
Accession Number : AD0432783
Title : STATISTICAL ANALYSIS OF EMPIRICAL DISTRIBUTION FUNCTIONS,
Corporate Author : WISCONSIN UNIV MADISON
Report Date : 1964
Pagination or Media Count : 67
Abstract : A statistical analysis of empirical distribution functions is considered. The sample mean and sample variance are used as estimators for the true mean and variance when the form of probability distribution of a random variable is known; the empirical cumulative distribution function (cdf) is used as an estimator for the true cdf of a random variable under general conditions when no assumptions or knowledge of the form of distribution of the random variable are required. The distance of the estimates from the true values is analyzed by the method of confidence intervals. (Author)
Descriptors : (*STATISTICAL FUNCTIONS, STATISTICAL ANALYSIS), PROBABILITY, SAMPLING, MATHEMATICAL PREDICTION, ANALYSIS OF VARIANCE, INEQUALITIES, STATISTICAL TESTS, PULSE ANALYZERS
Distribution Statement : APPROVED FOR PUBLIC RELEASE