour of some statistics with a mixing sample, and many useful tools are provided. Audience: This volume will be of interest to researchers and graduate students in the field of probability and statistics, whose work involves dependent data (variables).