PROBABILITIES OF THE STOCHASTIC VARIATIONS OF WET AND DRY DAYS.

Abstract

In the paper, the probabilities of the stochastic variations of wet and dry days are evaluated by means of regular Markov chains. The computed results are found to be useful in supplementing single-station forecasts. A recursion formula of high order transition probabilities is also derived directly from conditional probabilities and the computed results from this formula are concordant with those calculated from Markov chains. In addition, it is shown that a formula for determining the sampling values of high order transition probabilities may be obtained from the above recursion formula. These values are found to be useful in determining the adequacy of the computed results from Markov chains in representing the observed situations. (Author)

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1967
Accession Number
AD0660538

Entities

People

  • C. S. Yao

Organizations

  • Emmanuel College

Tags

DTIC Thesaurus Topics

  • Markov Chains
  • Markov Processes
  • Mathematics
  • Probability
  • Random Variables
  • Republic
  • Sampling
  • Transitions

Readers

  • Calculus or Mathematical Analysis
  • Mathematical Modeling and Probability Theory.
  • Regression Analysis.