
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Statistical Distributions
About this book
A new edition of the trusted guide on commonly used statistical distributions
Fully updated to reflect the latest developments on the topic, Statistical Distributions, Fourth Edition continues to serve as an authoritative guide on the application of statistical methods to research across various disciplines. The book provides a concise presentation of popular statistical distributions along with the necessary knowledge for their successful use in data modeling and analysis.
Following a basic introduction, forty popular distributions are outlined in individual chapters that are complete with related facts and formulas. Reflecting the latest changes and trends in statistical distribution theory, the Fourth Edition features:
- A new chapter on queuing formulas that discusses standard formulas that often arise from simple queuing systems
- Methods for extending independent modeling schemes to the dependent case, covering techniques for generating complex distributions from simple distributions
- New coverage of conditional probability, including conditional expectations and joint and marginal distributions
- Commonly used tables associated with the normal (Gaussian), student-t, F and chi-square distributions
- Additional reviewing methods for the estimation of unknown parameters, such as the method of percentiles, the method of moments, maximum likelihood inference, and Bayesian inference
Statistical Distributions, Fourth Edition is an excellent supplement for upper-undergraduate and graduate level courses on the topic. It is also a valuable reference for researchers and practitioners in the fields of engineering, economics, operations research, and the social sciences who conduct statistical analyses.
Frequently asked questions
- Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
- Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Information
Table of contents
- Cover
- Title Page
- Copyright
- Dedication
- Preface
- Chapter 1: Introduction
- Chapter 2: Terms and Symbols
- Chapter 3: General Variate Relationships
- Chapter 4: Multivariate Distributions
- Chapter 5: Stochastic Modeling
- Chapter 6: Parameter Inference
- Chapter 7: Bernoulli Distribution
- Chapter 8: Beta Distribution
- Chapter 9: Binomial Distribution
- Chapter 10: Cauchy Distribution
- Chapter 11: Chi-Squared Distribution
- Chapter 12: Chi-Squared (Noncentral) Distribution
- Chapter 13: Dirichlet Distribution
- Chapter 14: Empirical Distribution Function
- Chapter 15: Erlang Distribution
- Chapter 16: Error Distribution
- Chapter 17: Exponential Distribution
- Chapter 18: Exponential Family
- Chapter 19: Extreme Value (Gumbel) Distribution
- Chapter 20: F (Variance Ratio) or Fisher–Snedecor Distribution
- Chapter 21: F (Noncentral) Distribution
- Chapter 22: Gamma Distribution
- Chapter 23: Geometric Distribution
- Chapter 24: Hypergeometric Distribution
- Chapter 25: Inverse Gaussian (Wald) Distribution
- Chapter 26: Laplace Distribution
- Chapter 27: Logarithmic Series Distribution
- Chapter 28: Logistic Distribution
- Chapter 29: Lognormal Distribution
- Chapter 30: Multinomial Distribution
- Chapter 31: Multivariate Normal (Multinormal) Distribution
- Chapter 32: Negative Binomial Distribution
- Chapter 33: Normal (Gaussian) Distribution
- Chapter 34: Pareto Distribution
- Chapter 35: Poisson Distribution
- Chapter 36: Power Function Distribution
- Chapter 37: Power Series (Discrete) Distribution
- Chapter 38: Queuing Formulas
- Chapter 39: Rayleigh Distribution
- Chapter 40: Rectangular (Uniform) Continuous Distribution
- Chapter 41: Rectangular (Uniform) Discrete Distribution
- Chapter 42: Student's t Distribution
- Chapter 43: Student's t (Noncentral) Distribution
- Chapter 44: Triangular Distribution
- Chapter 45: von Mises Distribution
- Chapter 46: Weibull Distribution
- Chapter 47: Wishart (Central) Distribution
- Chapter 48: Statistical Tables
- Bibliography