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The Inverse Gaussian Distribution
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Book Synopsis The Inverse Gaussian Distribution by : Raj Chhikara
Download or read book The Inverse Gaussian Distribution written by Raj Chhikara and published by CRC Press. This book was released on 1988-09-29 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis The Inverse Gaussian Distribution by : V. Seshadri
Download or read book The Inverse Gaussian Distribution written by V. Seshadri and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is written in the hope that it will serve as a companion volume to my first monograph. The first monograph was largely devoted to the probabilistic aspects of the inverse Gaussian law and therefore ignored the statistical issues and related data analyses. Ever since the appearance of the book by Chhikara and Folks, a considerable number of publications in both theory and applications of the inverse Gaussian law have emerged thereby justifying the need for a comprehensive treatment of the issues involved. This book is divided into two sections and fills up the gap updating the material found in the book of Chhikara and Folks. Part I contains seven chapters and covers distribution theory, estimation, significance tests, goodness-of-fit, sequential analysis and compound laws and mixtures. The first part forms the backbone of the theory and wherever possible I have provided illustrative examples for easy assimilation of the theory. The second part is devoted to a wide range of applications from various disciplines. The applied statistician will find numerous instances of examples which pertain to a first passage time situation. It is indeed remarkable that in the fields of life testing, ecology, entomology, health sciences, traffic intensity and management science the inverse Gaussian law plays a dominant role. Real life examples from actuarial science and ecology came to my attention after this project was completed and I found it impossible to include them.
Book Synopsis Statistical Properties of the Generalized Inverse Gaussian Distribution by : B. Jorgensen
Download or read book Statistical Properties of the Generalized Inverse Gaussian Distribution written by B. Jorgensen and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 197 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis The Inverse Gaussian Distribution by : V. Seshadri
Download or read book The Inverse Gaussian Distribution written by V. Seshadri and published by . This book was released on 1998-10-30 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Handbook of Percentage Points of the Inverse Gaussian Distributions by : James A. Koziol
Download or read book Handbook of Percentage Points of the Inverse Gaussian Distributions written by James A. Koziol and published by CRC Press. This book was released on 2018-01-18 with total page 333 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this handbook is to provide comprehensive tables of percentage points of the inverse Gaussian distribution. There is no other publication available today which condenses these tables - to such extent-in a concise, straightforward manner. The inverse Gaussian distribution is not only important for determining boundary crossing probabilities of Brownian Motion, which probabilities determine the operating characteristics of many sequential sampling procedures in statistics. It is also used in quality control procedures. This one-of-a-kind work includes a brief introductory section which outlines the inverse Gaussian distribution and explains the tables. The tables are produced in a fine grid of cumulative probabilities, and uses the closed form expression for the cumulative distribution function. This easy-to-use table reference also includes an excellent discussion of searching ordered tables. This handbook is a helpful, indispensable guide for all who are involved with statistics, mathematics, and computers. Mechanical engineers and physicists will find it useful also.
Book Synopsis Modeling Count Data by : Joseph M. Hilbe
Download or read book Modeling Count Data written by Joseph M. Hilbe and published by Cambridge University Press. This book was released on 2014-07-21 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This entry-level text offers clear and concise guidelines on how to select, construct, interpret, and evaluate count data. Written for researchers with little or no background in advanced statistics, the book presents treatments of all major models using numerous tables, insets, and detailed modeling suggestions. It begins by demonstrating the fundamentals of linear regression and works up to an analysis of the Poisson and negative binomial models, and to the problem of overdispersion. Examples in Stata, R, and SAS code enable readers to adapt models for their own purposes, making the text an ideal resource for researchers working in public health, ecology, econometrics, transportation, and other related fields"--
Book Synopsis The Inverse Gaussian Distribution by : Shamsul Alam
Download or read book The Inverse Gaussian Distribution written by Shamsul Alam and published by . This book was released on 1981 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Statistical Properties of the Generalized Inverse Gaussian Distribution by : Bent Jorgensen
Download or read book Statistical Properties of the Generalized Inverse Gaussian Distribution written by Bent Jorgensen and published by . This book was released on 1982 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis CRC Handbook of Tables for Order Statistics from Inverse Gaussian Distributions with Applications by : N. Balakrishnan
Download or read book CRC Handbook of Tables for Order Statistics from Inverse Gaussian Distributions with Applications written by N. Balakrishnan and published by Routledge. This book was released on 2017-11-22 with total page 701 pages. Available in PDF, EPUB and Kindle. Book excerpt: First derived within the context of life-testing, inverse Gaussian distribution has become one of the most important and widely employed distributions, and is often used to model the lifetimes of components. It is also used as a model in many varied applications, including fatigue analysis, economic prediction analysis, and the analysis of extreme events such as rainfall and flood levels. The interesting features and properties of this distribution make it an important and realistic model in a variety of problems across numerous disciplines. Because of the broad range of applications, this handbook will be useful not only to members of the statistical community but will also appeal to applied scientists, engineers, econometricians, and anyone who desires a thorough evaluation of this important topic.
Book Synopsis The Inverse Gaussian Distribution by : V. Seshadri
Download or read book The Inverse Gaussian Distribution written by V. Seshadri and published by Oxford University Press on Demand. This book was released on 1993 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book begins with a historical survey of `generalized inverse Gaussian laws', in which the wartime contribution of Etienne Halphen is presented for the first time. The inverse Gaussian distribution, its properties, and its implications are set in a wide perspective. The concepts of inversion and inverse natural exponential functions are presented, together with an analysis of the `Tweedie' scale, of which the Gaussian distribution is an important specialcase. Chapter 2 concerns the basic theory of exponential functions, focusing on the inverse Gaussian Law. Chapter 3 is devoted to various characterization results, while Chapter 4 is concerned with the construction of multivariate distributions, and the relationship to simplex distributions,combinations, and finite mixtures. Chapter 5 introduces the concept of inverse natural exponential functions and Chapter 6 presents useful statistical results. Up-to-date research is presented in the form of exercises, a special chapter on characterizations is included, and a summary of statistical issues concerning estimation and interference are provided. Research workers will find inspiration for further investigations.
