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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. This volume will be of interest to researchers and graduate students in the field of probability and statistics, whose work involves dependent data (variables).
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Edition | Availability |
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1
Limit Theory for Mixing Dependent Random Variables (Mathematics and Its Applications)
July 31, 1997, Springer
Hardcover
in English
- 1 edition
0792342194 9780792342199
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2
Limit theory for mixing dependent random variables
1996, Kluwer Academic Publishers
in English
0792342194 9780792342199
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Includes bibliographical references and index.
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- Created November 15, 2008
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