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Statistics: An Introduction using R Paperback Good 2005 Textbook Crawley London-
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eBay-Artikelnr.:326516097226
Artikelmerkmale
- Artikelzustand
- Gut
- Hinweise des Verkäufers
- Brand
- Unbranded
- Book Title
- Statistics: An Introduction using R
- MPN
- Does not apply
- ISBN
- 9780470022986
Über dieses Produkt
Product Identifiers
Publisher
Wiley & Sons, Incorporated, John
ISBN-10
0470022981
ISBN-13
9780470022986
eBay Product ID (ePID)
128445262
Product Key Features
Number of Pages
342 Pages
Publication Name
Statistics : an Introduction Using R
Language
English
Publication Year
2005
Subject
Probability & Statistics / General, General
Type
Textbook
Subject Area
Mathematics, Computers
Format
Trade Paperback
Dimensions
Item Height
0.7 in
Item Weight
0 Oz
Item Length
9.6 in
Item Width
6.6 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
2004-026793
Reviews
"I would recommend this book to those who need to teach statistics via the medium of R and those self learners who want to acquire the basic techniques of statistics together with powerful statistical software." ( Technometrics , May 2006) "...will provide you with enhanced statistical insights...and access to a free and powerful computing language." ( Clinical Chemistry , May 2006) "...I know of no better book of its kind..." ( Journal of the Royal Statistical Society , Vol 169 (1), January 2006) "...offers a demanding, non-calculus-based coverage of such standard topics as hypothesis testing, modeling, regression, ANOVA, and count data." ( CHOICE , November 2005)
Dewey Edition
22
Illustrated
Yes
Dewey Decimal
519.5
Table Of Content
Preface.Chapter 1. Fundamentals.Chapter 2. Dataframes.Chapter 3. Central Tendency.Chapter 4. Variance.Chapter 5. Single Samples.Chapter 6. Two Samples.Chapter 7. Statistical Modelling.Chapter 8. Regression.Chapter 9. Analysis of Variance.Chapter 10. Analysis of Covariance.Chapter 11. Multiple Regression.Chapter 12. Contrasts.Chapter 13. Count Data.Chapter 14. Proportion Data.Chapter 15. Death and Failure Data.Chapter 16. Binary Response Variable.Appendix 1: Fundamentals of the R Language.References and Further Reading.Index.
Synopsis
Computer software is an essential tool for many statistical modelling and data analysis techniques, aiding in the implementation of large data sets in order to obtain useful results. R is one of the most powerful and flexible statistical software packages available, and enables the user to apply a wide variety of statistical methods ranging from simple regression to generalized linear modelling. Statistics: An Introduction using R is a clear and concise introductory textbook to statistical analysis using this powerful and free software, and follows on from the success of the author s previous best-selling title Statistical Computing. Features step-by-step instructions that assume no mathematics, statistics or programming background, helping the non-statistician to fully understand the methodology. Uses a series of realistic examples, developing step-wise from the simplest cases, with the emphasis on checking the assumptions (e.g. constancy of variance and normality of errors) and the adequacy of the model chosen to fit the data. The emphasis throughout is on estimation of effect sizes and confidence intervals, rather than on hypothesis testing. Covers the full range of statistical techniques likely to be need to analyse the data from research projects, including elementary material like t-tests and chi-squared tests, intermediate methods like regression and analysis of variance, and more advanced techniques like generalized linear modelling. Includes numerous worked examples and exercises within each chapter. Statistics: An Introduction using R is the first text to offer such a concise introduction to a broad array of statistical methods, at a level that is elementary enough to appeal to a broad range of disciplines. It is primarily aimed at undergraduate students in medicine, engineering, economics and biology but will also appeal to postgraduates who have not previously covered this area, or wish to switch to using R., Statistics: An Introduction Using R offers a concise introduction to statistical methods, stressing the graphical investigation of data, and features step-by-step instructions to help the non-statistician to understand fully the methodology. ., Computer software is an essential tool for many statistical modelling and data analysis techniques, aiding in the implementation of large data sets in order to obtain useful results. R is one of the most powerful and flexible statistical software packages available, and enables the user to apply a wide variety of statistical methods ranging from simple regression to generalized linear modelling. Statistics: An Introduction using R is a clear