IBM SPSS Bootstrapping

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 IBM SPSS 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

IBM SPSS 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.

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IBM SPSS Bootstrapping is available in English, Japanese, French, German, Italian, Spanish, Chinese, Polish, Korean, and Russian. Contact your local office to find out more.

• 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 IBM SPSS Statistics product family.