Handbook of Statistical Distributions with Applications

K. Krishnamoorthy

ISBN 10: 0367658704 / ISBN 13: 9780367658700

Published by Chapman and Hall/CRC, 2020

About this Item

Handbook of Statistical Distributions with Applications | K. Krishnamoorthy | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2020 | Chapman and Hall/CRC | EAN 9780367658700 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Seller Inventory # 133169322

Bibliographic Details

• Title: Handbook of Statistical Distributions with Applications
• Publisher: Chapman and Hall/CRC
• Publication Date: 2020
• Language: English
• ISBN 10: 0367658704
• ISBN 13: 9780367658700
• Binding: Taschenbuch
• Edition: 2nd Edition
• Condition: Neu
• Dimensions: 234W x 156H x 23D millimeters 234 millimeters width by 156 millimeters height by 23 millimeters depth
• Weight: 644 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.

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.