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Lee W. Falls
,
William O. Williford
, and
Michael C. Carter

Abstract

Several statistical distribution functions are investigated as prospective models to represent the variation of thunderstorm activity at Cape Kennedy, Fla. Statistical methods are presented using the latest and most comprehensive thunderstorm data available. The conclusion is reached that the negative binomial distribution and a modification of the negative binomial distribution may be used as provisional statistical models to represent “thunderstorm events” and “thunderstorm bits,” respectively, at Cape Kennedy.

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W. O. Williford
,
Michael C. Carter
, and
Paul Hsieh

Abstract

Probability models describing the variation in thunderstorm activity at Cape Kennedy, Florida, are presented and analyzed from a Bayesian statistical point of view. This includes a brief outline of a Bayesian analysis of distributions using data collected at Cape Kennedy and a comparison of the Bayesian and classical statistical results for the probability models under consideration.

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