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Handbook of Statistical Distributions with Applications

Authored by: K. Krishnamoorthy

Print publication date:  October  2015
Online publication date:  January  2016

Print ISBN: 9781498741491
eBook ISBN: 9781498741507
Adobe ISBN:

10.1201/b19191
 Cite  Marc Record

Book description

Easy-to-Use Reference and Software for Statistical Modeling and Testing

Handbook 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 includes both the author?s StatCalc software and R codes to accurately and easily carry out computations.

New to the Second Edition

  • Major changes in binomial, Poisson, normal, gamma, Weibull, exponential, logistic, Laplace, and Pareto distributions
  • Updated statistical tests and intervals based on recent publications in statistical journals
  • Enhanced PC calculator StatCalc with electronic help manuals
  • R functions for cases where StatCalc is not applicable, with the codes available online

This highly praised handbook integrates popular probability distribution models, formulas, applications, and software to help you compute a variety of statistical intervals. It covers probability and percentiles, algorithms for random number generation, hypothesis tests, confidence intervals, tolerance intervals, prediction intervals, sample size determination, and much more.

Table of contents

Chapter  1:  Stat Calc Download PDF
Chapter  2:  Preliminaries Download PDF
Chapter  3:  Discrete Uniform Distribution Download PDF
Chapter  4:  Binomial Distribution Download PDF
Chapter  5:  Hypergeometric Distribution Download PDF
Chapter  6:  Poisson Distribution Download PDF
Chapter  7:  Geometric Distribution Download PDF
Chapter  8:  Negative Binomial Distribution Download PDF
Chapter  9:  Logarithmic Series Distribution Download PDF
Chapter  10:  Continuous Uniform Distribution Download PDF
Chapter  11:  Normal Distribution Download PDF
Chapter  12:  Chi-Square Distribution Download PDF
Chapter  13:  F Distribution Download PDF
Chapter  14:  Student's t Distribution Download PDF
Chapter  15:  Exponential Distribution Download PDF
Chapter  16:  Gamma Distribution Download PDF
Chapter  17:  Beta Distribution Download PDF
Chapter  18:  Noncentral Chi–square Distribution Download PDF
Chapter  19:  Noncentral F Distribution Download PDF
Chapter  20:  Noncentral t Distribution Download PDF
Chapter  21:  Laplace Distribution Download PDF
Chapter  22:  Logistic Distribution Download PDF
Chapter  23:  Lognormal Distribution Download PDF
Chapter  24:  Pareto Distribution Download PDF
Chapter  25:  Weibull Distribution Download PDF
Chapter  26:  Extreme Value Distribution Download PDF
Chapter  27:  Cauchy Distribution Download PDF
Chapter  28:  Inverse Gaussian Distribution Download PDF
Chapter  29:  Rayleigh Distribution Download PDF
Chapter  30:  Bivariate Normal Distribution Download PDF
Chapter  31:  Some Nonparametric Methods Download PDF
References Download PDF
prelims Download PDF
Index Download PDF
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