Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	Juni 2009
Genre:	Schulbücher
	advanced statistical inference with R / MATHEMATICS / Probability & Statistics / General / Parametric Inference / Probability & statistics / Probability and statistics / random variable analysis / regression diagnostics / sample size determination / Simulation Techniques / Statistical Modeling mehr...
ISBN:	9781584889472
EAN-Code:	9781584889472
Verlag:	Taylor and Francis
Einband:	Gebunden
Sprache:	English
Serie:	Chapman & Hall/CRC Texts in Statistical Science
Dimensionen:	H 234 mm / B 156 mm / D
Gewicht:	1060 gr
Seiten:	496
Illustration:	schwarz-weiss Illustrationen, Tabellen, schwarz-weiss
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

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, and draw pseudorandom samples-not to perform entire analyses. After discussing the importance of chance in experimentation, the text develops basic tools of probability. The plug-in principle then provides a transition from populations to samples, motivating a variety of summary statistics and diagnostic techniques. The heart of the text is a careful exposition of point estimation, hypothesis testing, and confidence intervals. The author then explains procedures for 1- and 2-sample location problems, analysis of variance, goodness-of-fit, and correlation and regression. He concludes by discussing the role of simulation in modern statistical inference. Focusing on the assumptions that underlie popular statistical methods, this textbook explains how and why these methods are used to analyze experimental data.