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A comprehensive introduction to the central limit theory-from foundations to current research
This volume provides an introduction to the central limit theory of random vectors, which lies at the heart of probability and statistics. The authors develop the central limit theory in detail, starting with the basic constructions of modern probability theory, then developing the fundamental tools of infinitely divisible distributions and regular variation. They provide a number of extensions and applications to probability and statistics, and take the reader through the fundamentals to the current level of research.
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Previews available in: English
Subjects
Probability theory, Probabilities, Random variables, Limit theorems, Central limit theorem, Stochastic processes, Statistics, Mathematical statistics, Zentraler Grenzwertsatz, Zufallsvektor, RANDOM VARIABLES, Theoreme central limite, Centraal limiet theorema, MULTIVARIATE STATISTICAL ANALYSIS, Willekeurige variabelen, STATISTICAL ANALYSIS, Variables aleatoires, LINEAR OPERATORS, Variables (mathematics)Edition | Availability |
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1
Limit Distributions for Sums of Independent Random Vectors: Heavy Tails in Theory and Practice (Wiley Series in Probability and Statistics)
July 11, 2001, Wiley-Interscience
in English
0471356298 9780471356295
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2
Limit Distributions for Sums of Independent Random Vectors: Heavy Tails in Theory and Practice
July 11, 2001, John Wiley & Sons
Hardcover
in English
- First Edition
0471356298 9780471356295
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Book Details
First Sentence
"In this chapter, we collect some well-known results on random vectors in R, their probability distributions, and their characteristic functions."
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- Created April 29, 2008
- 8 revisions
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November 15, 2022 | Edited by ImportBot | import existing book |
May 10, 2020 | Edited by ImportBot | import existing book |
July 31, 2019 | Edited by MARC Bot | associate edition with work OL19795415W |
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April 29, 2008 | Created by an anonymous user | Imported from amazon.com record |