Handbook of Statistical Distributions with Applications
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Specifications
| Publisher | Chapman and Hall/CRC |
| ISBN 13 | 9780367658700 |
| ISBN 10 | 0367658704 |
| Author | K. Krishnamoorthy |
| Book Format | Paperback |
| Language | English |
| Book Description | 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 includes both the author’s StatCalc software and R codes to accurately and easily carry out computations.New to the Second EditionMajor 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 manualsR functions for cases where StatCalc is not applicable, with the codes available onlineThis 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. |
| About the Author | Kalimuthu Krishnamoorthy, Ph.D., is a professor of statistics and SLEMCO Professor of Science at the University of Louisiana at Lafayette. He is an elected fellow of the American Statistical Association and an associate editor of Communications in Statistics. He has published more than 100 articles relating to small sample inference, multivariate analysis, fiducial inference, and statistical methods for exposure data analysis. |
| Language | English |
| Publication Date | 30 September 2020 |
| Number of Pages | 398 pages |
Handbook of Statistical Distributions with Applications
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