Title: Comparison of Least Squares with Least Absolute Deviation Forecasting Using Simulation Techniques
Abstract:Linear least squares forecasting is used on two data sets and these resulting equations are compared, along with their larger total absolute deviations, to regular least absolute deviation (LAD) equat...Linear least squares forecasting is used on two data sets and these resulting equations are compared, along with their larger total absolute deviations, to regular least absolute deviation (LAD) equation fits done with multi stage Monte Carlo optimization (MSMCO). Then two nonlinear models are fitted using LAD with MSMCO. One is a regular LAD fit and the other uses mini max LAD curve fitting.Read More
Publication Year: 1986
Publication Date: 1986-01-01
Language: en
Type: book-chapter
Indexed In: ['crossref']
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