Distributions With Given Marginals And Statistical Modelling

Download Distributions With Given Marginals And Statistical Modelling full books in PDF, epub, and Kindle. Read online free Distributions With Given Marginals And Statistical Modelling ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Distributions With Given Marginals and Statistical Modelling

Distributions With Given Marginals and Statistical Modelling
Author :
Publisher : Springer Science & Business Media
Total Pages : 252
Release :
ISBN-10 : 9789401700610
ISBN-13 : 9401700613
Rating : 4/5 (613 Downloads)

Book Synopsis Distributions With Given Marginals and Statistical Modelling by : Carles M. Cuadras

Download or read book Distributions With Given Marginals and Statistical Modelling written by Carles M. Cuadras and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the papers presented at the meeting "Distributions with given marginals and statistical modelling", held in Barcelona (Spain), July 17- 20, 2000. This is the fourth meeting on given marginals, showing that this topic has aremarkable interest. BRIEF HISTORY The construction of distributions with given marginals started with the seminal papers by Hoeffding (1940) and Fn!chet (1951). Since then, many others have contributed on this topic: Dall' Aglio, Farlie, Gumbel, Johnson, Kellerer, Kotz, Morgenstern, Marshali, Olkin, Strassen, Vitale, Whitt, etc., as weIl as Arnold, Cambanis, Deheuvels, Genest, Frank, Joe, Kirneldorf, Nelsen, Rüschendorf, Sampson, Scarsini, Tiit, etc. In 1957 Sklar and Schweizer introduced probabilistic metric spaces. In 1975 Kirneldorf and Sampson studied the uniform representation of a bivariate dis tribution and proposed the desirable conditions that should be satisfied by any bivariate family. In 1991 Darsow, Nguyen and Olsen defined a natural operation between cop ulas, with applications in stochastic processes. In 1993, AIsina, Nelsen and Schweizer introduced the notion of quasi-copula


Distributions With Given Marginals and Statistical Modelling Related Books

Distributions With Given Marginals and Statistical Modelling
Language: en
Pages: 252
Authors: Carles M. Cuadras
Categories: Mathematics
Type: BOOK - Published: 2013-11-11 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This volume contains the papers presented at the meeting "Distributions with given marginals and statistical modelling", held in Barcelona (Spain), July 17- 20,
An Introduction to Copulas
Language: en
Pages: 227
Authors: Roger B. Nelsen
Categories: Mathematics
Type: BOOK - Published: 2013-03-09 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Copulas are functions that join multivariate distribution functions to their one-dimensional margins. The study of copulas and their role in statistics is a new
Logical, Algebraic, Analytic and Probabilistic Aspects of Triangular Norms
Language: en
Pages: 491
Authors: Erich Peter Klement
Categories: Mathematics
Type: BOOK - Published: 2005-03-25 - Publisher: Elsevier

DOWNLOAD EBOOK

This volume gives a state of the art of triangular norms which can be used for the generalization of several mathematical concepts, such as conjunction, metric,
Fundamental Aspects of Operational Risk and Insurance Analytics
Language: en
Pages: 939
Authors: Marcelo G. Cruz
Categories: Mathematics
Type: BOOK - Published: 2015-01-29 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

A one-stop guide for the theories, applications, and statistical methodologies essential to operational risk Providing a complete overview of operational risk m
Advances in Distribution Theory, Order Statistics, and Inference
Language: en
Pages: 515
Authors: N. Balakrishnan
Categories: Mathematics
Type: BOOK - Published: 2007-10-23 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

The purpose of this book is to honor the fundamental contributions to many different areas of statistics made by Barry Arnold. Distinguished and active research