Linear models with R:
Part of the core of statistics, linear models are used to make predictions and explain the relationship between the response and the predictors. Understanding linear models is crucial to a broader competence in the practice of statistics. Linear Models with R, Second Edition explains how to use line...
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Boca Raton, FL [u.a.]
CRC Press
2014
|
| Edition: | 2. edition |
| Series: | Texts in statistical science
A Chapman & Hall Book |
| Subjects: | |
| Summary: | Part of the core of statistics, linear models are used to make predictions and explain the relationship between the response and the predictors. Understanding linear models is crucial to a broader competence in the practice of statistics. Linear Models with R, Second Edition explains how to use linear models in physical science, engineering, social science, and business applications. The book incorporates several improvements that reflect how the world of R has greatly expanded since the publication of the first edition. |
| Physical Description: | XII, 274 S. graph. Darst. |
| ISBN: | 9781439887332 |
Staff View
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Record in the Search Index
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| any_adam_object | |
| author | Faraway, Julian James |
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| contents | New to the Second Edition: Reorganized material on interpreting linear models, which distinguishes the main applications of prediction and explanation and introduces elementary notions of causality Additional topics, including QR decomposition, splines, additive models, Lasso, multiple imputation, and false discovery rates Extensive use of the ggplot2 graphics package in addition to base graphics |
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| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.538 |
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| dewey-tens | 510 - Mathematics |
| discipline | Agrar-/Forst-/Ernährungs-/Haushaltswissenschaft / Gartenbau Mathematik |
| edition | 2. edition |
| format | Book |
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| indexdate | 2024-07-10T01:02:01Z |
| institution | BVB |
| isbn | 9781439887332 |
| language | English |
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| physical | XII, 274 S. graph. Darst. |
| publishDate | 2014 |
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| series2 | Texts in statistical science A Chapman & Hall Book |
| spelling | Faraway, Julian James Verfasser (DE-588)1059787571 aut Linear models with R Julian J. Faraway 2. edition Boca Raton, FL [u.a.] CRC Press 2014 XII, 274 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Texts in statistical science A Chapman & Hall Book New to the Second Edition: Reorganized material on interpreting linear models, which distinguishes the main applications of prediction and explanation and introduces elementary notions of causality Additional topics, including QR decomposition, splines, additive models, Lasso, multiple imputation, and false discovery rates Extensive use of the ggplot2 graphics package in addition to base graphics Part of the core of statistics, linear models are used to make predictions and explain the relationship between the response and the predictors. Understanding linear models is crucial to a broader competence in the practice of statistics. Linear Models with R, Second Edition explains how to use linear models in physical science, engineering, social science, and business applications. The book incorporates several improvements that reflect how the world of R has greatly expanded since the publication of the first edition. Varianzanalyse (DE-588)4187413-4 gnd rswk-swf R Programm (DE-588)4705956-4 gnd rswk-swf Lineares Modell (DE-588)4134827-8 gnd rswk-swf Regressionsanalyse (DE-588)4129903-6 gnd rswk-swf (DE-588)4151278-9 Einführung gnd-content Regressionsanalyse (DE-588)4129903-6 s Lineares Modell (DE-588)4134827-8 s Varianzanalyse (DE-588)4187413-4 s R Programm (DE-588)4705956-4 s DE-604 |
| spellingShingle | Faraway, Julian James Linear models with R New to the Second Edition: Reorganized material on interpreting linear models, which distinguishes the main applications of prediction and explanation and introduces elementary notions of causality Additional topics, including QR decomposition, splines, additive models, Lasso, multiple imputation, and false discovery rates Extensive use of the ggplot2 graphics package in addition to base graphics Varianzanalyse (DE-588)4187413-4 gnd R Programm (DE-588)4705956-4 gnd Lineares Modell (DE-588)4134827-8 gnd Regressionsanalyse (DE-588)4129903-6 gnd |
| subject_GND | (DE-588)4187413-4 (DE-588)4705956-4 (DE-588)4134827-8 (DE-588)4129903-6 (DE-588)4151278-9 |
| title | Linear models with R |
| title_auth | Linear models with R |
| title_exact_search | Linear models with R |
| title_full | Linear models with R Julian J. Faraway |
| title_fullStr | Linear models with R Julian J. Faraway |
| title_full_unstemmed | Linear models with R Julian J. Faraway |
| title_short | Linear models with R |
| title_sort | linear models with r |
| topic | Varianzanalyse (DE-588)4187413-4 gnd R Programm (DE-588)4705956-4 gnd Lineares Modell (DE-588)4134827-8 gnd Regressionsanalyse (DE-588)4129903-6 gnd |
| topic_facet | Varianzanalyse R Programm Lineares Modell Regressionsanalyse Einführung |
| work_keys_str_mv | AT farawayjulianjames linearmodelswithr |