SPSS PASW Bootstrapping

PASW Bootstrapping helps you create more reliable models that generate the most accurate results for your important projects

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

Supporting products

PASW Boostrapping provides the ability to boostrap a number of analytical procedures found throughout the PASW Statistics product family, including:

Descriptive Procedures	Product
Descriptive	PASW Statistics Base
Frequencies	PASW Statistics Base
Examine	PASW Statistics Base
Means	PASW Statistics Base
Crosstabs	PASW Statistics Base
T-tests	PASW Statistics Base
Correlations / Nonparametric Correlations	PASW Statistics Base
Partial Correlations	PASW Statistics Base

Modeling Procedures	Product
One-way	PASW Statistics Base
UniAnova	PASW Statistics Base
GLM	PASW Advanced Statistics
Regression	PASW Regression
Nominal Regression	PASW Regression
Discriminant	PASW Statistics Base
Logistic Regression	PASW Regression
Binary Multi-nominal / Logistic Ordinal Regression	PASW Statistics Base
GENLIN	PASW Advanced Statistics
Linear Mixed Models	PASW Advanced Statistics
Cox Regression	PASW Advanced Statistics

For more information, please visit here or send e-mail to spsshk@spss.com.hk.

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New products and modules

	PASW Direct Marketing enables marketers to run key analyses on their own
	PASW Bootstrapping makes it easy for analyst to use this valuable technique
	PASW Statistics Developer makes it easy to work with R and share procedures with others