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A Handbook of Statistical Analyses using R, Third Edition - Paperback - GOOD
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eBay item number:276420683298
Item specifics
- Condition
- Brand
- Unbranded
- Book Title
- A Handbook of Statistical Analyses using R, Third Edition
- MPN
- Does not apply
- ISBN
- 9781482204582
- Subject Area
- Mathematics
- Publication Name
- Handbook of Statistical Analyses Using R, Third Edition
- Publisher
- CRC Press LLC
- Item Length
- 9.3 in
- Subject
- Probability & Statistics / General
- Publication Year
- 2014
- Type
- Textbook
- Format
- Trade Paperback
- Language
- English
- Item Height
- 0.9 in
- Item Weight
- 23.2 Oz
- Item Width
- 6.5 in
- Number of Pages
- 456 Pages
About this product
Product Information
Like the best-selling first two editions, A Handbook of Statistical Analyses using R, Third Edition provides an up-to-date guide to data analysis using the R system for statistical computing. The book explains how to conduct a range of statistical analyses, from simple inference to recursive partitioning to cluster analysis. New to the Third Edition Three new chapters on quantile regression, missing values, and Bayesian inference Extra material in the logistic regression chapter that describes a regression model for ordered categorical response variables Additional exercises More detailed explanations of R code New section in each chapter summarizing the results of the analyses Updated version of the HSAUR package (HSAUR3), which includes some slides that can be used in introductory statistics courses Whether you're a data analyst, scientist, or student, this handbook shows you how to easily use R to effectively evaluate your data. With numerous real-world examples, it emphasizes the practical application and interpretation of results.
Product Identifiers
Publisher
CRC Press LLC
ISBN-10
1482204584
ISBN-13
9781482204582
eBay Product ID (ePID)
177724729
Product Key Features
Number of Pages
456 Pages
Language
English
Publication Name
Handbook of Statistical Analyses Using R, Third Edition
Publication Year
2014
Subject
Probability & Statistics / General
Type
Textbook
Subject Area
Mathematics
Format
Trade Paperback
Dimensions
Item Height
0.9 in
Item Weight
23.2 Oz
Item Length
9.3 in
Item Width
6.5 in
Additional Product Features
Edition Number
3
Intended Audience
College Audience
Dewey Edition
23
Reviews
"I truly appreciate how grounded in practicality this book is--and the way its chapters are structured really underlines this. Furthermore, all the datasets are interesting and vary widely in subject matter. If nothing else, this book is an excellent source of examples one might use to illustrate a variety of statistical techniques. ... it offers a lot of good places to start if one wants to analyze data. ... The book comes hand-in-hand with an R package, HSAUR3, with all the data and the code used in the text. The book is thus fully reproducible. Overall, it provides a great way for a statistician to get started doing a wide variety of things in the R environment. It would be particularly useful, then, for working statisticians looking to change their software. The book cites all the relevant packages one might need, which is quite nice for those attempting to navigate the vast array of packages freely available, and is quite clear in its presentation of the code. Between this and the datasets, it makes for quite a valuable and enjoyable reference." --The American Statistician, August 2015 "... a handy primer for using R to perform standard statistical data analysis. ... students, analysts, professors, and scientists: if you are looking to add R to your toolkit for analyzing data statistically, then this book will get you there." --Kendall Giles on his blog, September 2014 Praise for the Second Edition: "I find the book by Everitt and Hothorn quite pleasant and bound to fit its purpose. The layout and presentation [are] nice. It should appeal to all readers as it contains a wealth of information about the use of R for statistical analysis. Included seasoned R users: When reading the first chapters, I found myself scribbling small lightbulbs in the margin to point out features of R I was not aware of. In addition, the book is quite handy for a crash introduction to statistics for (well-enough motivated) nonstatisticians." --International Statistical Review(2011), 79 "... an extensive selection of real data analyzed with [R] ... Viewed as a collection of worked examples, this book has much to recommend it. Each chapter addresses a specific technique. ... the examples provide a wide variety of partial analyses and the datasets cover a