Modern Applied Statistics with S

Modern Applied Statistics with S
Author : W.N. Venables
Publisher : Springer
Total Pages : 498
Release : 2010-12-01
ISBN 10 : 1441930086
ISBN 13 : 9781441930088
Language : EN, FR, DE, ES & NL

Modern Applied Statistics with S Book Description:

A guide to using S environments to perform statistical analyses providing both an introduction to the use of S and a course in modern statistical methods. The emphasis is on presenting practical problems and full analyses of real data sets.

Modern Applied Statistics with S

Modern Applied Statistics with S
Author : W.N. Venables
Publisher : Springer Science & Business Media
Total Pages : 498
Release : 2013-03-09
ISBN 10 : 9780387217062
ISBN 13 : 0387217061
Language : EN, FR, DE, ES & NL

Modern Applied Statistics with S Book Description:

A guide to using S environments to perform statistical analyses providing both an introduction to the use of S and a course in modern statistical methods. The emphasis is on presenting practical problems and full analyses of real data sets.

Modern Applied Statistics with S PLUS

Modern Applied Statistics with S PLUS
Author : William N. Venables
Publisher : Springer Science & Business Media
Total Pages : 549
Release : 2013-11-11
ISBN 10 : 9781475727197
ISBN 13 : 1475727194
Language : EN, FR, DE, ES & NL

Modern Applied Statistics with S PLUS Book Description:

A guide to using the power of S-PLUS to perform statistical analyses, providing both an introduction to the program and a course in modern statistical methods. Readers are assumed to have a basic grounding in statistics, thus the book is intended for would-be users, as well as students and researchers using statistics. Throughout, the emphasis is on presenting practical problems and full analyses of real data sets, with many of the methods discussed being modern approaches to topics such as linear and non-linear regression models, robust and smooth regression methods, survival analysis, multivariate analysis, tree-based methods, time series, spatial statistics, and classification. This second edition is intended for users of S-PLUS 3.3, or later, and covers both Windows and UNIX. It treats the recent developments in graphics and new statistical functionality, including bootstraping, mixed effects linear and non-linear models, factor analysis, and regression with autocorrelated errors. The authors have written several software libraries which enhance S-PLUS, and these, plus all the datasets used, are available on the Internet.

Modern Applied Statistics with S Plus

Modern Applied Statistics with S Plus
Author : W.N. Venables
Publisher : Springer
Total Pages : 462
Release : 2013-07-23
ISBN 10 : 1489928200
ISBN 13 : 9781489928207
Language : EN, FR, DE, ES & NL

Modern Applied Statistics with S Plus Book Description:

A guide to using S-Plus to perform statistical analyses, serving as both an introduction to the use of S-Plus and as a course in modern statistical methods. The experienced authors show how to use S-Plus as a powerful and graphical system, with the emphasis on presenting practical problems and full analyses of real data sets throughout. A basic grounding in statistics is assumed, making this book suitable for would-be users of S-Plus, as well as students and researchers using statistics.

Modern Applied Statistics with S PLUS

Modern Applied Statistics with S PLUS
Author : W.N. Venables
Publisher : Springer Science & Business Media
Total Pages : 501
Release : 2013-04-17
ISBN 10 : 9781475731217
ISBN 13 : 1475731213
Language : EN, FR, DE, ES & NL

Modern Applied Statistics with S PLUS Book Description:

This best-selling guide has been completely updated to present the newest features of S-PLUS 5.0, and includes the very latest computationally-intensive methods and techniques. In addition, extensive software libraries, data sets, and complements will be available online. "the task the authors have undertaken is challenginggetting new S/S-Plus users to quickly learn the fundamentals of the language and presenting a modern approach to data analysis through numerous examples from many areas of statistics. They succeed in this" TECHNOMETRICS

S Programming

S Programming
Author : William Venables
Publisher : Springer Science & Business Media
Total Pages : 265
Release : 2013-03-09
ISBN 10 : 9780387218564
ISBN 13 : 0387218564
Language : EN, FR, DE, ES & NL

S Programming Book Description:

S is a high-level language for manipulating, analysing and displaying data. It forms the basis of two highly acclaimed and widely used data analysis software systems, the commercial S-PLUS® and the Open Source R. This book provides an in-depth guide to writing software in the S language under either or both of those systems. It is intended for readers who have some acquaintance with the S language and want to know how to use it more effectively, for example to build re-usable tools for streamlining routine data analysis or to implement new statistical methods. One of the outstanding strengths of the S language is the ease with which it can be extended by users. S is a functional language, and functions written by users are first-class objects treated in the same way as functions provided by the system. S code is eminently readable and so a good way to document precisely what algorithms were used, and as much of the implementations are themselves written in S, they can be studied as models and to understand their subtleties. The current implementations also provide easy ways for S functions to call compiled code written in C, Fortran and similar languages; this is documented here in depth. Increasingly S is being used for statistical or graphical analysis within larger software systems or for whole vertical-market applications. The interface facilities are most developed on Windows® and these are covered with worked examples. The authors have written the widely used Modern Applied Statistics with S-PLUS, now in its third edition, and several software libraries that enhance S-PLUS and R; these and the examples used in both books are available on the Internet. Dr. W.N. Venables is a senior Statistician with the CSIRO/CMIS Environmetrics Project in Australia, having been at the Department of Statistics, University of Adelaide for many years previously. Professor B.D. Ripley holds the Chair of Applied Statistics at the University of Oxford, and is the author of four other books on spatial statistics, simulation, pattern recognition and neural networks. Both authors are known and respected throughout the international S and R communities, for their books, workshops, short courses, freely available software and through their extensive contributions to the S-news and R mailing lists.

