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Handbook of the Normal Distribution, Second Edition

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Release : 1996-01-16
Genre : Mathematics
Kind : eBook
Book Rating : 425/5 ( reviews)

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Book Synopsis Handbook of the Normal Distribution, Second Edition by : Jagdish K. Patel

Download or read book Handbook of the Normal Distribution, Second Edition written by Jagdish K. Patel. This book was released on 1996-01-16. Available in PDF, EPUB and Kindle. Book excerpt: "Traces the historical development of the normal law. Second Edition offers a comprehensive treatment of the bivariate normal distribution--presenting entirely new material on normal integrals, asymptotic normality, the asymptotic properties of order statistics, and point estimation and statistical intervals."

Handbook of the Normal Distribution

Download Handbook of the Normal Distribution PDF Online Free

Author :
Release : 1982
Genre : Mathematics
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Handbook of the Normal Distribution by : Jagdish K. Patel

Download or read book Handbook of the Normal Distribution written by Jagdish K. Patel. This book was released on 1982. Available in PDF, EPUB and Kindle. Book excerpt: A collection of results relating to the normal distribution, tracing the historical development of normal law and providing a compendium of properties. The revised edition introduces the most current estimation procedures for normally distributed samples for researchers and students in theoretical and applied statistics, including expanded treatments of: bivariate normal distribution, normal integrals, Mills' ratio, asymptotic normality, point estimation, and statistical intervals. Annotation copyright by Book News, Inc., Portland, OR

Handbook of Statistical Distributions with Applications

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Release : 2016-01-05
Genre : Mathematics
Kind : eBook
Book Rating : 509/5 ( reviews)

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Book Synopsis Handbook of Statistical Distributions with Applications by : K. Krishnamoorthy

Download or read book Handbook of Statistical Distributions with Applications written by K. Krishnamoorthy. This book was released on 2016-01-05. Available in PDF, EPUB and Kindle. Book excerpt: Easy-to-Use Reference and Software for Statistical Modeling and TestingHandbook of Statistical Distributions with Applications, Second Edition provides quick access to common and specialized probability distributions for modeling practical problems and performing statistical calculations. Along with many new examples and results, this edition inclu

Handbook of Statistical Distributions with Applications

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Author :
Release : 2006-06-19
Genre : Mathematics
Kind : eBook
Book Rating : 375/5 ( reviews)

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Book Synopsis Handbook of Statistical Distributions with Applications by : K. Krishnamoorthy

Download or read book Handbook of Statistical Distributions with Applications written by K. Krishnamoorthy. This book was released on 2006-06-19. Available in PDF, EPUB and Kindle. Book excerpt: In the area of applied statistics, scientists use statistical distributions to model a wide range of practical problems, from modeling the size grade distribution of onions to modeling global positioning data. To apply these probability models successfully, practitioners and researchers must have a thorough understanding of the theory as well as a

Handbook of Tables for Order Statistics from Lognormal Distributions with Applications

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Release : 1999-03-31
Genre : Mathematics
Kind : eBook
Book Rating : 124/5 ( reviews)

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Book Synopsis Handbook of Tables for Order Statistics from Lognormal Distributions with Applications by : N Balakrishnan

Download or read book Handbook of Tables for Order Statistics from Lognormal Distributions with Applications written by N Balakrishnan. This book was released on 1999-03-31. Available in PDF, EPUB and Kindle. Book excerpt: Lognormal distributions are one of the most commonly studied models in the sta tistical literature while being most frequently used in the applied literature. The lognormal distributions have been used in problems arising from such diverse fields as hydrology, biology, communication engineering, environmental science, reliability, agriculture, medical science, mechanical engineering, material science, and pharma cology. Though the lognormal distributions have been around from the beginning of this century (see Chapter 1), much of the work concerning inferential methods for the parameters of lognormal distributions has been done in the recent past. Most of these methods of inference, particUlarly those based on censored samples, involve extensive use of numerical methods to solve some nonlinear equations. Order statistics and their moments have been discussed quite extensively in the literature for many distributions. It is very well known that the moments of order statistics can be derived explicitly only in the case of a few distributions such as exponential, uniform, power function, Pareto, and logistic. In most other cases in cluding the lognormal case, they have to be numerically determined. The moments of order statistics from a specific lognormal distribution have been tabulated ear lier. However, the moments of order statistics from general lognormal distributions have not been discussed in the statistical literature until now primarily due to the extreme computational complexity in their numerical determination.

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