From Book News, Inc.
Running the gamut of statistical methods, this textbook is adaptable to either an undergraduate or graduate course for non-statisticians and can also serve as a reference for practicing researchers. Crawley (Imperial College of Science, UK) introduces the functions executable in the S-Plus computer package, and walks through worked examples of computer analyses for each technique throughout the book. The 36 chapters cover regression, variance, generalized linear models, tree models, non-parametric smoothing, and time series analysis. No review exercises are provided.Copyright © 2004 Book News, Inc., Portland, OR
Review
"...suitable as a reference book for experienced statisticians, a vehicle for learning the S statistical computing language, or a resource for statistics instructors..." (The American Statistician, Vol. 58, No. 1, February 2004)
"...especially useful as an introduction to a wide variety of data analysis techniques." (R News)
"...The book is well written - there is an air of common sense throughout - and is at a level which ensures its usefulness for a wide range of readers..." (Zentralblatt Math, Vol. 1001, No.01, 2003)
"...the book is a useful and practical introduction to many areas of statistical data analysis." (Computational STatistics & Data Analysis)
"...surely not the last statistics book you’ll ever need, but it might well be the first you will ever really use." (Basic Applied Ecology, Vol. 4, No. 3)
"...recommended...contains a wealth of sage advice..." (Technometrics, Vol. 45, No. 4, November 2003)
“...a practical introduction to statistics...does not cover all...sophisticated statistical and graphical features of the S-Plus system, but provides a first class starting point—and, probably, for most readers, a sufficient end point.” (Quarterly of Applied Mathematics, LXI, No. 4, December 2003)
“…a valiant and useful first attempt to present both statistics and S-PLUS together…” (Journal of The Royal Statistical Society Vol.167 No.4)
Review
"...suitable as a reference book for experienced statisticians, a vehicle for learning the S statistical computing language, or a resource for statistics instructors..." (The American Statistician, Vol. 58, No. 1, February 2004)
"...especially useful as an introduction to a wide variety of data analysis techniques." (R News)
"...The book is well written - there is an air of common sense throughout - and is at a level which ensures its usefulness for a wide range of readers..." (Zentralblatt Math, Vol. 1001, No.01, 2003)
"...the book is a useful and practical introduction to many areas of statistical data analysis." (Computational STatistics & Data Analysis)
"...surely not the last statistics book you’ll ever need, but it might well be the first you will ever really use." (Basic Applied Ecology, Vol. 4, No. 3)
"...recommended...contains a wealth of sage advice..." (Technometrics, Vol. 45, No. 4, November 2003)
“...a practical introduction to statistics...does not cover all...sophisticated statistical and graphical features of the S-Plus system, but provides a first class starting point—and, probably, for most readers, a sufficient end point.” (Quarterly of Applied Mathematics, LXI, No. 4, December 2003)
“…a valiant and useful first attempt to present both statistics and S-PLUS together…” (Journal of The Royal Statistical Society Vol.167 No.4)
Computational STatistics & Data Analysis
"...the book is a useful and practical introduction to many areas of statistical data analysis."
R News
"...especially useful as an introduction to a wide variety of data analysis techniques."
Computational STatistics & Data Analysis
"...the book is a useful and practical introduction to many areas of statistical data analysis."
Technometrics, Vol. 45, No. 4, November 2003
"...recommended...contains a wealth of sage advice..."
R News
"...especially useful as an introduction to a wide variety of data analysis techniques."
Computational STatistics & Data Analysis
"...the book is a useful and practical introduction to many areas of statistical data analysis."
Technometrics, Vol. 45, No. 4, November 2003
"...recommended...contains a wealth of sage advice..."
Book Description
Many statistical modelling and data analysis techniques can be difficult to grasp and apply, and it is often necessary to use computer software to aid the implementation of large data sets and to obtain useful results. S-Plus is recognised as one of the most powerful and flexible statistical software packages, and it enables the user to apply a number of statistical methods, ranging from simple regression to time series or multivariate analysis. This text offers extensive coverage of many basic and more advanced statistical methods, concentrating on graphical inspection, and features step-by-step instructions to help the non-statistician to understand fully the methodology. Extensive coverage of basic, intermediate and advanced statistical methods Uses S-Plus, which is recognised globally as one of the most powerful and flexible statistical software packages Emphasis is on graphical data inspection, parameter estimation and model criticism Features hundreds of worked examples to illustrate the techniques described Accessible to scientists from a large number of disciplines with minimal statistical knowledge Written by a leading figure in the field, who runs a number of successful international short courses Accompanied by a Web site featuring worked examples, data sets, exercises and solutions A valuable reference resource for researchers, professionals, lecturers and students from statistics, the life sciences, medicine, engineering, economics and the social sciences.
Book Info
A pragmatic introduction to analyzing data using S-Plus, whilst covering a huge breadth of topics, and assuming minimal statistical knowledge. Emphasizes graphical data inspection, parameter estimation and model criticism.
From the Back Cover
S-Plus is a first-rate graphical environment, used by thousands worldwide to perform basic, intermediate and advanced statistical analysis. It is remarkably powerful, yet relatively simple to use, once you have the basics at your fingertips. Statistical Computing: An Introduction to Data Analysis using S-Plus provides a pragmatic introduction to analysing data using S-Plus, whilst covering a huge breadth of topics, and assuming minimal statistical knowledge. Provides an accessible yet comprehensive introduction to statistical computing, and can be used as a reference volume for S-Plus. Covers a breadth of topics, including the basics, such as sampling and measures of central tendency and variation; the intermediate, such as analysis of variance and regression; and the most advanced modern methods, such as nonlinear mixed effects modelling and tree models. Develops each concept from first principles in small steps, with worked examples and implementation advice throughout. Assumes minimal experience of statistics and computing. Emphasises graphical data inspection, parameter estimation and model criticism. Supported by a Web site featuring all the data-frames, along with problems and worked examples. This is very much an introductory statistics book for all scientists. It is based on the premise that effective data analysis requires the mastery of a core of central ideas and methods, and that these cut across the boundaries of academic disciplines. It is suitable for advanced undergraduate, graduate students, researchers, and industry professionals from science, medicine, engineering, economics, the social sciences, and many other disciplines that have a need for statistical data analysis.
Home