Modern Applied Statistics with S Plus

Modern Applied Statistics with S Plus
Author : W.N. Venables
Publisher : Springer
Total Pages : 462
Release : 2013-11-11
ISBN 10 : 9781489928191
ISBN 13 : 1489928197
Language : EN, FR, DE, ES & NL

Modern Applied Statistics with S Plus Book Description:

A guide to using S-Plus to perform statistical analyses, serving as both an introduction to the use of S-Plus and as a course in modern statistical methods. The experienced authors show how to use S-Plus as a powerful and graphical system, with the emphasis on presenting practical problems and full analyses of real data sets throughout. A basic grounding in statistics is assumed, making this book suitable for would-be users of S-Plus, as well as students and researchers using statistics.

Modern Applied Statistics with S PLUS

Modern Applied Statistics with S PLUS
Author : William N. Venables
Publisher : Springer
Total Pages : 549
Release : 2014-01-23
ISBN 10 : 1475727208
ISBN 13 : 9781475727203
Language : EN, FR, DE, ES & NL

Modern Applied Statistics with S PLUS Book Description:

A guide to using the power of S-PLUS to perform statistical analyses, providing both an introduction to the program and a course in modern statistical methods. Readers are assumed to have a basic grounding in statistics, thus the book is intended for would-be users, as well as students and researchers using statistics. Throughout, the emphasis is on presenting practical problems and full analyses of real data sets, with many of the methods discussed being modern approaches to topics such as linear and non-linear regression models, robust and smooth regression methods, survival analysis, multivariate analysis, tree-based methods, time series, spatial statistics, and classification. This second edition is intended for users of S-PLUS 3.3, or later, and covers both Windows and UNIX. It treats the recent developments in graphics and new statistical functionality, including bootstraping, mixed effects linear and non-linear models, factor analysis, and regression with autocorrelated errors. The authors have written several software libraries which enhance S-PLUS, and these, plus all the datasets used, are available on the Internet.

Applied Statistics

Applied Statistics
Author : Dieter Rasch
Publisher : John Wiley & Sons
Total Pages : 512
Release : 2019-07-30
ISBN 10 : 9781119551553
ISBN 13 : 1119551552
Language : EN, FR, DE, ES & NL

Applied Statistics Book Description:

Instructs readers on how to use methods of statistics and experimental design with R software Applied statistics covers both the theory and the application of modern statistical and mathematical modelling techniques to applied problems in industry, public services, commerce, and research. It proceeds from a strong theoretical background, but it is practically oriented to develop one's ability to tackle new and non-standard problems confidently. Taking a practical approach to applied statistics, this user-friendly guide teaches readers how to use methods of statistics and experimental design without going deep into the theory. Applied Statistics: Theory and Problem Solutions with R includes chapters that cover R package sampling procedures, analysis of variance, point estimation, and more. It follows on the heels of Rasch and Schott's Mathematical Statistics via that book's theoretical background—taking the lessons learned from there to another level with this book’s addition of instructions on how to employ the methods using R. But there are two important chapters not mentioned in the theoretical back ground as Generalised Linear Models and Spatial Statistics. Offers a practical over theoretical approach to the subject of applied statistics Provides a pre-experimental as well as post-experimental approach to applied statistics Features classroom tested material Applicable to a wide range of people working in experimental design and all empirical sciences Includes 300 different procedures with R and examples with R-programs for the analysis and for determining minimal experimental sizes Applied Statistics: Theory and Problem Solutions with R will appeal to experimenters, statisticians, mathematicians, and all scientists using statistical procedures in the natural sciences, medicine, and psychology amongst others.

Applied Statistics for Engineers and Scientists

Applied Statistics for Engineers and Scientists
Author : Jay L. Devore
Publisher : Cengage Learning
Total Pages : 656
Release : 2013-08-08
ISBN 10 : 9781285972428
ISBN 13 : 1285972422
Language : EN, FR, DE, ES & NL

Applied Statistics for Engineers and Scientists Book Description:

This concise book for engineering and sciences students emphasizes modern statistical methodology and data analysis. APPLIED STATISTICS FOR ENGINEERS AND SCIENTISTS is ideal for one-term courses that cover probability only to the extent that it is needed for inference. The authors emphasize application of methods to real problems, with real examples throughout. The text is designed to meet ABET standards and has been updated to reflect the most current methodology and practice. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.