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Limit Theory for Mixing Dependent Random Variables: (Mathematics And Its Applications)
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Limit Theory for Mixing Dependent Random Variables: (Mathematics And Its Applications)
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).
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- ISBN
9780792342199
- Published
- July 1st 1997 by Kluwer Academic Publishers Group
- Category
- Probability & Statistics
- Number of pages
- 344
- County of origin
- NETHERLANDS
- Dimensions
- 240 x 160
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