ABSTRACT

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

chapter 1|8 pages

- StatCalc

chapter 2|24 pages

- Preliminaries

part |2 pages

Discrete Distributions

chapter 3|2 pages

- Discrete Uniform Distribution

chapter 4|36 pages

- Binomial Distribution

chapter 5|16 pages

- Hypergeometric Distribution

chapter 6|26 pages

- Poisson Distribution

chapter 7|4 pages

- Geometric Distribution

chapter 8|10 pages

- Negative Binomial Distribution

chapter 9|8 pages

- Logarithmic Series Distribution

part |2 pages

Continuous Distributions

chapter 10|4 pages

- Continuous Uniform Distribution

chapter 11|40 pages

- Normal Distribution

chapter 12|6 pages

- Chi-Square Distribution

chapter 13|6 pages

- F Distribution

chapter 14|8 pages

- Student’s t Distribution

chapter 15|12 pages

- Exponential Distribution

chapter 16|32 pages

- Gamma Distribution

chapter 17|12 pages

- Beta Distribution

chapter 18|8 pages

- Noncentral Chi-square Distribution

chapter 19|8 pages

- Noncentral F Distribution

chapter 20|8 pages

- Noncentral t Distribution

chapter 21|12 pages

- Laplace Distribution

chapter 22|10 pages

- Logistic Distribution

chapter 23|10 pages

- Lognormal Distribution

chapter 24|6 pages

- Pareto Distribution

chapter 25|10 pages

- Weibull Distribution

chapter 26|12 pages

- Extreme Value Distribution

chapter 27|4 pages

- Cauchy Distribution

chapter 28|6 pages

- Inverse Gaussian Distribution

chapter 29|4 pages

- Rayleigh Distribution

chapter 30|12 pages

- Bivariate Normal Distribution

chapter 31|14 pages

- Some Nonparametric Methods