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Statistical Computing. An Introduction to Data Analysis using S-Plus

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Many statistical modeling and data analysis techniques can be challenging to understand and implement, often requiring computer software for large data sets to yield useful results. S-Plus is a powerful and flexible statistical software package that allows users to apply various statistical methods, from simple regression to time series and multivariate analysis. This text provides extensive coverage of both basic and advanced statistical methods, with a focus on graphical inspection. It includes step-by-step instructions designed for non-statisticians to fully grasp the methodology. Key features include comprehensive coverage of statistical methods, the use of S-Plus, an emphasis on graphical data inspection, parameter estimation, and model criticism. The text contains hundreds of worked examples that illustrate the techniques described, making it accessible to scientists across various disciplines with minimal statistical knowledge. Authored by a leading figure in the field, who conducts successful international short courses, the book is complemented by a website offering worked examples, data sets, exercises, and solutions. It serves as a valuable reference for researchers, professionals, lecturers, and students in statistics, life sciences, medicine, engineering, economics, and social sciences.

Zakup książki

Statistical Computing. An Introduction to Data Analysis using S-Plus, Michael J. Crawley

Język
Rok wydania
2002
Oprawa
(twarda)
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3,5
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Tytuł
Statistical Computing. An Introduction to Data Analysis using S-Plus
Język
angielski
Wydawca
WILEY
Rok wydania
2002
Oprawa
twarda
ISBN10
0471560405
ISBN13
9780471560401
Seria
Tagi
Ocena
3,5 z 5
Opis
Many statistical modeling and data analysis techniques can be challenging to understand and implement, often requiring computer software for large data sets to yield useful results. S-Plus is a powerful and flexible statistical software package that allows users to apply various statistical methods, from simple regression to time series and multivariate analysis. This text provides extensive coverage of both basic and advanced statistical methods, with a focus on graphical inspection. It includes step-by-step instructions designed for non-statisticians to fully grasp the methodology. Key features include comprehensive coverage of statistical methods, the use of S-Plus, an emphasis on graphical data inspection, parameter estimation, and model criticism. The text contains hundreds of worked examples that illustrate the techniques described, making it accessible to scientists across various disciplines with minimal statistical knowledge. Authored by a leading figure in the field, who conducts successful international short courses, the book is complemented by a website offering worked examples, data sets, exercises, and solutions. It serves as a valuable reference for researchers, professionals, lecturers, and students in statistics, life sciences, medicine, engineering, economics, and social sciences.