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Bootstrapping in least absolute value regression: an application to hypothesis testing
Authors:Terry E Dielman  Roger C Pfaffenberger
Institution:Taxas Christian University , Fort Worth, Texas, 76129
Abstract:A Monte Carlo simulation is used to study the performance of hypothesis tests for regression coefficients when least absolute value regression methods are used. In small samples, the results of the simulation suggest that using the bootstrap method to compute standard errors will provide improved test performance
Keywords:L1-norm estimation  bootstrap
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