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Titlebook: Mixing; Properties and Examp Paul Doukhan Book 19941st edition Springer-Verlag New York, Inc. 1994 Maxima.Probability space.Variance.proof.

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樓主
發(fā)表于 2025-3-21 16:45:01 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Mixing
副標題Properties and Examp
編輯Paul Doukhan
視頻videohttp://file.papertrans.cn/636/635238/635238.mp4
叢書名稱Lecture Notes in Statistics
圖書封面Titlebook: Mixing; Properties and Examp Paul Doukhan Book 19941st edition Springer-Verlag New York, Inc. 1994 Maxima.Probability space.Variance.proof.
描述Mixing is concerned with the analysis of dependence between sigma-fields defined on the same underlying probability space. It provides an important tool of analysis for random fields, Markov processes, central limit theorems as well as being a topic of current research interest in its own right. The aim of this monograph is to provide a study of applications of dependence in probability and statistics. It is divided in two parts, the first covering the definitions and probabilistic properties of mixing theory. The second part describes mixing properties of classical processes and random fields as well as providing a detailed study of linear and Gaussian fields. Consequently, this book will provide statisticians dealing with problems involving weak dependence properties with a powerful tool.
出版日期Book 19941st edition
關(guān)鍵詞Maxima; Probability space; Variance; proof; theorem
版次1
doihttps://doi.org/10.1007/978-1-4612-2642-0
isbn_softcover978-0-387-94214-8
isbn_ebook978-1-4612-2642-0Series ISSN 0930-0325 Series E-ISSN 2197-7186
issn_series 0930-0325
copyrightSpringer-Verlag New York, Inc. 1994
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Book 19941st editionol of analysis for random fields, Markov processes, central limit theorems as well as being a topic of current research interest in its own right. The aim of this monograph is to provide a study of applications of dependence in probability and statistics. It is divided in two parts, the first coveri
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0930-0325 dom fields as well as providing a detailed study of linear and Gaussian fields. Consequently, this book will provide statisticians dealing with problems involving weak dependence properties with a powerful tool.978-0-387-94214-8978-1-4612-2642-0Series ISSN 0930-0325 Series E-ISSN 2197-7186
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978-0-387-94214-8Springer-Verlag New York, Inc. 1994
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Lecture Notes in Statisticshttp://image.papertrans.cn/m/image/635238.jpg
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