184,49 € *

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Regression Through Graphics: Cook

Anbieter: Hugendubel.de

Stand: 14.09.2019 Zum Angebot

Stand: 14.09.2019 Zum Angebot

146,99 € *

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(146,99 € / in stock)

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(146,99 € / in stock)

Regression Graphics:Ideas for Studying Regressions Through Graphics R. Dennis Cook

Anbieter: Hugendubel.de

Stand: 05.09.2019 Zum Angebot

Stand: 05.09.2019 Zum Angebot

194,49 € *

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Applied Regression Computing Graphics: Cook/ Weisberg

Anbieter: Hugendubel.de

Stand: 14.09.2019 Zum Angebot

Stand: 14.09.2019 Zum Angebot

152,99 € *

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(152,99 € / in stock)

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Applied Regression Including Computing and Graphics: R. Dennis Cook/ Sanford Weisberg

Anbieter: Hugendubel.de

Stand: 05.09.2019 Zum Angebot

Stand: 05.09.2019 Zum Angebot

33,99 € *

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With more than 200 practical recipes, this book helps you perform data analysis with R quickly and efficiently. The R language provides everything you need to do statistical work, but its structure can be difficult to master. This collection of concise, task-oriented recipes makes you productive with R immediately, with solutions ranging from basic tasks to input and output, general statistics, graphics, and linear regression. Each recipe addresses a specific problem, with a discussion that explains the solution and offers insight into how it works. If you?re a beginner, R Cookbook will help get you started. If you?re an experienced data programmer, it will jog your memory and expand your horizons. You?ll get the job done faster and learn more about R in the process. * Create vectors, handle variables, and perform other basic functions * Input and output data * Tackle data structures such as matrices, lists, factors, and data frames * Work with probability, probability distributions, and random variables * Calculate statistics and confidence intervals, and perform statistical tests * Create a variety of graphic displays * Build statistical models with linear regressions and analysis of variance (ANOVA) * Explore advanced statistical techniques, such as finding clusters in your data ´´Wonderfully readable, R Cookbook serves not only as a solutions manual of sorts, but as a truly enjoyable way to explore the R language?one practical example at a time.´´?Jeffrey Ryan, software consultant and R package author

Anbieter: buecher.de

Stand: 06.09.2019 Zum Angebot

Stand: 06.09.2019 Zum Angebot

28,95 € *

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With more than 200 practical recipes, this book helps you perform data analysis with R quickly and efficiently. The R language provides everything you need to do statistical work, but its structure can be difficult to master. This collection of concise, task-oriented recipes makes you productive with R immediately, with solutions ranging from basic tasks to input and output, general statistics, graphics, and linear regression.Each recipe addresses a specific problem, with a discussion that explains the solution and offers insight into how it works. If youre a beginner, R Cookbook will help get you started. If youre an experienced data programmer, it will jog your memory and expand your horizons. Youll get the job done faster and learn more about R in the process.Create vectors, handle variables, and perform other basic functionsInput and output dataTackle data structures such as matrices, lists, factors, and data framesWork with probability, probability distributions, and random variablesCalculate statistics and confidence intervals, and perform statistical testsCreate a variety of graphic displaysBuild statistical models with linear regressions and analysis of variance (ANOVA)Explore advanced statistical techniques, such as finding clusters in your data"e;Wonderfully readable, R Cookbook serves not only as a solutions manual of sorts, but as a truly enjoyable way to explore the R languageone practical example at a time."e;Jeffrey Ryan, software consultant and R package author

Anbieter: buecher.de

Stand: 06.09.2019 Zum Angebot

Stand: 06.09.2019 Zum Angebot

23,99 € *

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Mastering R has never been easier Picking up R can be tough, even for seasoned statisticians and data analysts. R For Dummies, 2nd Edition provides a quick and painless way to master all the R you´ll ever need. Requiring no prior programming experience and packed with tons of practical examples, step-by-step exercises, and sample code, this friendly and accessible guide shows you how to know your way around lists, data frames, and other R data structures, while learning to interact with other programs, such as Microsoft Excel. You´ll learn how to reshape and manipulate data, merge data sets, split and combine data, perform calculations on vectors and arrays, and so much more. R is an open source statistical environment and programming language that has become very popular in varied fields for the management and analysis of data. R provides a wide array of statistical and graphical techniques, and has become the standard among statisticians for software development and data analysis. R For Dummies, 2nd Edition takes the intimidation out of working with R and arms you with the knowledge and know-how to master the programming language of choice among statisticians and data analysts worldwide. * Covers downloading, installing, and configuring R * Includes tips for getting data in and out of R * Offers advice on fitting regression models and ANOVA * Provides helpful hints for working with graphics R For Dummies, 2nd Edition is an ideal introduction to R for complete beginners, as well as an excellent technical reference for experienced R programmers.

Anbieter: buecher.de

Stand: 09.09.2019 Zum Angebot

Stand: 09.09.2019 Zum Angebot

47,99 € *

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An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

Anbieter: buecher.de

Stand: 06.09.2019 Zum Angebot

Stand: 06.09.2019 Zum Angebot

57,99 € *

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This book describes the important ideas in a variety of fields such as medicine, biology, finance, and marketing in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of colour graphics. It is a valuable resource for statisticians and anyone interested in data mining in science or industry. The book´s coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting---the first comprehensive treatment of this topic in any book. This major new edition features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression & path algorithms for the lasso, non-negative matrix factorisation, and spectral clustering. There is also a chapter on methods for ´´wide´´ data (p bigger than n), including multiple testing and false discovery rates.

Anbieter: buecher.de

Stand: 07.09.2019 Zum Angebot

Stand: 07.09.2019 Zum Angebot