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Free eBook A Primer on Statistical Distributions download

by V. B. Nevzorov,N. Balakrishnan

Free eBook A Primer on Statistical Distributions download ISBN: 0471427985
Author: V. B. Nevzorov,N. Balakrishnan
Publisher: Wiley-Interscience; 1 edition (July 3, 2003)
Language: English
Pages: 328
Category: Math Science
Subcategory: Mathematics
Size MP3: 1128 mb
Size FLAC: 1420 mb
Rating: 4.2
Format: azw lrf lit doc


Designed as an introduction to statistical distribution theory. Remaining chapters are divided into three parts: Discrete Distributions, Continuous Distributions, and Multivariate Distributions.

Designed as an introduction to statistical distribution theory. Includes a first chapter on basic notations and definitions that are essential to working with distributions.

A Primer on Statistical Distributions begins with an informativefirst chapter on preliminary notations, definitions, and theconcepts that are necessary to work effectively with distributions. Subsequent chapters are divided into three parts:discrete distributions, continuous distributions, and tions

A Primer on Statistical Distributions. N. Balakrishnan and V. B. Nevzorov," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 568-568, January.

A Primer on Statistical Distributions. Handle: RePEc:bes:jnlasa:v:99:y:2004:p:568-568. as. HTML HTML with abstract plain text plain text with abstract BibTeX RIS (EndNote, RefMan, ProCite) ReDIF JSON.

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A Primer on Statistical Distributions book.

title "A primer on statistical distributions", author "N. Balakrishnan and . T1 - A primer on statistical distributions. AU - Balakrishnan, N. AU - Nevzorov, . BT - A primer on statistical distributions. PB - Wiley-Blackwell. ER -. Balakrishnan N, Nevzorov VB. A primer on statistical distributions. Wiley-Blackwell, 2003.

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Поиск книг BookFi BookSee - Download books for free. 2 Mb. Balakrishnan . Prikladnoj funkcional analiz (Nauka, 1980)(KA)(ru)(T)(384s) MCf. Категория: Mathematics, Probability, Statistics and applications.

A PRIMER ON STATISTICAL DISTRIBUTIONS N. BALAKRISHNAN McMaster University Hamilton, Canada V. . NEVZOROV St. Petersbu. Statistical Distributions.

N Balakrishnan, N Balakrishnan, R Aggarwala. Springer Science & Business Media, 2000. N Balakrishnan, VB Nevzorov. John Wiley & Sons, 2004. N Balakrishnan, AC Cohen. Independent component analysis: a tutorial introduction. Continuous bivariate distributions. On families of beta-and generalized gamma-generated distributions and associated inference. K Zografos, N Balakrishnan. Statistical Methodology 6 (4), 344-362, 2009.

Book Publishing WeChat. Balakrishnan, N. and Nevzorov, . 2004) A Primer on Statistical Distributions.

Designed as an introduction to statistical distributiontheory.* Includes a first chapter on basic notations and definitions thatare essential to working with distributions.* Remaining chapters are divided into three parts: DiscreteDistributions, Continuous Distributions, and MultivariateDistributions.* Exercises are incorporated throughout the text in order toenhance understanding of materials just taught.
User reviews
Uttegirazu
The book was as described and a timely delivery without damage.
Xinetan
This book is a nearly exhaustive treatment of all the different probability distributions and state spaces and measurable subsets.

The work covers discrete probability distributions and continuous probability distributions and includes explication of Bernoulli, Rademacher, binomial, and the degenerate distribution (my favourite! With random input into a deterministic function!). Others include hypergeometric distribution, Zipf distribution. And other power laws, Boltzmann, Gibbs, Maxwell-Boltzmann, Bose-Einstein, and Fermi-Dirac distributions (big in physics).

The Poisson distribution is both not a fish and useless for prediction of fish stock scales, but can be useful for how high fish jump. Skellaman and Yule-Simon too (mini-Poisson).

The logarithmic (series) distributions and the negative binomial distribution, get their own treatment, as does parabolic fractal distributions (Mandelbrot ahoy!).

The zeta distribution is covered well and its application to physical sciences, mechanics, and construction and robustness of materials should attract new interest in today's world of collapsed bridges.

Special case distributions like Beta, truncated normal, Kent, Weibulll are treated okay, and standard textbook chi, noncentral chi, gama, Levy, Wald, Rice, Rayleigh, Pareto (important!) and Gumble are here too.

Cauchy, Fisher-Tppett and joint distributions are also covered as well as some indications of copula, but naturally refer to other texts.