and concise introductory textbook to statistical analysis using this powerful and free software, and follows on from the success of the author's previous best-selling title Statistical Computing. * Features step-by-step instructions that assume no mathematics, statistics or programming background, helping the non-statistician to fully understand the methodology. * Uses a series of realistic examples, developing step-wise from the simplest cases, with the emphasis on checking the assumptions (e.g. constancy of variance and normality of errors) and the adequacy of the model chosen to fit the data. * The emphasis throughout is on estimation of effect sizes and confidence intervals, rather than on hypothesis testing. * Covers the full range of statistical techniques likely to be need to analyse the data from research projects, including elementary material like t-tests and chi-squared tests, intermediate methods like regression and analysis of variance, and more advanced techniques like generalized linear modelling. * Includes numerous worked examples and exercises within each chapter. * 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 such a concise introduction to a broad array of statistical methods, at a level that is elementary enough to appeal to a broad range of disciplines. It is primarily aimed at undergraduate students in medicine, engineering, economics and biology - but will also appeal to postgraduates who have not previously covered this area, or wish to switch to using R., Computer software is an essential tool for many statistical modelling and data analysis techniques, aiding in the implementation of large data sets in order to obtain useful results. R is one of the most powerful and flexible statistical software packages available, and enables the user to apply a wide variety of statistical methods ranging from simple regression to generalized linear modelling. Statistics: An Introduction using R is a clear and concise introductory textbook to statistical analysis using this powerful and free software, and follows on from the success of the author's previous best-selling title Statistical Computing. * Features step-by-step instructions that assume no mathematics, statistics or programming background, helping the non-statistician to fully understand the methodology. * Uses a series of realistic examples, developing step-wise from the simplest cases, with the emphasis on checking the assumptions (e.g. constancy of variance and normality of errors) and the adequacy of the model chosen to fit the data. * The emphasis throughout is on estimation of effect sizes and confidence intervals, rather than on hypothesis testing. * Covers the full range of statistical techniques likely to be need to analyse the data from research projects, including elementary material like t-tests and chi-squared tests, intermediate methods like regression and analysis of variance, and more advanced techniques like generalized linear modelling. * Includes numerous worked examples and exercises within each chapter. * 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 such a concise introduction to a broad array of statistical methods, at a level that is elementary enough to appeal to a broad range of disciplines. It is primarily aimed at undergraduate students in medicine, engineering, economics and biology - but will also appeal to postgraduates who have not previously covered this area, or wish to switch to using R.
LC Classification Number
QA276.12.C73 2005
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Angemeldet als privater VerkäuferDaher finden verbraucherschützende Vorschriften, die sich aus dem EU-Verbraucherrecht ergeben, keine Anwendung. Der eBay-Käuferschutz gilt dennoch für die meisten Käufe. Mehr erfahrenMehr erfahren
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- 9***u (369)- Bewertung vom Käufer.Letzter MonatBestätigter KaufGreat buying experience. Seller was open and communicated well. No dramas with overseas shipping. Well packaged and accurate description. Good value. Happy customer can recommend this seller
- s***y (392)- Bewertung vom Käufer.Letzter MonatBestätigter Kauf1st I have to say that, Lewie is an Outstanding Seller who goes above and beyond making sure your item arrives in great condition. So, I purchased two items from Lewie. I said I didn't need the original boxes, and that he could package them up in a small corrugated cardboard box together to save on the shipping cost. But that wasn't good enough for Lewie. He had a shipping box that was very close to the original boxes and they both fit into it. I highly recommend Lewie as a great seller. AAA++++
- d***c (1031)- Bewertung vom Käufer.Letzter MonatBestätigter KaufReceived 1/4 ton 4x4 Jeep one week from purchase date arriving in excellent condition due to packing. Kit is shrink wrapped and perfect condition as seller described.