Statistics

Beschreibung

Computer software is an essential tool for many statisticalmodelling and data analysis techniques, aiding in theimplementation of large data sets in order to obtain usefulresults. R is one of the most powerful and flexible statisticalsoftware packages available, and enables the user to apply a widevariety of statistical methods ranging from simple regression togeneralized linear modelling. Statistics: An Introduction using Ris a clear and concise introductory textbook to statisticalanalysis using this powerful and free software, and follows on fromthe success of the author's previous best-selling title StatisticalComputing. * Features step-by-step instructions that assume no mathematics,statistics or programming background, helping the non-statisticianto fully understand the methodology. * Uses a series of realistic examples, developing step-wise fromthe simplest cases, with the emphasis on checking the assumptions(e.g. constancy of variance and normality of errors) and theadequacy of the model chosen to fit the data. * The emphasis throughout is on estimation of effect sizes andconfidence intervals, rather than on hypothesis testing. * Covers the full range of statistical techniques likely to be needto analyse the data from research projects, including elementarymaterial like t-tests and chi-squared tests, intermediate methodslike regression and analysis of variance, and more advancedtechniques like generalized linear modelling. * Includes numerous worked examples and exercises within eachchapter. * Accompanied by a website featuring worked examples, data sets,exercises and solutions: http://www.imperial.ac.uk/bio/research/crawley/statistics Statistics: An Introduction using R is the first text to offer sucha concise introduction to a broad array of statistical methods, ata level that is elementary enough to appeal to a broad range ofdisciplines. It is primarily aimed at undergraduate students inmedicine, engineering, economics and biology - but will also appealto postgraduates who have not previously covered this area, or wishto switch to using R.

Autor*in

Michael J. Crawley

Themen in »Statistics«

Angewandte Wahrscheinlichkeitsrechnung u. Statistik Applied Probability & Statistics Computational & Graphical Statistics Rechnergestützte u. graphische Statistik Statistics Statistics - Text & Reference Statistik Statistik / Lehr- u. Nachschlagewerke

Stimmen zu »Statistics«

"I would recommend this book to those who need to teach statisticsvia the medium of R and those self learners who want to acquire thebasic techniques of statistics together with powerful statisticalsoftware." (Technometrics, May 2006) "...will provide you with enhanced statisticalinsights...and access to a free and powerful computinglanguage." (Clinical Chemistry, May 2006) "...I know of no better book of its kind..." (Journal of theRoyal Statistical Society, Vol 169 (1), January 2006) "...offers a demanding, non-calculus-based coverage of suchstandard topics as hypothesis testing, modeling, regression, ANOVA,and count data." (CHOICE, November 2005)
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