Linear models and regression with R : an integrated approach
Material type:
TextSeries: Series on multivariate analysisPublication details: Singapore World Scientific 2020Description: 750 pISBN: 9789811200403Subject(s): Linear models (Statistics) | Regression analysis | Linear models (Statistics) | R (Computer program language)DDC classification: 519.5360285513 Summary: "Complete coverage of topics for a course on regression including data sets and implementation in R. Special topics covered include collinearity, misspecified models, Kalman filter, multivariate response, foundations of linear inference Comprehensive theory with latest literature and references and thorough treatment of the singular linear model"--
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Stack | Stack | 519.5360285513 DEB/L (Browse shelf (Opens below)) | Available | 59433 |
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| 519.536 OGO/A Adaptive tests of significance using permutations of residuals with R and SAS / | 519.536 PAR/A Applied regression modeling | 519.536 SCH/U Understanding regression analysis : | 519.5360285513 DEB/L Linear models and regression with R : an integrated approach | 519.538 FAR/L Linear models with R | 519.54 CHE/I Introduction to bootstrap methods with applications to R | 519.54 RAD/L Linear Statistical Inference and its applications / |
"This book is an expanded, updated, and reorganized version of 'Linear Models: An Integrated Approach', published sixteen years ago."
"Complete coverage of topics for a course on regression including data sets and implementation in R. Special topics covered include collinearity, misspecified models, Kalman filter, multivariate response, foundations of linear inference Comprehensive theory with latest literature and references and thorough treatment of the singular linear model"--
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