Analysis with standard contagious distributions
Read Online
Share

Analysis with standard contagious distributions

  • 214 Want to read
  • ·
  • 3 Currently reading

Published by International Co-operative Pub. House in Fairland, Md .
Written in English

Subjects:

  • Contagious distributions.,
  • Mathematical statistics.

Book details:

Edition Notes

StatementJ.B. Douglas.
SeriesStatistical distributions in scientific work series ;, v. 4
Classifications
LC ClassificationsQA273.6 .D68
The Physical Object
Paginationxiv, 520 p. :
Number of Pages520
ID Numbers
Open LibraryOL4123953M
ISBN 10089974012X
LC Control Number80080755

Download Analysis with standard contagious distributions

PDF EPUB FB2 MOBI RTF

  The term contagious distribution was apparently first used by Neyman for a discrete distribution that exhibits clustering or contagious classical Neyman Type A distribution is one well-known example. However, contagious distributions are used nowadays to describe a plethora of distributions, many of which possess complicated probability distribution expressed in terms of .   The book provides a concise presentation of popular statistical distributions along with the necessary knowledge for their successful use in data modeling and analysis. Following a basic introduction, forty popular distributions are outlined in individual chapters that are complete with related facts and :   In the paper entitled “A Generalized Class of Contagious Distributions”, Gurland () has presented a brief review of the classical approach to the development of Neyman Type A distribution. By imposing a distribution on one of the intermediate parameters involved, he obtains the generalized class. We have obtained a completely different class of contagious distributions by Cited by: 5. Table Normal Distribution Function −FN(x) Table Percentiles of the Chi-Squared χ2: ν Distribution, G(1 −α) Table Percentiles of the F: ν,ω Distribution Table Percentiles of the Student’s t Distribution Table Partial Expectations for the Standard Normal Distribution Bibliography

Grubb's recent Distributions And Operators is supposed to be quite good.. There's also the recommended reference work, Strichartz, R. (), A Guide to Distribution Theory and Fourier Transforms The comprehensive treatise on the subject-although quite old now-is Gel'fand, I.M.; Shilov, G.E. (–), Generalized functions, 1–5,. A very good,though quite advanced,source that's now.   Contagious Book Review “Contagious” is easy to read, insightful and highly applicable. It makes a great pair with a few more books on marketing and influencing such as “Make to Stick“, “The Tipping Point“, “Triggers“, “Brandwashed” and “Influence“, the big classic by Cialdini. Internal Report SUF–PFY/96–01 Stockholm, 11 December 1st revision, 31 October last modification 10 September Hand-book on STATISTICAL. Exponential distribution F distribution Gamma distribution Gumbel and extreme value distributions Normal distribution Pareto distribution Student's t-distribution (Fisher's distribution) Uniform distribution von Mises distribution

as an electronic book at the DESY library. The present book is addressed mainly to master and Ph.D. students but also to physicists who are interested to get an intro-duction into recent developments in statistical methods of data analysis in particle physics. When reading the book, some parts can be skipped, especially in the first five.   The book provides a concise presentation of popular statistical distributions along with the necessary knowledge for their successful use in data modeling and analysis. Following a basic introduction, forty popular distributions are outlined in individual chapters that are complete with related facts and formulas. This chapter considers criteria and tests to assess whether the distribution of organisms conforms to a random, a regular or a contagious (over-dispersed) distribution. Such tests include the Fisher index of dispersion, the likelihood ratio index (G) and the goodness of fit to a particular distribution model. Probability Distributions for Continuous Random Variables Mean and Standard Deviation of a Random Variable Binomial and Geometric Distributions Normal Distributions Checking for Normality and Normalizing Transformations Using the Normal Distribution to Approximate a Discrete Distribution