Research for Regression Analysis

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INTRODUCTION TO FOURIER ANALYSIS OF DATA
June 1, 1974
This is an introduction to the basic elements of Fourier analysis of a time series that is a sum of deterministic components and a stationary random process. The various mathematical concepts relating to Fourier analysis are presented in a basically intuitive manner.
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WRITEUP FOR B34TCNA: A STEP-WISE MULTIPLE REGRESSION PROGRAM
June 1, 1974
This paper is intended as a day-to-day guide to the use of B34TCNA, a program that calculates multiple linear regression in a step-wise manner, inserting at each step that variable which is eligible and has the highest partial correlation with the dependent variable. This guide tells how to punch control cards and implement the options available in the program.
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SENSITIVITY TESTS ON SLAT COMPUTER SIMULATIONS USING EXPERIMENTAL DESIGN
June 1, 1974
Experimental designs are proven to be just as useful in studying the interrelations between variables in computer simulations as they have been in agriculture and industry. This paper demonstrates that the statistical experimental design technique aids the analysis of complex simulation by efficient selection of the computer runs to be made and thereby saves computer time. Further the analysis is more complete, showing that the variables act jointly, and measures the goodness of fit of predicted values. As an example, the sensitivity tests on changes in air sortie effectiveness on a land campaign are discussed. The techniques, terminology and calculation methods with a bibliography are discussed in an appendix for those who wish to learn more about the technique.
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MULTIVARIATE REGRESSION ANALYSIS AND SLAUGHTER LIVESTOCK
June 1, 1974
Throughout its history, the econometric analysis of slaughter livestock has been characterized by diversity of opinion on numerous fundamental issues. The issues include the relationships between slaughter weight and prices, changes in consumer preference for meat, the interdependence of slaughter livestock prices (such as hog, fed cattle, and nonfed cattle prices), the interdependence of prices and storage stocks, and seasonality. The resolution of these issues is discussed in this paper. New techniques are proposed, and regression models based on these techniques are given. The regression equations were used to make monthly predictions for a two-year period beyond the period of the data base for the equations. Conclusions are reached on the economic issues in question.
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