Mixtures of Exponential Distributions to Describe the Distribution of Poisson Means in Estimating the Number of Unobserved Classes PDF Download
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Author: Kathryn Jo-Anne Barger
Publisher:
ISBN:
Category :
Languages : en
Pages : 228
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Author: Kathryn Jo-Anne Barger
Publisher:
ISBN:
Category :
Languages : en
Pages : 228
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Author:
Publisher:
ISBN:
Category : Microbial ecology
Languages : en
Pages : 460
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Author: B. Everitt
Publisher: Springer
ISBN:
Category : Juvenile Nonfiction
Languages : en
Pages : 160
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Book Description
General introduction; Mixtures of normal distributions; Mixtures of exponential and other continuous distributions; Mixtures of discrete distributions; Miscellaneous topics.
Author: Andrew C. Harvey
Publisher: Oxford University Press, USA
ISBN: 0199278695
Category : Business & Economics
Languages : en
Pages : 475
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Book Description
This volume presents a collection of readings which give the reader an idea of the nature and scope of unobserved components (UC) models and the methods used to deal with them. The book is intended to give a self-contained presentation of the methods and applicative issues. Harvey has made major contributions to this field and provides substantial introductions throughout the book to form a unified view of the literature. About the Series Advanced Texts in Econometrics is a distinguished and rapidly expanding series in which leading econometricians assess recent developments in such areas as stochastic probability, panel and time series data analysis, modeling, and cointegration. In both hardback and affordable paperback, each volume explains the nature and applicability of a topic in greater depth than possible in introductory textbooks or single journal articles. Each definitive work is formatted to be as accessible and convenient for those who are not familiar with the detailed primary literature.
Author: A. Clifford Cohen
Publisher:
ISBN:
Category : Distribution (Probability theory)
Languages : en
Pages : 29
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Book Description
Author: K. Balakrishnan
Publisher: Routledge
ISBN: 1351449125
Category : Mathematics
Languages : en
Pages : 664
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Book Description
The exponential distribution is one of the most significant and widely used distribution in statistical practice. It possesses several important statistical properties, and yet exhibits great mathematical tractability. This volume provides a systematic and comprehensive synthesis of the diverse literature on the theory and applications of the expon
Author: Janos Galambos
Publisher: Springer
ISBN: 3540357335
Category : Mathematics
Languages : en
Pages : 177
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Author: Essam K. AL-Hussaini
Publisher: Springer
ISBN: 9462390797
Category : Mathematics
Languages : bn
Pages : 149
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Book Description
This book contains entirely new results, not to be found elsewhere. Furthermore, additional results scattered elsewhere in the literature are clearly presented. Several well-known distributions such as Weibull distributions, exponentiated Burr type XII distributions and exponentiated exponential distributions and their properties are demonstrated. Analysis of real as well as well-simulated data are analyzed. A number of inferences based on a finite mixture of distributions are also presented.
Author: Frank A. Haight
Publisher:
ISBN:
Category : Poisson distribution
Languages : en
Pages : 192
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Author: Source Wikipedia
Publisher: University-Press.org
ISBN: 9781230488882
Category :
Languages : en
Pages : 24
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Book Description
Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Pages: 23. Chapters: (a, b,0) class of distributions, Copula (probability theory), Exponential family, Mixture distribution, Natural exponential family, Pearson distribution, Tweedie distributions. Excerpt: In probability and statistics, an exponential family is an important class of probability distributions sharing a certain form, specified below. This special form is chosen for mathematical convenience, on account of some useful algebraic properties, as well as for generality, as exponential families are in a sense very natural distributions to consider. The concept of exponential families is credited to E. J. G. Pitman, G. Darmois, and B. O. Koopman in 1935-36. The term exponential class is sometimes used in place of "exponential family." The exponential families include many of the most common distributions, including the normal, exponential, gamma, chi-squared, beta, Dirichlet, Bernoulli, categorical, Poisson, Wishart, Inverse Wishart and many others. A number of common distributions are exponential families only when certain parameters are considered fixed and known, e.g. binomial (with fixed number of trials), multinomial (with fixed number of trials), and negative binomial (with fixed number of failures). Examples of common distributions that are not exponential families are Student's t, most mixture distributions, and even the family of uniform distributions with unknown bounds. See the section below on examples for more discussion. Consideration of exponential-family distributions provides a general framework for selecting a possible alternative parameterisation of the distribution, in terms of natural parameters, and for defining useful sample statistics, called the natural sufficient statistics of the family. See below for more information. The following is a sequence of increasingly general definitions of an exponential...
