PASW Bootstrapping Module
Analyze Data Using Comprehensive Statistical Software
It's important that your models are stable, so that they will produce accurate, reliable results. 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.
Features
PASW Bootstrapping provides an efficient way to ensure that your models are stable and reliable, so your analysis generates more accurate results.
- Fast, easy resampling
Estimate the sampling distribution of an estimator in a snap.
- Reduce the impact of outliers and anomalies
Ensure the stability and reliability of your models.
- Bootstrap many analytical procedures
Test a wide range of the descriptive and modeling procedures found in the PASW Statistics product family.
Back to PASW Statistics Base page.
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