Accession Number : ADP008736

Title :   Illustrating Frequentist and Bayesian Statistics in Oceanography,

Corporate Author : CORNELL UNIV ITHACA NY

Personal Author(s) : Casella, George

Report Date : NOV 1993

Pagination or Media Count : 12

Abstract : Both frequentist and Bayesian methodologies provide means for a statistical solution to a problem. However, it is usually the case that, for a given situation, one methodology is more appropriate. Using a number of oceanographic examples we explore the components of a statistical solution and illustrate the most appropriate methodology. We argue that the statistical consideration of utmost importance is the type of inference and conclusion to be made. In some examples it is more appropriate to make this inference as a Bayesian, and in some it is more appropriate to make this inference as a frequentist.

Descriptors :   *OCEANOGRAPHIC DATA, *BAYES THEOREM, STATISTICAL ANALYSIS, OCEANOGRAPHY, DATA PROCESSING, STATISTICAL INFERENCE .

Subject Categories : Physical and Dynamic Oceanography
      Statistics and Probability

Distribution Statement : APPROVED FOR PUBLIC RELEASE