Statxact Software Download
StatXact 10 Infosheet • 1. The Most Popular Exact Inference Statistics Software StatXact® 10 has over 150 tests and procedures for exact inference statistical data and power analysis, more than any other statistical software package. Worldwide, statisticians from across industries, academic centers, and government agencies turn to StatXact to help solve their most challenging research questions. What sets StatXact apart?
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Other statistical software relies on large-scale assumptions for inferences, risking incorrect conclusions from data sets that are not normally distributed. Instead, StatXact makes exact inferences by permuting data actually observed, eliminating the need for distributional assumptions. Statisticians and researchers find exact and nonparametric inference methods particularly useful with smaller sample size problems.
Downloading and Installing TaxAct. Want a demonstration? Take a look at our How to Download & Install TaxAct Professional Editions video. Incomplete downloads can also be due to Internet connection problems. Security software can also prevent downloads and installation, or prevent the TaxAct program from working properly after installation.
Author by: Thomas P. Hettmansperger Language: en Publisher by: John Wiley & Sons Format Available: PDF, ePub, Mobi Total Read: 26 Total Download: 250 File Size: 51,6 Mb Description: A coherent, unified set of statistical methods, based on ranks, for analyzing data resulting from various experimental designs. Uses MINITAB, a statistical computing system for the implementation of the methods. Assesses the statistical and stability properties of the methods through asymptotic efficiency and influence curves and tolerance values. Includes exercises and problems. Author by: Jean Dickinson Gibbons Language: en Publisher by: CRC Press Format Available: PDF, ePub, Mobi Total Read: 29 Total Download: 914 File Size: 51,9 Mb Description: Proven Material for a Course on the Introduction to the Theory and/or on the Applications of Classical Nonparametric Methods Since its first publication in 1971, Nonparametric Statistical Inference has been widely regarded as the source for learning about nonparametric statistics.
The fifth edition carries on this tradition while thoroughly revising at least 50 percent of the material. New to the Fifth Edition Updated and revised contents based on recent journal articles in the literature A new section in the chapter on goodness-of-fit tests A new chapter that offers practical guidance on how to choose among the various nonparametric procedures covered Additional problems and examples Improved computer figures This classic, best-selling statistics book continues to cover the most commonly used nonparametric procedures. The authors carefully state the assumptions, develop the theory behind the procedures, and illustrate the techniques using realistic research examples from the social, behavioral, and life sciences. For most procedures, they present the tests of hypotheses, confidence interval estimation, sample size determination, power, and comparisons of other relevant procedures. The text also gives examples of computer applications based on Minitab, SAS, and StatXact and compares these examples with corresponding hand calculations. The appendix includes a collection of tables required for solving the data-oriented problems. Nonparametric Statistical Inference, Fifth Edition provides in-depth yet accessible coverage of the theory and methods of nonparametric statistical inference procedures.
It takes a practical approach that draws on scores of examples and problems and minimizes the theorem-proof format. Jean Dickinson Gibbons was recently interviewed regarding her generous pledge to Virginia Tech. Author by: Thomas P. Hettmansperger Language: en Publisher by: CRC Press Format Available: PDF, ePub, Mobi Total Read: 55 Total Download: 703 File Size: 46,6 Mb Description: Presenting an extensive set of tools and methods for data analysis, Robust Nonparametric Statistical Methods, Second Edition covers univariate tests and estimates with extensions to linear models, multivariate models, times series models, experimental designs, and mixed models. It follows the approach of the first edition by developing rank-based methods from the unifying theme of geometry.