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PDF pending restorationAitkin, Murray A. – 1972
Fixed-width confidence intervals for a population regression line over a finite interval of x have recently been derived by Gafarian. The method is extended to provide fixed-width confidence intervals for the difference between two population regression lines, resulting in a simple procedure analogous to the Johnson-Neyman technique. (Author)
Descriptors: Analysis of Covariance, Mathematical Applications, Mathematical Models, Multiple Regression Analysis
Lindley, Dennis V. – 1972
This paper discusses Bayesian m-group regression where the groups are arranged in a two-way layout into m rows and n columns, there still being a regression of y on the x's within each group. The mathematical model is then provided as applied to the case where the rows correspond to high schools and the columns to colleges: the predictor variables…
Descriptors: Bayesian Statistics, Mathematical Applications, Mathematical Models, Multiple Regression Analysis
Lord, Frederic M. – 1971
A numerical procedure is outlined for obtaining an interval estimate of a parameter in an empirical Bayes estimation problem. The case where each observed value x has a binomial distribution, conditional on a parameter zeta, is the only case considered. For each x, the parameter estimated is the expected value of zeta given x. The main purpose is…
Descriptors: Bayesian Statistics, Computer Programs, Expectation, Goodness of Fit
PDF pending restorationSchnittjer, Carl J. – 1972
The purpose of the study was to develop a linear programming model to be used for prediction, test the accuracy of the predictions, and compare the accuracy with that produced by curvilinear multiple regression analysis. (Author)
Descriptors: Comparative Analysis, Educational Administration, Graduate Students, Linear Programing
Pelz, Donald C.; Faith, Ray E. – 1971
This final report summarizes past research and suggests new approaches to the problem of estimating long-term individual constants using path analysis. The general objective of the research was to detect and measure the likelihood that one variable, x, measured at time, t, has a causal influence on another variable, y, measured at a subsequent…
Descriptors: Correlation, Data Analysis, Educational Research, Evaluation Methods


