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Titlebook: The Normal Distribution; Characterizations wi Wlodzimierz Bryc Book 1995 Springer-Verlag New York, Inc. 1995 Gaussian distribution.Gaussian

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書目名稱The Normal Distribution
副標(biāo)題Characterizations wi
編輯Wlodzimierz Bryc
視頻videohttp://file.papertrans.cn/916/915099/915099.mp4
叢書名稱Lecture Notes in Statistics
圖書封面Titlebook: The Normal Distribution; Characterizations wi Wlodzimierz Bryc Book 1995 Springer-Verlag New York, Inc. 1995 Gaussian distribution.Gaussian
描述This book is a concise presentation of the normal distribution on the real line and its counterparts on more abstract spaces, which we shall call the Gaussian distributions. The material is selected towards presenting characteristic properties, or characterizations, of the normal distribution. There are many such properties and there are numerous rel- evant works in the literature. In this book special attention is given to characterizations generated by the so called Maxwell‘s Theorem of statistical mechanics, which is stated in the introduction as Theorem 0.0.1. These characterizations are of interest both intrin- sically, and as techniques that are worth being aware of. The book may also serve as a good introduction to diverse analytic methods of probability theory. We use characteristic functions, tail estimates, and occasionally dive into complex analysis. In the book we also show how the characteristic properties can be used to prove important results about the Gaussian processes and the abstract Gaussian vectors. For instance, in Section 5.4 we present Fernique‘s beautiful proofs of the zero-one law and of the integrability of abstract Gaussian vectors. The central limit the
出版日期Book 1995
關(guān)鍵詞Gaussian distribution; Gaussian process; Moment; Random variable; Rang; Variance; mixing; normal distributi
版次1
doihttps://doi.org/10.1007/978-1-4612-2560-7
isbn_softcover978-0-387-97990-8
isbn_ebook978-1-4612-2560-7Series ISSN 0930-0325 Series E-ISSN 2197-7186
issn_series 0930-0325
copyrightSpringer-Verlag New York, Inc. 1995
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Book 1995ow the characteristic properties can be used to prove important results about the Gaussian processes and the abstract Gaussian vectors. For instance, in Section 5.4 we present Fernique‘s beautiful proofs of the zero-one law and of the integrability of abstract Gaussian vectors. The central limit the
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Lecture Notes in Statisticshttp://image.papertrans.cn/t/image/915099.jpg
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https://doi.org/10.1007/978-1-4612-2560-7Gaussian distribution; Gaussian process; Moment; Random variable; Rang; Variance; mixing; normal distributi
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978-0-387-97990-8Springer-Verlag New York, Inc. 1995
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The Normal Distribution978-1-4612-2560-7Series ISSN 0930-0325 Series E-ISSN 2197-7186
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