Statistical Distributions
eBook - ePub

Statistical Distributions

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

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.

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Yes, you can access Statistical Distributions by Catherine Forbes,Merran Evans,Nicholas Hastings,Brian Peacock in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Wiley
Year
2011
Print ISBN
9780470390634
eBook ISBN
9781118097823

Table of contents

  1. Cover
  2. Title Page
  3. Copyright
  4. Dedication
  5. Preface
  6. Chapter 1: Introduction
  7. Chapter 2: Terms and Symbols
  8. Chapter 3: General Variate Relationships
  9. Chapter 4: Multivariate Distributions
  10. Chapter 5: Stochastic Modeling
  11. Chapter 6: Parameter Inference
  12. Chapter 7: Bernoulli Distribution
  13. Chapter 8: Beta Distribution
  14. Chapter 9: Binomial Distribution
  15. Chapter 10: Cauchy Distribution
  16. Chapter 11: Chi-Squared Distribution
  17. Chapter 12: Chi-Squared (Noncentral) Distribution
  18. Chapter 13: Dirichlet Distribution
  19. Chapter 14: Empirical Distribution Function
  20. Chapter 15: Erlang Distribution
  21. Chapter 16: Error Distribution
  22. Chapter 17: Exponential Distribution
  23. Chapter 18: Exponential Family
  24. Chapter 19: Extreme Value (Gumbel) Distribution
  25. Chapter 20: F (Variance Ratio) or Fisher–Snedecor Distribution
  26. Chapter 21: F (Noncentral) Distribution
  27. Chapter 22: Gamma Distribution
  28. Chapter 23: Geometric Distribution
  29. Chapter 24: Hypergeometric Distribution
  30. Chapter 25: Inverse Gaussian (Wald) Distribution
  31. Chapter 26: Laplace Distribution
  32. Chapter 27: Logarithmic Series Distribution
  33. Chapter 28: Logistic Distribution
  34. Chapter 29: Lognormal Distribution
  35. Chapter 30: Multinomial Distribution
  36. Chapter 31: Multivariate Normal (Multinormal) Distribution
  37. Chapter 32: Negative Binomial Distribution
  38. Chapter 33: Normal (Gaussian) Distribution
  39. Chapter 34: Pareto Distribution
  40. Chapter 35: Poisson Distribution
  41. Chapter 36: Power Function Distribution
  42. Chapter 37: Power Series (Discrete) Distribution
  43. Chapter 38: Queuing Formulas
  44. Chapter 39: Rayleigh Distribution
  45. Chapter 40: Rectangular (Uniform) Continuous Distribution
  46. Chapter 41: Rectangular (Uniform) Discrete Distribution
  47. Chapter 42: Student's t Distribution
  48. Chapter 43: Student's t (Noncentral) Distribution
  49. Chapter 44: Triangular Distribution
  50. Chapter 45: von Mises Distribution
  51. Chapter 46: Weibull Distribution
  52. Chapter 47: Wishart (Central) Distribution
  53. Chapter 48: Statistical Tables
  54. Bibliography