Introduction to Statistical Inference and Its Applications With R

Informationen zum Autor Michael W. Trosset is Professor of Statistics and Director of the Indiana Statistical Consulting Center at Indiana University. Klappentext With amusing anecdotes and trivia, this text explains how statistical methods are used for data analysis and uses the elementary functions of R to perform the individual steps of statistical procedures. It introduces basic concepts of inference through a careful study of several important procedures, including parametric and nonparametric methods, analysis of variance, and regression. The text also presents many applications, supporting data sets, and end-of-chapter exercises. The R code and data sets are available for download online and a solutions manual is available for qualifying instructors. Zusammenfassung Explains how statistical methods are used for data analysis and uses the elementary functions of R to perform the individual steps of statistical procedures. This title introduces basic concepts of inference through a study of several important procedures, including parametric and nonparametric methods, analysis of variance, and regression. Inhaltsverzeichnis Experiments. Mathematical Preliminaries. Probability. Discrete Random Variables. Continuous Random Variables. Quantifying Population Attributes. Data. Lots of Data. Inference. 1-Sample Location Problems. 2-Sample Location Problems. The Analysis of Variance. Goodness-of-Fit. Association. Simple Linear Regression. Simulation-Based Inference. R: A Statistical Programming Language. Index.

Product details

• Authors: Michael W. Trosset, Michael W. (Indiana University Trosset, Trosset Michael W.
• Publisher: Chapman and Hall Ltd
• Languages: English
• Product format: Hardback
• Released: 11.06.2009
• EAN: 9781584889472
• ISBN: 978-1-58488-947-2
• Dimensions: 163 mm x 240 mm x 30 mm
• Series: Chapman & Hall/CRC Texts in Statistical Science; Chapman & Hall/CRC Texts in Statistical Science
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; Social sciences, law, business > Business; MATHEMATICS / Probability & Statistics / General, Probability & statistics, Probability and statistics