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Ahsanullah, M. – 1989
The record values of the Pareto distribution, labelled Pareto (II) (alpha, beta, nu), are reviewed. The best linear unbiased estimates of the parameters in terms of the record values are provided. The prediction of the sth record value based on the first m (s>m) record values are obtained. A classical Pareto distribution provides reasonably…
Descriptors: Equations (Mathematics), Estimation (Mathematics), Income, Probability
Peer reviewed Peer reviewed
Krus, David J.; Liang, Kun-Hsia T. – Educational and Psychological Measurement, 1984
An algorithm for estimation of means and standard deviations or raw scores underlying table values of standard test scores is presented. An application of a computer program, operationalizing the suggested algorithm, is discussed within the framework of a comparison of estimated and known table values for sample Minnesota Multiphasic Personality…
Descriptors: Algorithms, Estimation (Mathematics), Scores, Standardized Tests
Peer reviewed Peer reviewed
Suen, Hoi K. – Evaluation Review, 1984
A procedure for the analysis of judgmental estimates is derived. It uses a t-distribution concept to derive the relative experience of an expert and uses the derived experience as weight to obtain a weighted mean. Using this method, error in estimation was reduced by an average of one-half. (Author/BW)
Descriptors: Estimation (Mathematics), Evaluation Methods, Experience, Higher Education
Lunneborg, Clifford E. – 1983
The wide availability of large amounts of inexpensive computing power has encouraged statisticians to explore many approaches to a basis for inference. This paper presents one such "computer-intensive" approach: the bootstrap of Bradley Efron. This methodology fits between the cases where it is assumed that the form of the distribution…
Descriptors: Analysis of Variance, Error of Measurement, Estimation (Mathematics), Hypothesis Testing
Tryon, Warren W. – 1984
A normally distributed data set of 1,000 values--ranging from 50 to 150, with a mean of 50 and a standard deviation of 20--was created in order to evaluate the bootstrap method of repeated random sampling. Nine bootstrap samples of N=10 and nine more bootstrap samples of N=25 were randomly selected. One thousand random samples were selected from…
Descriptors: Computer Simulation, Estimation (Mathematics), Higher Education, Monte Carlo Methods