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Following in the footsteps of its bestselling predecessors, the Handbook of Parametric and Nonparametric Statistical Procedures, Fifth;
Vergelijkbare producten zoals Handbook of Parametric and Nonparametric Statistical Procedures, Fifth Edition
also considered, as well as simpler models that focus on rate or mean functions. Parametric, nonparametric and semiparametric methodologies are;
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also considered, as well as simpler models that focus on rate or mean functions. Parametric, nonparametric and semiparametric methodologies are;
Vergelijkbare producten zoals The Statistical Analysis of Recurrent Events
Thoroughly revised and updated, the new edition of Nonparametric Statistical Methods includes additional modern topics and procedures, more practical;
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over 100 new references Nonparametric Statistical Inference, Sixth Edition, has been thoroughly revised and rewritten to make it more readable;
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to perform each statistical test, how to executive inferential statistics for parametric and non-parametric procedures, and how to use;
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, principles, and methods used in performing many nonparametric procedures. It also demonstrates practical applications of the most common;
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, principles, and methods used in performing many nonparametric procedures. It also demonstrates practical applications of the most common;
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Discusses probability theory and to many methods used in problems of statistical inference. The Third Edition features material on;
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of statistical methodology. The author concentrates on inferential procedures within the framework of parametric models, but - acknowledging that;
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This book concerns testing hypotheses in non-parametric models. Generalizations of many non-parametric tests to the case of censored and;
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exercises are provided. The incorrect use of many tests applying most statistical software is highlighted and discussed.;
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A Practical Guide to Implementing Nonparametric and Rank-Based Procedures Nonparametric Statistical Methods Using R covers traditional;
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A Practical Guide to Implementing Nonparametric and Rank-Based Procedures Nonparametric Statistical Methods Using R covers;
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endogeneity of parametric and nonparametric effects, as well as heteroskedasticity and autocorrelation in the residuals. Bootstrap procedures are;
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endogeneity of parametric and nonparametric effects, as well as heteroskedasticity and autocorrelation in the residuals. Bootstrap procedures are;
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nonparametric statistical procedures. Thoroughly up-to-date, this book Presents multivariate robust and nonparametric;
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statistical procedures. Thoroughly up-to-date, this book Presents multivariate robust and nonparametric estimation with special emphasis on affine;
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selection models, (ii) nonparametric and semi-parametric approaches to qualitative and sample selection models, and (iii) nonlinear estimation;
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Statistics in Kinesiology, Fifth Edition With Web Resource, offers students in kinesiology and exercise science programs a unique;
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This bestselling textbook is designed to help students understand parametric and nonparametric statistical methods so that they can tackle;
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in the social, behavioral, biological, and physical sciences. This long-awaited Second Edition of Myles Hollander and Douglas A. Wolfe's;
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This volume consists of a collection of research articles on classical and emerging Statistical Paradigms parametric, non-parametric and;
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techniques and including parametric and nonparametric methods.;
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of nonparametric, semiparametric, and parametric methodologies. Chapter 4 deals with censoring and truncation. The next three chapters cover the formatting;
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While there are books focusing on parametric tests, the domain of nonparametric tests is mostly unexplored. Data Analysis in Business;
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of approaches to prediction including those based on parametric, nonparametric, and nonstochastic statistical models, it is devoted mainly to predictive;
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