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Statistical Properties of the Generalized Inverse Gaussian Distribution

Statistical Properties of the Generalized Inverse Gaussian Distribution
Author: B. Jorgensen
Publisher: Springer Science & Business Media
Total Pages: 197
Release: 2012-12-06
Genre: Mathematics
ISBN: 1461256984

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In 1978 the idea of studying the generalized inverse Gaussian distribution was proposed to me by Professor Ole Barndorff-Nielsen, who had come across the distribution in the study of the socalled hyperbolic distributions where it emerged in connection with the representation of the hyperbolic distributions as mixtures of normal distributions. The statistical properties of the generalized inverse Gaussian distribution were at that time virtually unde veloped, but it turned out that the distribution has some nice properties, and models many sets of data satisfactorily. This work contains an account of the statistical properties of the distribu tion as far as they are developed at present. The work was done at the Department of Theoretical Statistics, Aarhus University, mostly in 1979, and was partial fulfilment to wards my M. Sc. degree. I wish to convey my warm thanks to Ole Barn dorff-Nielsen and Preben BI~sild for their advice and for comments on earlier versions of the manuscript and to Jette Hamborg for her skilful typing.


Memoirs

Memoirs
Author:
Publisher:
Total Pages:
Release: 1980
Genre:
ISBN:

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The Inverse Gaussian Distribution

The Inverse Gaussian Distribution
Author: Raj Chhikara
Publisher: CRC Press
Total Pages: 232
Release: 1988-09-29
Genre: Mathematics
ISBN: 9780824779979

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This monograph is a compilation of research on the inverse Gaussian distribution. It emphasizes the presentation of the statistical properties, methods, and applications of the two-parameter inverse Gaussian family of distribution. It is useful to statisticians and users of statistical distribution.


Computational Network Analysis with R

Computational Network Analysis with R
Author: Matthias Dehmer
Publisher: John Wiley & Sons
Total Pages: 368
Release: 2016-07-22
Genre: Medical
ISBN: 3527694404

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This new title in the well-established "Quantitative Network Biology" series includes innovative and existing methods for analyzing network data in such areas as network biology and chemoinformatics. With its easy-to-follow introduction to the theoretical background and application-oriented chapters, the book demonstrates that R is a powerful language for statistically analyzing networks and for solving such large-scale phenomena as network sampling and bootstrapping. Written by editors and authors with an excellent track record in the field, this is the ultimate reference for R in Network Analysis.


Riesz Probability Distributions

Riesz Probability Distributions
Author: Abdelhamid Hassairi
Publisher: Walter de Gruyter GmbH & Co KG
Total Pages: 224
Release: 2021-07-05
Genre: Mathematics
ISBN: 3110713454

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This book is a useful overview of results in multivariate probability distributions and multivariate analysis as well as a reference to harmonic analysis on symmetric cones adapted to the needs of researchers in analysis and probability theory.


Machine Learning and Knowledge Discovery in Databases

Machine Learning and Knowledge Discovery in Databases
Author: Paolo Frasconi
Publisher: Springer
Total Pages: 850
Release: 2016-09-03
Genre: Computers
ISBN: 3319461281

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The three volume set LNAI 9851, LNAI 9852, and LNAI 9853 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2016, held in Riva del Garda, Italy, in September 2016. The 123 full papers and 16 short papers presented were carefully reviewed and selected from a total of 460 submissions. The papers presented focus on practical and real-world studies of machine learning, knowledge discovery, data mining; innovative prototype implementations or mature systems that use machine learning techniques and knowledge discovery processes in a real setting; recent advances at the frontier of machine learning and data mining with other disciplines. Part I and Part II of the proceedings contain the full papers of the contributions presented in the scientific track and abstracts of the scientific plenary talks. Part III contains the full papers of the contributions presented in the industrial track, short papers describing demonstration, the nectar papers, and the abstracts of the industrial plenary talks.


Normal and Student ́s t Distributions and Their Applications

Normal and Student ́s t Distributions and Their Applications
Author: Mohammad Ahsanullah
Publisher: Springer Science & Business Media
Total Pages: 163
Release: 2014-02-07
Genre: Mathematics
ISBN: 9462390614

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The most important properties of normal and Student t-distributions are presented. A number of applications of these properties are demonstrated. New related results dealing with the distributions of the sum, product and ratio of the independent normal and Student distributions are presented. The materials will be useful to the advanced undergraduate and graduate students and practitioners in the various fields of science and engineering.