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Introductory Statistics with R - Paperback, by Dalgaard Peter - Good o
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N.º de artículo de eBay:126477914069
Última actualización el 03 sep 2025 01:24:19 H.EspVer todas las actualizacionesVer todas las actualizaciones
Características del artículo
- Estado
- Book Title
- Introductory Statistics with R (Statistics and Computing)
- ISBN
- 9780387790534
Acerca de este producto
Product Identifiers
Publisher
Springer New York
ISBN-10
0387790535
ISBN-13
9780387790534
eBay Product ID (ePID)
66588261
Product Key Features
Number of Pages
Xvi, 364 Pages
Publication Name
Introductory Statistics with R
Language
English
Publication Year
2008
Subject
Programming Languages / General, Mathematical & Statistical Software, Probability & Statistics / General, Bioinformatics
Type
Textbook
Subject Area
Mathematics, Computers
Series
Statistics and Computing Ser.
Format
Trade Paperback
Dimensions
Item Weight
42 Oz
Item Length
9.3 in
Item Width
6.1 in
Additional Product Features
Edition Number
2
Intended Audience
Scholarly & Professional
Dewey Edition
21
Number of Volumes
1 vol.
Illustrated
Yes
Dewey Decimal
519.5
Table Of Content
Basics.- The R environment.- Probability and distributions.- Descriptive statistics and graphics.- One- and two-sample tests.- Regression and correlation.- Analysis of variance and the Kruskal-Wallis test.- Tabular data.- Power and the computation of sample size.- Advanced data handling.- Multiple regression.- Linear models.- Logistic regression.- Survival analysis.- Rates and Poisson regression.- Nonlinear curve fitting.
Synopsis
R is an Open Source implementation of the S language. It works on multiple computing platforms and can be freely downloaded. R is now in widespread use for teaching at many levels as well as for practical data analysis and methodological development. This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics. The main mode of presentation is via code examples with liberal commenting of the code and the output, from the computational as well as the statistical viewpoint. A supplementary R package can be downloaded and contains the data sets. The statistical methodology includes statistical standard distributions, one- and two-sample tests with continuous data, regression analysis, one- and two-way analysis of variance, regression analysis, analysis of tabular data, and sample size calculations. In addition, the last six chapters contain introductions to multiple linear regression analysis, linear models in general, logistic regression, survival analysis, Poisson regression, and nonlinear regression. In the second edition, the text and code have been updated to R version 2.6.2. The last two methodological chapters are new, as is a chapter on advanced data handling. The introductory chapter has been extended and reorganized as two chapters. Exercises have been revised and answers are now provided in an Appendix., This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics. This new edition has been updated to R 2.6.2 and features new and expanded coverage., This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics. The main mode of presentation is via code examples with liberal commenting of the code and the output, from the computational as well as the statistical viewpoint. Brief sections introduce the statistical methods before they are used. A supplementary R package can be downloaded and contains the data sets. All examples are directly runnable and all graphics in the text are generated from the examples. The statistical methodology covered includes statistical standard distributions, one- and two-sample tests with continuous data, regression analysis, one- and two-way analysis of variance, regression analysis, analysis of tabular data, and sample size calculations. In addition, the last four chapters contain introductions to multiple linear regression analysis, linear models in general, logistic regression, and survival analysis.
LC Classification Number
QA273.A1-274.9
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- Proceso de votación automática de eBay- Votos emitidos por el comprador.Mes pasadoEl pedido se ha entregado con puntualidad y sin incidencias
- 7***j (850)- Votos emitidos por el comprador.Últimos 6 mesesCompra verificadaI recently purchased an item from this eBay seller, and I couldn't be happier with the experience. From the prompt communication to the fast shipping, everything was handled with utmost professionalism. The item arrived exactly as described and was well-packaged to ensure its safety during transit. The seller was courteous and responsive, making the entire transaction smooth and hassle-free. I highly recommend this seller to anyone looking for quality products and excellent service.
- c***m (444)- Votos emitidos por el comprador.Últimos 6 mesesCompra verificadaWOW!; I cannot believe this 4 Days to Hawaii! ; AAA+++; Excellent Service; Great Pricing; Fast Delivery-Faster Than Expected to Hawaii!; Shipped 04/19, Sat, Received 04/24 Thur to Hawaii using free shipping; USPS Ground Mail, Paperback Book in Good Condition--Better Than Described ; TLC Packaging; Excellent Seller Communication, Sends updates . Highly Recommended!, Thank you very much!The Great Crash, 1929 - Paperback, by J K Galbraith - Acceptable (#125958575357)
- c***e (34)- Votos emitidos por el comprador.Mes pasadoCompra verificadaThe textbook was better than described. It looks like brand new! The price was appropriate for the type of textbook that it is. The appearance and quality of the textbook was impeccable. The shipping took about 2 weeks to arrive, but the textbook was well worth the wait. Seller packaged my textbook beautifully which ensured that it arrived unharmed and in perfect condition. Excellent seller! I would purchase more items from this seller in the future!