Whether you conduct academic or scientific research, study issues in the public sector, or provide the analyses that support business decision-making, bootstrapping is a useful technique for testing model stability. And PASW Bootstrapping makes it simple and easy to do.
Quickly and easily estimate the sampling distribution of an estimator by re-sampling with replacement from the original sample
Estimate the standard errors and confidence intervals of a population parameter
Estimate the mean, median, proportion, odds ratio, correlation coefficient, regression coefficient and numerous others
Create thousands of alternate versions of your dataset for more accurate analysis
PASW Bootstrapping helps you reduce the impact of outliers and anomalies that can degrade the accuracy or applicability of your analysis. As a result, you have a clearer view of your data for creating the model you are working with.
