Bootstrapping: A Nonparametric Approach to Identify the Effect of Sparsity of Data in the Binary Regression Models

摘要

In this research, the bootstrap methods are used to investigate the effects of sparsity of the data for the binary regression models. The artificial data was created by the bootstrapping vector. We also used the percentile confidence intervals as a tool f