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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 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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only slight loss of accuracy. The field of nonparametric statistics is occupying an increasingly important role in statistical theory as well;
Vergelijkbare producten zoals Nonparametric Techniques in Statistical Inference
, sociology, and space science Nonparametric Statistical Methods, Third Edition is an excellent reference for applied statisticians and practitioners;
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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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nonparametric methods; contains information on statistical process control and reliability; supplies fault and event trees; furnishes numerous;
Vergelijkbare producten zoals Statistical Methods for Engineers and Scientists
nonparametric methods; contains information on statistical process control and reliability; supplies fault and event trees; furnishes numerous;
Vergelijkbare producten zoals Statistical Methods for Engineers and Scientists
multivariate statistical methods. The individual contributions cover a wide variety of topics ranging from univariate nonparametric methods to robust;
Vergelijkbare producten zoals Modern Nonparametric, Robust and Multivariate Methods
in nonparametric theory ignore the problems faced in applied econometrics. This book helps bridge this gap between applied economists and theoretical;
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in nonparametric theory ignore the problems faced in applied econometrics. This book helps bridge this gap between applied economists and theoretical;
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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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Designed for a graduate course in applied statistics, Nonparametric Methods in Statistics with SAS Applications teaches students how to;
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Designed for a graduate course in applied statistics, Nonparametric Methods in Statistics with SAS Applications teaches students how to;
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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;
Vergelijkbare producten zoals Methodology in Robust and Nonparametric Statistics
Summarizing developments and techniques in the field, this reference covers sample surveys, nonparametric analysis, hypothesis testing;
Vergelijkbare producten zoals Handbook Of Applied Econometrics And Statistical Inference
Summarizing developments and techniques in the field, this reference covers sample surveys, nonparametric analysis, hypothesis testing;
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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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hypotheses; simple and multiple linear regression; design of experiments; nonparametric statistics; and statistical quality control.;
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hypotheses; simple and multiple linear regression; design of experiments; nonparametric statistics; and statistical quality control.;
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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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selection models, (ii) nonparametric and semi-parametric approaches to qualitative and sample selection models, and (iii) nonlinear estimation;
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A unique approach to understanding the foundations of statistical quality control with a focus on the latest developments in nonparametric;
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is on methodologies rather than on theory, with a particular focus on applications of nonparametric techniques to various statistical problems;
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