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, Multivariate Nonparametric Regression and Visualization provides readers with the core statistical concepts to obtain complete and accurate predictions;
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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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While preserving the clear, accessible style of previous editions, Applied Nonparametric Statistical Methods, Fourth Edition reflects the;
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multivariate statistical methods. The individual contributions cover a wide variety of topics ranging from univariate nonparametric methods to robust;
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Thoroughly revised and updated, the new edition of Nonparametric Statistical Methods includes additional modern topics and procedures, more practical;
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only slight loss of accuracy. The field of nonparametric statistics is occupying an increasingly important role in statistical theory as well;
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Robust and nonparametric statistical methods have their foundation in fields ranging from agricultural science to astronomy, from;
Vergelijkbare producten zoals Methodology in Robust and Nonparametric Statistics
Robust and nonparametric statistical methods have their foundation in fields ranging from agricultural science to astronomy, from;
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Incorporating a hands-on pedagogical approach, Nonparametric Statistics for Social and Behavioral Sciences presents the concepts;
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Incorporating a hands-on pedagogical approach, Nonparametric Statistics for Social and Behavioral Sciences presents the concepts;
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-art research in statistical theory, with an emphasis on nonparametric inference, linear model theory, time series analysis and asymptotic;
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Balancing the cookbook approach of some texts with the more mathematical approach of others, Nonparametric Statistical Methods for;
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Balancing the cookbook approach of some texts with the more mathematical approach of others, Nonparametric Statistical Methods for;
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misleading. Nonparametric and semiparametric statistical methods provide a way to reduce the strength of the assumptions required for estimation and;
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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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Nonparametric Models for Longitudinal Data with Implementations in R presents a comprehensive summary of major advances in nonparametric;
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successful Nonparametric Statistical Methods meets the needs of a new generation of users, with completely up-to-date coverage of this important;
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Nonparametric Statistical Tests: A Computational Approach describes classical nonparametric tests, as well as novel and little-known;
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Nonparametric Statistical Tests: A Computational Approach describes classical nonparametric tests, as well as novel and little-known;
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nonparametric methods; contains information on statistical process control and reliability; supplies fault and event trees; furnishes numerous;
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nonparametric methods; contains information on statistical process control and reliability; supplies fault and event trees; furnishes numerous;
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A concise summary of the statistical methods used in the analysis of survival data with censoring. Emphasizes recently developed;
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as OLS, GLS and instrumental variables) and some of the key research areas of the last few years, including sampling problems, nonparametric;
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practical applications. Written for the leading edge of finance, Nonparametric Finance: * Introduces basic statistical finance concepts;
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Empirical Likelihood Methods in Biomedicine and Health provides a compendium of nonparametric likelihood statistical techniques in the;
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Empirical Likelihood Methods in Biomedicine and Health provides a compendium of nonparametric likelihood statistical techniques in the;
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