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Distribution-Free Statistical Methods, Second Edition

Distribution-free statistical methods enable users to make statistical inferences with minimum assumptions about the population in question;

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Distribution-free Statistical Methods

Distribution-free statistical methods enable users to make statistical inferences with minimum assumptions about the population;

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R Through Excel: A Spreadsheet Interface for Statistics, Data Analysis, and Graphics

In this book, the authors build on RExcel, a free add-in for Excel that can be downloaded from the R distribution network. RExcel;

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Distribution-Free Methods for Statistical Process Monitoring and Control

normality and the independence when a process is statistically monitored, and examines in detail change-point analysis-based distribution-free;

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Distribution-Free Methods for Statistical Process Monitoring and Control

normality and the independence when a process is statistically monitored, and examines in detail change-point analysis-based distribution-free;

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The Inverse Gaussian Distribution: Theory

This monograph is a compilation of research on the inverse Gaussian distribution. It emphasizes the presentation of the statistical;

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The Inverse Gaussian Distribution: Theory

This monograph is a compilation of research on the inverse Gaussian distribution. It emphasizes the presentation of the statistical;

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Bayesian Statistics for Experimental Scientists

This book offers an introduction to the Bayesian approach to statistical inference, with a focus on nonparametric and distribution-free;

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Copula Based Markov Models for Time Series

, Poisson distribution, and others. Presenting likelihood-based methods as the main statistical tools for fitting the models, the book details the;

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Numerical And Statistical Methods

Numerical and statistical methods with the free software SCILAB (http://www-rocq.inria.fr/scilab/);

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Applied Nonparametric Statistical Methods

of nonparametric or distribution-free methods. Designed experiments, including those with factorial treatment structures, are now the focus of an entire;

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A Primer of Permutation Statistical Methods

, chance-corrected measure of effect size. Because permutation tests and measures are distribution-free, do not assume normality, and do;

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A Primer of Permutation Statistical Methods

, chance-corrected measure of effect size. Because permutation tests and measures are distribution-free, do not assume normality, and do;

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Matrix Variate Distributions

Useful in physics, economics, psychology, and other fields, random matrices play an important role in the study of multivariate statistical;

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Statistics of the Galaxy Distribution

applications of spatial statistics in cosmology. It gives a detailed derivation of the statistical methods used to study the galaxy distribution and;

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Statistics of the Galaxy Distribution

applications of spatial statistics in cosmology. It gives a detailed derivation of the statistical methods used to study the galaxy distribution and;

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The Weibull Distribution

The Most Comprehensive Book on the Subject Chronicles the Development of the Weibull Distribution in Statistical Theory and Applied;

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Statistical Physics

The book is divided into two parts. The first part looks at the modeling of statistical systems before moving on to an analysis of these;

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Elements of Distribution Theory

in understanding statistical methodology; thus, parametric statistical models and the distribution theory associated with the normal distribution are;

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Edexcel Award in Statistical Methods Level 2 Workbook

The Statistical Methods Level 2 Workbook is designed to build proficiency in statistics for students who want to: * progress following;

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Numerical and Statistical Methods

Mathematics and statistics with the free software SCILAB (http://www-rocq.inria.fr/scilab/);

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The Birnbaum-Saunders Distribution

The Birnbaum-Saunders Distribution presents the statistical theory, methodology, and applications of the Birnbaum-Saunders;

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Statistical Analysis of Reliability and Life-Testing Models

development of the procedures. Provides the most useful statistical techniques, not only for the normal distribution, but for other important;

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Introduction to Probability Theory and Statistical Inference

Discusses probability theory and to many methods used in problems of statistical inference. The Third Edition features material on;

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Statistical Methods for Engineering and Sciences

The text, divided into Chapters 1-12, has been designed for a course on statistical methods for students in engineering, mathematics;

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Statistical Methods For Rates And Proportions

applications of sample size tables; and contains a new section on binomial distribution.;

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Mathematical Methods of Statistics (PMS-9), Volume 9

In this classic of statistical mathematical theory, Harald Cramer joins the two major lines of development in the field: while British and;

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