Characterizations of Univariate Continuous Distributions

Characterizations of Univariate Continuous Distributions
Title Characterizations of Univariate Continuous Distributions PDF eBook
Author Mohammad Ahsanullah
Publisher Springer
Pages 130
Release 2017-04-18
Genre Mathematics
ISBN 9462391394

Download Characterizations of Univariate Continuous Distributions Book in PDF, Epub and Kindle

Provides in an organized manner characterizations of univariate probability distributions with many new results published in this area since the 1978 work of Golambos & Kotz "Characterizations of Probability Distributions" (Springer), together with applications of the theory in model fitting and predictions.

Characterizations of Recently Introduced Univariate Continuous Distributions II

Characterizations of Recently Introduced Univariate Continuous Distributions II
Title Characterizations of Recently Introduced Univariate Continuous Distributions II PDF eBook
Author G. G. Hamedani
Publisher
Pages 436
Release 2019-05-17
Genre
ISBN 9781536150957

Download Characterizations of Recently Introduced Univariate Continuous Distributions II Book in PDF, Epub and Kindle

This monograph is, as far as the author has gathered, the second of its kind (the first one was published by Nova in 2017 with coauthors Hamedani and Maadooliat) which presents various characterizations of a wide variety of continuous distributions. These two monographs could also be used as sources to prevent reinventing and duplicating the already exiting distributions. This current book consists of seven chapters. The first chapter lists cumulative and density functions of two hundred univariate distributions. Chapter two provides characterizations of these distributions: (i) based on the ration of two truncated moments; (ii) in terms of the hazard function; (iii) in terms of the reverse hazard function; (iv) based on the conditional expectation of certain functions of the random variable. Chapter three includes the characterizations of twenty distributions, including a published paper (Hamedani and Safavimanesh, 2017). Chapter four presents characterizations of thirty six distributions, and contains a published paper (Hamedani, 2017). Chapter five covers the characterizations of forty one distributions, as well as a published paper (Hamedani, 2018a). Chapter six presents characterizations of eighty distributions, and also contains a published paper (Hamedani, 2018b). Finally, chapter seven consists of seventy proposed distributions. The main reason to include previously published papers in Chapters 3-6 is to provide a rather complete source for the interested researchers who would want to avoid reinventing the existing distributions.

Continuous Univariate Distributions, Volume 1

Continuous Univariate Distributions, Volume 1
Title Continuous Univariate Distributions, Volume 1 PDF eBook
Author Norman L. Johnson
Publisher Wiley-Interscience
Pages 0
Release 1994-10-28
Genre Mathematics
ISBN 9780471584957

Download Continuous Univariate Distributions, Volume 1 Book in PDF, Epub and Kindle

The definitive reference for statistical distributions Continuous Univariate Distributions, Volume 1 offers comprehensive guidance toward the most commonly used statistical distributions, including normal, lognormal, inverse Gaussian, Pareto, Cauchy, gamma distributions and more. Each distribution includes clear definitions and properties, plus methods of inference, applications, algorithms, characterizations, and reference to other related distributions. Organized for easy navigation and quick reference, this book is an invaluable resource for investors, data analysts, or anyone working with statistical distributions on a regular basis.

Multiscale Signal Analysis and Modeling

Multiscale Signal Analysis and Modeling
Title Multiscale Signal Analysis and Modeling PDF eBook
Author Xiaoping Shen
Publisher Springer Science & Business Media
Pages 388
Release 2012-09-18
Genre Technology & Engineering
ISBN 1461441447

Download Multiscale Signal Analysis and Modeling Book in PDF, Epub and Kindle

Multiscale Signal Analysis and Modeling presents recent advances in multiscale analysis and modeling using wavelets and other systems. This book also presents applications in digital signal processing using sampling theory and techniques from various function spaces, filter design, feature extraction and classification, signal and image representation/transmission, coding, nonparametric statistical signal processing, and statistical learning theory.

Characterizations of Probability Distributions.

Characterizations of Probability Distributions.
Title Characterizations of Probability Distributions. PDF eBook
Author Janos Galambos
Publisher Springer
Pages 177
Release 2006-11-15
Genre Mathematics
ISBN 3540357335

Download Characterizations of Probability Distributions. Book in PDF, Epub and Kindle

Advances in Statistical Methodologies and Their Application to Real Problems

Advances in Statistical Methodologies and Their Application to Real Problems
Title Advances in Statistical Methodologies and Their Application to Real Problems PDF eBook
Author Tsukasa Hokimoto
Publisher BoD – Books on Demand
Pages 327
Release 2017-04-26
Genre Mathematics
ISBN 953513101X

Download Advances in Statistical Methodologies and Their Application to Real Problems Book in PDF, Epub and Kindle

In recent years, statistical techniques and methods for data analysis have advanced significantly in a wide range of research areas. These developments enable researchers to analyze increasingly large datasets with more flexibility and also more accurately estimate and evaluate the phenomena they study. We recognize the value of recent advances in data analysis techniques in many different research fields. However, we also note that awareness of these different statistical and probabilistic approaches may vary, owing to differences in the datasets typical of different research fields. This book provides a cross-disciplinary forum for exploring the variety of new data analysis techniques emerging from different fields.

Lifetime Analysis by Aging Intensity Functions

Lifetime Analysis by Aging Intensity Functions
Title Lifetime Analysis by Aging Intensity Functions PDF eBook
Author Magdalena Szymkowiak
Publisher Springer
Pages 224
Release 2019-02-01
Genre Technology & Engineering
ISBN 3030121070

Download Lifetime Analysis by Aging Intensity Functions Book in PDF, Epub and Kindle

This book addresses a range of aging intensity functions, which make it possible to measure and compare aging trends for lifetime random variables. Moreover, they can be used for the characterization of lifetime distributions, also with bounded support. Stochastic orders based on the aging intensities, and their connections with some other orders, are also discussed. To demonstrate the applicability of aging intensity in reliability practice, the book analyzes both real and generated data. The estimated, properly chosen, aging intensity function is mainly recommended to identify data’s lifetime distribution, and secondly, to estimate some of the parameters of the identified distribution. Both reliability researchers and practitioners will find the book a valuable guide and source of inspiration.