Continuous Univariate Distributions, Vol. 1 (Wiley Series in Probability and Statistics)

The definitive reference for statistical distributions

Continuous Univariate Distributions, Volume 1 offers comprehensive guidance toward the most commonly used statistical distributions, including normal, lognormal, inverse Gaussian, Pareto, Cauchy, gamma distributions and more. Each distribution includes clear definitions and properties, plus methods of inference, applications, algorithms, characterizations, and reference to other related distributions. Organized for easy navigation and quick reference, this book is an invaluable resource for investors, data analysts, or anyone working with statistical distributions on a regular basis.

• Continuous Univariate Distributions, Vol. 2 (Wiley Series in Probability and Statistics)
• Discrete Multivariate Distributions
• Continuous Multivariate Distributions, Volume 1: Models and Applications
• Univariate Discrete Distributions
• Statistical Regression and Classification: From Linear Models to Machine Learning (Chapman & Hall/CRC Texts in Statistical Science)
• Stochastic Processes: Theory for Applications
• Sample Size Determination and Power
• Modern Epidemiology