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- W2092180413 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" @default.
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- W2092180413 date "1988-01-01" @default.
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- W2092180413 title "Bootstrapping in least absolute value regression: an application to hypothesis testing" @default.
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- W2092180413 doi "https://doi.org/10.1080/03610918808812699" @default.
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