Michael W. Trosset

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

• Format: PDF

Produktbeschreibung

Emphasizing concepts rather than recipes, An Introduction to Statistical Inference and Its Applications with R provides a clear exposition of the methods of statistical inference for students who are comfortable with mathematical notation. Numerous examples, case studies, and exercises are included. R is used to simplify computation, create figures

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Produktdetails

• Verlag: Taylor & Francis eBooks
• 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.

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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.