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This book provides a practical guide to analysis of simple andcomplex method comparison data, using Stata, SAS and R. It takesthe classical;
Vergelijkbare producten zoals Comparing Clinical Measurement Methods
nonparametric techniques. The practical importance of these varied methods is illustrated using data from real world studies. Over 1700 R functions are;
Vergelijkbare producten zoals Introduction to Robust Estimation and Hypothesis Testing
Features a straightforward and concise resource for introductory statistical concepts, methods, and techniques using R Understanding and;
Vergelijkbare producten zoals Understanding and Applying Basic Statistical Methods Using R
explaining the underlying concepts of statistics, and often are divorced from the reality of conducting and assessing medical research. Practical;
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the presented output and plots. Comparing Groups: Randomization and Bootstrap Methods Using R is an excellent book for upper-undergraduate and;
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program R. This book is designed to both introduce students to key concepts in statistics and to provide simple instructions for using R. This;
Vergelijkbare producten zoals Basic Statistics
program R. This book is designed to both introduce students to key concepts in statistics and to provide simple instructions for using R. This;
Vergelijkbare producten zoals Basic Statistics
A practical book that shows how both Excel (R) and SPSS (R) can be used for analyzing data for human service evaluation.;
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Drawing on real world data to showcase different techniques, this practical book helps you use R for data analysis in your own research.;
Vergelijkbare producten zoals Applied Statistics Using R - moved from October
Drawing on real world data to showcase different techniques, this practical book helps you use R for data analysis in your own research.;
Vergelijkbare producten zoals Applied Statistics Using R - moved from October
working in experimental design and all empirical sciences Includes 300 different procedures with R and examples with R-programs for the analysis;
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For undergraduate and graduate level courses that combines introductory statistics with data analysis or decision modeling. A pragmatic;
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must for all students who use a computer package to apply statistics in practical and project work. Features new to this edition: * Now;
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procedures in the popular R language and for MINITAB and JMP statistical analysis software. Divided into two parts, the text covers the principles;
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This book contains statistics courses on basic to advanced methods with practical exercises using the R environment, by leading experts;
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Ideal for anyone who wishes to gain a practical understanding of spatial statistics and geostatistics. Difficult concepts are well;
Vergelijkbare producten zoals Spatial Statistics and Geostatistics
Ideal for anyone who wishes to gain a practical understanding of spatial statistics and geostatistics. Difficult concepts are well;
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Gain the R programming language fundamentals for doing the applied statistics useful for data exploration and analysis in data science and;
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Praise for the First Edition: . . . the book serves as an excellent tutorial on the R language, providing examples that illustrate;
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in Part I. Using data from actual studies, many examples are included to illustrate the practical problems with conventional procedures and how;
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An R Companion for Applied Statistics II: Multivariable and Multivariate Techniques breaks the language of the R software down into;
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Placing data in the context of the scientific discovery of knowledge through experimentation, Practical Data Analysis for Designed;
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leading ESSENTIALS OF STATISTICS FOR BUSINESS AND ECONOMICS, 9E connects concepts in each chapter to real-world practice. This edition delivers;
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counterparts according to the strength of the collected data. Applied Statistical Designs for the Researcher discusses three varieties of the Student t;
Vergelijkbare producten zoals Applied Statistical Designs for the Researcher
counterparts according to the strength of the collected data. Applied Statistical Designs for the Researcher discusses three varieties of the Student t;
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R for College Mathematics and Statistics encourages the use of R in mathematics and statistics courses. Instructors are no longer limited;
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