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Minimum Information Probability Models With Applications To Correlations


Minimum Information Probability Models With Applications To Correlations
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Minimum Information Probability Models With Applications To Correlations


Minimum Information Probability Models With Applications To Correlations
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Author :
language : en
Publisher:
Release Date : 1991

Minimum Information Probability Models With Applications To Correlations written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with categories.




Introduction To Probability


Introduction To Probability
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Author : Narayanaswamy Balakrishnan
language : en
Publisher: John Wiley & Sons
Release Date : 2021-12-29

Introduction To Probability written by Narayanaswamy Balakrishnan and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-29 with Mathematics categories.


INTRODUCTION TO PROBABILITY Discover practical models and real-world applications of multivariate models useful in engineering, business, and related disciplines In Introduction to Probability: Multivariate Models and Applications, a team of distinguished researchers delivers a comprehensive exploration of the concepts, methods, and results in multivariate distributions and models. Intended for use in a second course in probability, the material is largely self-contained, with some knowledge of basic probability theory and univariate distributions as the only prerequisite. This textbook is intended as the sequel to Introduction to Probability: Models and Applications. Each chapter begins with a brief historical account of some of the pioneers in probability who made significant contributions to the field. It goes on to describe and explain a critical concept or method in multivariate models and closes with two collections of exercises designed to test basic and advanced understanding of the theory. A wide range of topics are covered, including joint distributions for two or more random variables, independence of two or more variables, transformations of variables, covariance and correlation, a presentation of the most important multivariate distributions, generating functions and limit theorems. This important text: Includes classroom-tested problems and solutions to probability exercises Highlights real-world exercises designed to make clear the concepts presented Uses Mathematica software to illustrate the text’s computer exercises Features applications representing worldwide situations and processes Offers two types of self-assessment exercises at the end of each chapter, so that students may review the material in that chapter and monitor their progress Perfect for students majoring in statistics, engineering, business, psychology, operations research and mathematics taking a second course in probability, Introduction to Probability: Multivariate Models and Applications is also an indispensable resource for anyone who is required to use multivariate distributions to model the uncertainty associated with random phenomena.



Probability Models And Applications Revised Second Edition


Probability Models And Applications Revised Second Edition
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Author : Ingram Olkin
language : en
Publisher: World Scientific
Release Date : 2019-09-03

Probability Models And Applications Revised Second Edition written by Ingram Olkin and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-03 with Mathematics categories.


Written by renowned experts in the field, this reissue of a textbook has as its unifying theme the role that probability models have had, and continue to have, in scientific and practical applications. It includes many examples, with actual data, of real-world use of probability models, while expositing the mathematical theory of probability at an introductory calculus-based level. Detailed descriptions of the properties and applications of probability models that have successfully modeled real phenomena are given, as well as an explanation of methods for testing goodness of fit of these models. Readers will receive a firm foundation in techniques for deriving distributions of various summaries of data that will prepare them for subsequent studies of statistics, as well as a solid grounding in concepts such as that of conditional probability that will prepare them for more advanced courses in stochastic processes.



Robust Correlation


Robust Correlation
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Author : Georgy L. Shevlyakov
language : en
Publisher: John Wiley & Sons
Release Date : 2016-08-02

Robust Correlation written by Georgy L. Shevlyakov and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-02 with Mathematics categories.


This bookpresents material on both the analysis of the classical concepts of correlation and on the development of their robust versions, as well as discussing the related concepts of correlation matrices, partial correlation, canonical correlation, rank correlations, with the corresponding robust and non-robust estimation procedures. Every chapter contains a set of examples with simulated and real-life data. Key features: Makes modern and robust correlation methods readily available and understandable to practitioners, specialists, and consultants working in various fields. Focuses on implementation of methodology and application of robust correlation with R. Introduces the main approaches in robust statistics, such as Huber’s minimax approach and Hampel’s approach based on influence functions. Explores various robust estimates of the correlation coefficient including the minimax variance and bias estimates as well as the most B- and V-robust estimates. Contains applications of robust correlation methods to exploratory data analysis, multivariate statistics, statistics of time series, and to real-life data. Includes an accompanying website featuring computer code and datasets Features exercises and examples throughout the text using both small and large data sets. Theoretical and applied statisticians, specialists in multivariate statistics, robust statistics, robust time series analysis, data analysis and signal processing will benefit from this book. Practitioners who use correlation based methods in their work as well as postgraduate students in statistics will also find this book useful.



Handbook Of Statistical Distributions With Applications


Handbook Of Statistical Distributions With Applications
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Author : K. Krishnamoorthy
language : en
Publisher: CRC Press
Release Date : 2006-06-19

Handbook Of Statistical Distributions With Applications written by K. Krishnamoorthy and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-06-19 with Mathematics categories.


In the area of applied statistics, scientists use statistical distributions to model a wide range of practical problems, from modeling the size grade distribution of onions to modeling global positioning data. To apply these probability models successfully, practitioners and researchers must have a thorough understanding of the theory as well as a



Continuous Univariate Distributions Volume 2


Continuous Univariate Distributions Volume 2
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Author : Norman L. Johnson
language : en
Publisher: John Wiley & Sons
Release Date : 1995-05-08

Continuous Univariate Distributions Volume 2 written by Norman L. Johnson and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995-05-08 with Mathematics categories.


Comprehensive reference for statistical distributions Continuous Univariate Distributions, Volume 2 provides in-depth reference for anyone who applies statistical distributions in fields including engineering, business, economics, and the sciences. Covering a range of distributions, both common and uncommon, this book includes guidance toward extreme value, logistics, Laplace, beta, rectangular, noncentral distributions and more. Each distribution is presented individually for ease of reference, with clear explanations of methods of inference, tolerance limits, applications, characterizations, and other important aspects, including reference to other related distributions.



The Mathematical Scientist


The Mathematical Scientist
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Author :
language : en
Publisher:
Release Date : 1992

The Mathematical Scientist written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Mathematics categories.




Distributions With Given Marginals And Moment Problems


Distributions With Given Marginals And Moment Problems
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Author : Viktor Benes
language : en
Publisher: Springer
Release Date : 1997-05-31

Distributions With Given Marginals And Moment Problems written by Viktor Benes and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-05-31 with Computers categories.


This volume contains the Proceedings of the 1996 Prague Conference on ̀Distributions with Given Marginals and Moment Problems'. It provides researchers with difficult theoretical problems that have direct consequences for applications outside mathematics. Contributions centre around the following two main themes. Firstly, an attempt is made to construct a probability distribution, or at least prove its existence, with a given support and with some additional inner stochastic property defined typically either by moments or by marginal distributions. Secondly, the geometrical and topological structures of the set of probability distributions generated by such a property are studied, mostly with the aim to propose a procedure that would result in a stochastic model with some optimal properties within the set of probability distributions. Topics that are dealt with include moment problems and their applications, marginal problems and stochastic order, copulas, measure theoretic approach, applications in stochastic programming and artificial intelligence, and optimization in marginal problems. Audience: This book will be of interest to probability theorists and statisticians.



Applied Probability Models With Optimization Applications


Applied Probability Models With Optimization Applications
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Author : Sheldon M. Ross
language : en
Publisher:
Release Date : 2000

Applied Probability Models With Optimization Applications written by Sheldon M. Ross and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with categories.




Statistical Theory And Method Abstracts


Statistical Theory And Method Abstracts
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Author :
language : en
Publisher:
Release Date : 1994

Statistical Theory And Method Abstracts written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Statistics categories.