Resampling Stats Software

RESAMPLING STATS lets you take advantage of the past decade's revolution in statistics using resampling for hypothesis testing, confidence intervals, assessing standard errors and more. Whether you are an expert or a casual user, you can benefit from this extraordinarily simple yet powerful language that operates in a clear, intuitive, and user-friendly manner. No formulas or tables. Every step perfectly understood. RESAMPLING STATS offers an easy-to-use, powerful tool to conduct repeated simulations (including the bootstrap) with your data, calculate test statistics, and analyze and view the results.
You can handle most (perhaps all) of your problems with numerical simulation experiments, using RESAMPLING STATS commands to mimic the physical operations in conducting Monte Carlo trials with urns or random numbers. For example, you randomize a set of elements with the command SHUFFLE. You combine two strings of data with CONCATenate.
When you turn to the resampling method -- including the bootstrap, permutation ("randomization") and other non-parametric tests -- you will be in good company. Following the first publication of the general technique (and the bootstrap) in 1969 by Julian Simon (the creator of RESAMPLING STATS) and subsequent independent development by Bradley Efron, resampling has become state-of-the-art practice for confidence limits, hypothesis tests, and other applied everyday problems in statistics and probability.
Excel spreadsheet version - This add-in brings the power of resampling to your spreadsheet: Resampling Stats add-in for Excel - now available in version 3.2. Adds a menu and a toolbar to Excel, runs up to 10,000,000 iterations, stratified sampling capabilities, histograms, and much more. Comes with User's guide.
Matlab version- This is a book and a set of resampling functions that allow you to take advantage of the function language and matrix capabilities of MATLAB. Comes with a User's guide.

Easy to use functions completely documented with many examples.

Works in MATLAB (version 5.0 and higher) on any platform.

Works with the Student Edition of MATLAB

A tutorial introduction to statistical inference using resampling.

Barbara Bailar, Executive Director of the American Statistical Association, said in Science News (July 27, 1991) "I think it is the wave of the future." The American Mathematical Society, in a report for Congress (February, 1992), cites the bootstrap as one of several developments that have "transformed" the "mathematical landscape". Jerome Friedman of Stanford, quoted in the New York Times (November 8, 1988), termed it "the most important new idea in statistics in the last 20 years, and probably the last 50. ... Eventually, it will take over the field, I think." Comments from users.

If you teach statistics, your students -- from graduate school to 8th grade -- can also discover the power of resampling. (At the University of Maryland, well over 80% of our students find our resampling course a positive experience and recommend it to others; it is routinely booked to capacity well in advance. Students at other universities with other instructors have given similar ratings to resampling courses.) RESAMPLING STATS comes on a single disk and can be run directly from the floppy disk -- you can find out in seconds how it works and what it can do for you. If, for any reason, RESAMPLING STATS does not meet your needs, simply return it without obligation.
P.S. Learn more about resampling from Julian Simon's introductory text: "Resampling: The New Statistics". It is a companion to Resampling Stats, providing examples written in Resampling Stats, but it is not a user guide. Resampling: The New Statistics

Requirements: Windows compatible computer.
Cost: Resampling Stats for Excel 3.2 - academic 1-year license is $99.00. Corporate/institutional 1-year license is $149.00. Resampling Stats for Matlab is $39.95.

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