diversity of fields of study. ... This handbook is unusually free of the sort of errors spell checkers do not find." --MAA Reviews, April 2011, Praise for the Second Edition: "I find the book by Everitt and Hothorn quite pleasant and bound to fit its purpose. The layout and presentation [are] nice. It should appeal to all readers as it contains a wealth of information about the use of R for statistical analysis. Included seasoned R users: When reading the first chapters, I found myself scribbling small lightbulbs in the margin to point out features of R I was not aware of. In addition, the book is quite handy for a crash introduction to statistics for (well-enough motivated) nonstatisticians." --International Statistical Review (2011), 79 "... an extensive selection of real data analyzed with [R] ... Viewed as a collection of worked examples, this book has much to recommend it. Each chapter addresses a specific technique. ... the examples provide a wide variety of partial analyses and the datasets cover a diversity of fields of study. ... This handbook is unusually free of the sort of errors spell checkers do not find." --MAA Reviews, April 2011, "... a handy primer for using R to perform standard statistical data analysis. ... students, analysts, professors, and scientists: if you are looking to add R to your toolkit for analyzing data statistically, then this book will get you there." --Kendall Giles on his blog, September 2014 Praise for the Second Edition: "I find the book by Everitt and Hothorn quite pleasant and bound to fit its purpose. The layout and presentation [are] nice. It should appeal to all readers as it contains a wealth of information about the use of R for statistical analysis. Included seasoned R users: When reading the first chapters, I found myself scribbling small lightbulbs in the margin to point out features of R I was not aware of. In addition, the book is quite handy for a crash introduction to statistics for (well-enough motivated) nonstatisticians." --International Statistical Review (2011), 79 "... an extensive selection of real data analyzed with [R] ... Viewed as a collection of worked examples, this book has much to recommend it. Each chapter addresses a specific technique. ... the examples provide a wide variety of partial analyses and the datasets cover a diversity of fields of study. ... This handbook is unusually free of the sort of errors spell checkers do not find." --MAA Reviews, April 2011
Illustrated
Yes
Dewey Decimal
519.502855133
Edition Description
Revised Edition,New Edition
Lc Classification Number
Qa276.45.R3h68 2014
Table of Content
Introduction Density Estimation Analysis Using R Summary of Findings Final Comments Recursive Partitioning Introduction Recursive Partitioning Analysis Using R Summary of Findings Final Comments Scatterplot Smoothers and Additive Models Introduction Scatterplot Smoothers and Generalised Additive Models Analysis Using R Summary of Findings Final Comments Survival Analysis Introduction Survival Analysis Analysis Using R Summary of Findings Final Comments Quantile Regression Introduction Quantile Regression Analysis Using R Summary of Findings Final Comments Analysing Longitudinal Data I Introduction Analysing Longitudinal Data Linear Mixed Effects Models Analysis Using R Prediction of Random Effects The Problem of Dropouts Summary of Findings Final Comments Analysing Longitudinal Data II Introduction Methods for Non-Normal Distributions Analysis Using R: GEE Analysis Using R: Random Effects Summary of Findings Final Comments Simultaneous Inference and Multiple Comparisons Introduction Simultaneous Inference and Multiple Comparisons Analysis Using R Summary of Findings Final Comments Missing Values Introduction The Problems of Missing Data Dealing with Missing Values Imputing Missing Values Analyzing Multiply Imputed Data Analysis Using R Summary of Findings Final Comments Meta-Analysis Introduction Systematic Reviews and Meta-Analysis Statistics of Meta-Analysis Analysis Using R Meta-Regression Publication Bias Summary of Findings Final Comments Bayesian Inference Introduction Bayesian Inference Analysis Using R Summary of Findings Final Comments Principal Component Analysis Introduction Principal Component Analysis Analysis Using R Summary of Findings Final Comments Multidimensional Scaling Introduction Multidimensional Scaling Analysis Using R Summary of Findings Final Comments Cluster Analysis Introduction Cluster Analysis Analysis Using R Summary of Findings Final Comments Bibliography Index
Copyright Date
2014
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eBay item number:276420683298
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