Accession Number : AD0804944

Title :   A PRIMER FOR MULTIVARIATE INFERENCE.

Descriptive Note : Final rept.,

Corporate Author : PORTLAND UNIV OR

Personal Author(s) : LaForge, Gene Rolfe

Report Date : 30 APR 1966

Pagination or Media Count : 535

Abstract : This report is a first version of an interim text for social science graduate students and pre-graduate majors. It requires some mathematical aptitude but no mathematical training beyond high-school mathematics. The first chapter is a review of the fundamentals of statistical inference, up through the multivariate normal distribution. The second chapter is an introduction to linear algebra, with heavy emphasis on determinants and the relationships between determinants, multivariate statistics and their geometric representation. There are numerous examples. Interpretation of the evaluation by Gauss' method is stressed. Chapter 3 presents tests of linear hypotheses and the Markoff Theorem, with numerous examples. Chapter 4 very briefly develops the multivariate normal linear model; one example is presented. (Author)

Descriptors :   (*MULTIVARIATE ANALYSIS, DECISION MAKING), (*DECISION MAKING, TEXTBOOKS), STUDENTS, SOCIAL SCIENCES, EDUCATION, PROBABILITY, DETERMINANTS(MATHEMATICS), SIMULTANEOUS EQUATIONS, VECTOR ANALYSIS, RANDOM VARIABLES, PROBABILITY DENSITY FUNCTIONS, STATISTICAL DISTRIBUTIONS, ANALYSIS OF VARIANCE.

Subject Categories : Statistics and Probability

Distribution Statement : APPROVED FOR PUBLIC RELEASE