Forecasting from Known Distributions

Why Does the Phone Never Stop Ringing?
  • Peter Kenny
Chapter

Abstract

The normal distribution has featured prominently in previous chapters because it is found to appropriately describe the data obtained in numerous situations. If there is good reason to believe in advance that the normal distribution will apply, then predictions can be made regarding future observations. Many other distributions are found to apply in certain circumstances, and, in a similar way, these can provide useful estimates of future outcomes. This chapter describes several of the commonly used distributions and gives examples of their use in forecasting.

Keywords

Poisson Distribution Exponential Distribution Binomial Distribution Weibull Distribution Cumulative Probability 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Peter Kenny 2014

Authors and Affiliations

  • Peter Kenny
    • 1
  1. 1.StaffordshireUK

Personalised recommendations