Infinite Divisibility of Probability Distributions on the Real Line (Chapman & Hall/CRC Pure and Applied Mathematics) - Image 1

Price loading...

CRC Press Infinite Divisibility of Probability Distributions on the Real Line (Chapman & Hall/CRC Pure and Applied Mathematics)

Name: Infinite Divisibility of Probability Distributions on the Real Line (Chapman & Hall/CRC Pure and Applied Mathematics)
Brand: CRC Press

Applied Mathematics

Price History & Forecast

No Price Data Available

Price history will appear here once data is collected from Amazon.

Price Distribution

No price data available for histogram

Description

Infinite Divisibility of Probability Distributions on the Real Line reassesses classical theory and presents new developments, while focusing on divisibility with respect to convolution or addition of independent random variables. This definitive, example-rich text supplies approximately 100 examples to correspond with all major chapter topics and reviews infinite divisibility in light of the central limit problem. It contrasts infinite divisibility with finite divisibility, discusses the preservation of infinite divisibility under mixing for many classes of distributions, and investigates self-decomposability and stability on the nonnegative reals, nonnegative integers, and the reals.

Product Specifications

Brand: CRC Press
Format: hardcover
ASIN: 0824707249
Category: Books > Subjects > Science, Nature & Maths > Mathematics > Applied Mathematics
Domain: Amazon UK
Release Date: 03 October 2003
Listed Since: 17 February 2007

Barcode

No barcode data available

CRC Press Infinite Divisibility of Probability Distributions on the Real Line (Chapman & Hall/CRC Pure and Applied Mathematics)

Price History & Forecast

No Price Data Available

Price Distribution

Description

Product Specifications

Barcode

Similar Products You Might Like

CRC Press Stochastic Cauchy Problems in Infinite Dimensions

Real Analysis and Probability

Limit Distributions for Sums of Independent Random Vectors: Heavy Tails in Theory and Practice: 321 (Wiley Series in Probability and Statistics)

Stability of Infinite Dimensional Stochastic Differential Equations with Applications: 135 (Monographs and Surveys in Pure and Applied Mathematics)

Parabolic Equations on an Infinite Strip: 127 (Chapman & Hall/CRC Pure and Applied Mathematics)

Probability and Statistical Inference: 100 (Statistics: A Series of Textbooks and Monographs)

Random Matrices and Non-Commutative Probability

CRC Press Probability and Statistical Inference Textbook

Probability With a View Towards Statistics, Two Volume Set (Chapman & Hall/CRC Probability Series)

Refined Large Deviation Limit Theorems (Chapman & Hall/CRC Research Notes in Mathematics Series)

Fundamentals of Probability

The Divergence Theorem and Sets of Finite Perimeter: 303 (Chapman & Hall/CRC Pure and Applied Mathematics)

Introduction to Statistical Limit Theory: 91 (Chapman & Hall/CRC Texts in Statistical Science)

Measure and Probability

Asymptotic Behaviour of Linearly Transformed Sums of Random Variables: 416 (Mathematics and Its Applications, 416)

Modeling and Inverse Problems in the Presence of Uncertainty (Chapman & Hall/CRC Monographs and Research Notes in Mathematics)

Lineability: The Search for Linearity in Mathematics (Chapman & Hall/CRC Monographs and Research Notes in Mathematics)

Mathematical Inequalities: A Perspective

Tools for Infinite Dimensional Analysis (Chapman & Hall/CRC Monographs and Research Notes in Mathematics)

Distribution, Integral Transforms and Applications: 7 (Analytical Methods and Special Functions)

Combinatorial Methods in Discrete Distributions (Wiley Series in Probability and Statistics)

Characterization of Probability Distributions on Locally Compact Abelian Groups (Mathematical Surveys and Monographs)

Method of Averaging for Differential Equations on an Infinite Interval: Theory and Applications (Lecture Notes in Pure and Applied Mathematics)

The Normal Distribution: Characterizations with Applications: 100 (Lecture Notes in Statistics, 100)