This manual details the preparation of data for and the interpretation of output from the least squares computer program LSTSQR-1. The material presented here will be somewhat difficult for the non-computer oriented professional to interpret on the first reading. However, the professional researcher should find after an initial reading, some consultation with the data processing staff, and a little practice that he can easily design, prepare, and interpret his own data analyses. LSTSQR-1 performs least squares curve fitting of data pairs under a wide variety of I/0 and processing options. LSTSQR-1 accepts any number of consecutive data sets and any number of data points per data set. Data may come from any of six input files and may be read under any format specifying one data pair per record. The independent and dependent variables of the regression may be assigned and generated interchangeably and independently using a set of nine transformation functions each available in nineteen powers ranging from -9 to +9. Also the independent and dependent variable titles and the regression title may be supplied by the user. All regressions are polynomials in the independent variable of degree 1 through 9 with or without a constant term. Finally, the extent of output is under user control.
This working paper describes a group of techniques for disaggregating origin-destination tablesfor truck forecasting that makes explicit use of observ...
At the Oak Ridge National Laboratory (ORNL), sensitivity and uncertainty (S/U) analysis methods and a Generalized Linear Least-Squares Methodology (GL...
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