Book Synopsis Seminar on Stochastic Analysis, Random Fields and Applications IV by : Robert Dalang
Download or read book Seminar on Stochastic Analysis, Random Fields and Applications IV written by Robert Dalang and published by Birkhäuser. This book was released on 2012-12-06 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains twenty refereed papers presented at the 4th Seminar on Stochastic Processes, Random Fields and Applications, which took place in Ascona, Switzerland, from May 2002. The seminar focused mainly on stochastic partial differential equations, stochastic models in mathematical physics, and financial engineering. The book will be a valuable resource for researchers in stochastic analysis and professionals interested in stochastic methods in finance and insurance.
Book Synopsis HDBK OF PERCENTAGE POINTS OF INVERSE GAUSSIAN DISTRIBUTION by : James A. Koziol
Download or read book HDBK OF PERCENTAGE POINTS OF INVERSE GAUSSIAN DISTRIBUTION written by James A. Koziol and published by CRC Press. This book was released on 1989-10-31 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Spine title: Handbook of percentage points of the Inverse Gaussian distribution.
Book Synopsis Statistical Properties of the Generalized Inverse Gaussian Distribution by : Bent Jørgensen
Download or read book Statistical Properties of the Generalized Inverse Gaussian Distribution written by Bent Jørgensen and published by Springer. This book was released on 2012-10-20 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Level-crossing Problems and Inverse Gaussian Distributions by : Vsevolod K. Malinovskii
Download or read book Level-crossing Problems and Inverse Gaussian Distributions written by Vsevolod K. Malinovskii and published by . This book was released on 2022 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Level-Crossing Problems and Inverse Gaussian Distributions: Closed-Form Results and Approximations focusses on inverse Gaussian approximation for the distribution of the first level-crossing time in a shifted compound renewal process framework. This approximation, whose name was coined by the author, is a successful competitor of the normal (or Cramér's), diffusion, and Teugels' approximations, being a breakthrough in its conditions and accuracy. Since such approximations underlie numerous applications in risk theory, queueing theory, reliability theory, mathematical theory of dams and inventories, this book is of interest not only to professional mathematicians, but also to physicists, engineers, and economists. People from industry, with theoretical background in level-crossing problem, e.g., from the insurance industry, can benefit from reading this book. Features Primarily aimed at researchers and postgraduates, but may be of interest to some professionals working in related fields, such as the insurance industry Suitable for advanced courses in Applied Probability and, as a supplementary reading, for basic courses in Applied Probability
Book Synopsis Life Distributions by : Albert W. Marshall
Download or read book Life Distributions written by Albert W. Marshall and published by Springer Science & Business Media. This book was released on 2007-10-13 with total page 785 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is devoted to the study of univariate distributions appropriate for the analyses of data known to be nonnegative. The book includes much material from reliability theory in engineering and survival analysis in medicine.
Book Synopsis Gaussian Processes for Machine Learning by : Carl Edward Rasmussen
Download or read book Gaussian Processes for Machine Learning written by Carl Edward Rasmussen and published by MIT Press. This book was released on 2005-11-23 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive and self-contained introduction to Gaussian processes, which provide a principled, practical, probabilistic approach to learning in kernel machines. Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning community over the past decade, and this book provides a long-needed systematic and unified treatment of theoretical and practical aspects of GPs in machine learning. The treatment is comprehensive and self-contained, targeted at researchers and students in machine learning and applied statistics. The book deals with the supervised-learning problem for both regression and classification, and includes detailed algorithms. A wide variety of covariance (kernel) functions are presented and their properties discussed. Model selection is discussed both from a Bayesian and a classical perspective. Many connections to other well-known techniques from machine learning and statistics are discussed, including support-vector machines, neural networks, splines, regularization networks, relevance vector machines and others. Theoretical issues including learning curves and the PAC-Bayesian framework are treated, and several approximation methods for learning with large datasets are discussed. The book contains illustrative examples and exercises, and code and datasets are available on the Web. Appendixes provide mathematical background and a discussion of Gaussian Markov processes.
Book Synopsis Level-Crossing Problems and Inverse Gaussian Distributions by : Vsevolod K. Malinovskii
Download or read book Level-Crossing Problems and Inverse Gaussian Distributions written by Vsevolod K. Malinovskii and published by CRC Press. This book was released on 2021-07-26 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: Level-Crossing Problems and Inverse Gaussian Distributions: Closed-Form Results and Approximations focusses on the inverse Gaussian approximation for the distribution of the first level-crossing time in a shifted compound renewal process framework. This approximation, whose name was coined by the author, is a successful competitor of the normal (or Cramér's), diffusion, and Teugels’ approximations, being a breakthrough in its conditions and accuracy. Since such approximations underlie numerous applications in risk theory, queueing theory, reliability theory, and mathematical theory of dams and inventories, this book is of interest not only to professional mathematicians, but also to physicists, engineers, and economists. People from industry, with a theoretical background in level-crossing problems, e.g., from the insurance industry, can also benefit from reading this book. Features: Primarily aimed at researchers and postgraduates, but may be of interest to some professionals working in related fields, such as the insurance industry Suitable for advanced courses in Applied Probability and, as a supplementary reading, for basic courses in Applied Probability
