SPSS Bootstrapping

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Create more reliable models and generate more accurate results

IBM® SPSS® Bootstrapping is an efficient way to ensure that analytical models are reliable and will produce accurate results. It can be used to test the stability of analytical models and procedures found throughout the SPSS Statistics product family, including descriptive, means, crosstabs, correlations, regression and many others.

SPSS Bootstrapping enables you to:

Quickly and easily estimate the sampling distribution of an estimator by re-sampling with replacement from the original sample.
Create thousands of alternate versions of a data set for a more accurate view of what is likely to exist in the population.
Reduce the impact of outliers and anomalies, helping to ensure the stability and reliability of your models.
Estimate the standard errors and confidence intervals of a population parameter such as the mean, median, proportion, odds ratio, correlation coefficient, regression coefficient and more.

SPSS Bootstrapping resources

Trial software: IBM SPSS Statistics Desktop
Identify your best customers, forecast future trends, and perform advanced analysis.

Data sheet: Make Smarter Decisions with Your Nested Data
See why generalized linear mixed models are effective for analyzing nested data.

Analyst report: Predictive Analytics: The Hurwitz Victory Index Report
Learn why IBM SPSS was recognized as a Double Victor in the inaugural Hurwitz & Associates Victory Index for predictive analytics.

IBM Software

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