Accession Number : AD0735426

Title :   Proceedings of the Symposium on Optimizing Methods in Statistics. Held at the Center for Tomorrow, Ohio State University on 14-16 June 1971,

Corporate Author : OHIO STATE UNIV COLUMBUS DIV OF STATISTICS

Personal Author(s) : Rustagi,Jagdish S.

Report Date : 1971

Pagination or Media Count : 493

Abstract : Problems of optimization in statistics arise in many different contexts. The methods of estimation require maximization or minimization of certain functions. The classical methods of least squares, maximum likelihood, minimum variance, and minimum chi square are associated by their very name with optimization. The statistical decision theory deals with problems of finding optimum decision rules. In the theory of tests of hypotheses, methods of obtaining most powerful tests are directly associated with the process of optimization. Techniques of mathematical programming also have been used in statistics in many contexts, such as in estimation of parameters of a Markov chain and in regression analysis. In order to bring active research workers together to exchange ideas and to stimulate young researchers in this important area, a symposium on optimizing methods in statistics was held. The program of the symposium was organized in sessions on: Variational methods; Regression analysis; Optimum seeking methods; Mathematical programming; Stochastic control; Optimum design of experiments; Optimum spacings; Order statistics; Problems and applications. (Author)

Descriptors :   (*STATISTICAL ANALYSIS, *OPTIMIZATION), DECISION THEORY, MATHEMATICAL PROGRAMMING, REGRESSION ANALYSIS, STOCHASTIC PROCESSES, STATISTICAL TESTS, EXPERIMENTAL DESIGN, CONTROL SYSTEMS, MATHEMATICAL MODELS, TEXTBOOKS, SYMPOSIA

Subject Categories : Statistics and Probability
      Operations Research

Distribution Statement : APPROVED FOR PUBLIC RELEASE