Handbook of Statistical Distributions with Applications

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2? Confidence Interval
2α Confidence Interval
A01=K. Krishnamoorthy
advanced hypothesis testing
Author_K. Krishnamoorthy
box
Category=PBT
confidence
confidence intervals
cumulative
Cumulative Distribution Function
Cumulative Probability
Denominator Df
density
dialog
Dialog Box
Distribution Function
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Follow
function
Generalized Variable Approach
GPQ
Groundwater Monitoring
Independent Standard Normal Random Variables
interval
Inverse Distribution Function
Linear Combination of Binomial Proportions
Logarithmic Gamma Function
Lower Confidence Limit
Lower Tolerance Limit
Modified Large Sample Approach
Noncentrality Parameter
Nonparametric methods
parametric distributions
Pdf
Pivotal Quantity
Power Calculation
Prediction Intervals
probability
Probability Density Function
probability distribution models
probability modeling
Pth Quantile
R codes for calculating distributions
R statistical computing
random
random number algorithms
Random Number Generations
Random Variable
Relative Risk
Sample Size Calculation
StatCalc
statistical inference methods
statistical interval calculation guide
Tolerance Intervals
Tolerance Limits
variable

Product details

  • ISBN 9780367658700
  • Weight: 780g
  • Dimensions: 156 x 234mm
  • Publication Date: 30 Sep 2020
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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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.

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.

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