Stable Non-Gaussian Random Processes : Stochastic Models with Infinite Variance
Book Details
Format
Hardback or Cased Book
Book Series
Stochastic Modeling Series
ISBN-10
0412051710
ISBN-13
9780412051715
Publisher
Taylor & Francis Ltd
Imprint
Chapman & Hall/CRC
Country of Manufacture
US
Country of Publication
GB
Publication Date
Jun 1st, 1994
Print length
654 Pages
Weight
1,066 grams
Dimensions
24.50 x 16.40 x 4.50 cms
Product Classification:
Probability & statisticsMathematical modellingStochastics
Ksh 36,000.00
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This book presents similarity between Gaussian and non-Gaussian stable multivariate distributions and introduces the one-dimensional stable random variables. It discusses the most basic sample path properties of stable processes, namely sample boundedness and continuity.
This book presents similarity between Gaussian and non-Gaussian stable multivariate distributions and introduces the one-dimensional stable random variables. It discusses the most basic sample path properties of stable processes, namely sample boundedness and continuity.
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