Michael W. Trosset

An Introduction to Statistical Inference and Its Applications with R (eBook, PDF)

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 496
• Erscheinungstermin: 23. Juni 2009
• Englisch
• ISBN-13: 9781584889489
• Artikelnr.: 57160469

Autorenporträt

Michael W. Trosset is Professor of Statistics and Director of the Indiana Statistical Consulting Center at Indiana University.

Inhaltsangabe

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.