Statxact Software Download

StatXact Software for Small-Sample Categorical and Nonparametric Data. The culmination of ten years of intense research and development, StatXactis the most complete, up-to-date software package for exact nonparametric statistical inference on continuous or categorical data in the world.

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. Teoria de maquinas y mecanismos shigley pdf merger.

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? 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.

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.