Linear models with R. (2014)
- Record Type:
- Book
- Title:
- Linear models with R. (2014)
- Main Title:
- Linear models with R
- Further Information:
- Note: Julian J. Faraway.
- Authors:
- Faraway, Julian James
- Contents:
- Introduction; Before You Start; Initial Data Analysis; When to Use Linear Modeling; History Estimation; Linear Model; Matrix Representation; Estimating b; Least Squares Estimation; Examples of Calculating ˆb; Example; QR Decomposition; Gauss–Markov Theorem; Goodness of Fit; Identifiability; Orthogonality Inference; Hypothesis Tests to Compare Models; Testing Examples; Permutation Tests; Sampling; Confidence Intervals for b; Bootstrap Confidence Intervals Prediction; Confidence Intervals for Predictions; Predicting Body Fat; Autoregression; What Can Go Wrong with Predictions? Explanation; Simple Meaning; Causality; Designed Experiments; Observational Data; Matching; Covariate Adjustment; Qualitative Support for Causation Diagnostics; Checking Error Assumptions; Finding Unusual Observations Checking the Structure of the Model; Discussion Problems with the Predictors; Errors in the Predictors; Changes of Scale; Collinearity Problems with the Error; Generalized Least Squares; Weighted Least Squares; Testing for Lack of Fit; Robust Regression Transformation; Transforming the Response; Transforming the Predictors; Broken Stick Regression; Polynomials; Splines; Additive Models; More Complex Models Model Selection; Hierarchical Models; Testing-Based Procedures; Criterion-Based Procedures; Summary Shrinkage Methods; Principal Components; Partial Least Squares; Ridge Regression; Lasso Insurance Redlining—A Complete Example; Ecological Correlation; Initial Data Analysis; Full Model andIntroduction; Before You Start; Initial Data Analysis; When to Use Linear Modeling; History Estimation; Linear Model; Matrix Representation; Estimating b; Least Squares Estimation; Examples of Calculating ˆb; Example; QR Decomposition; Gauss–Markov Theorem; Goodness of Fit; Identifiability; Orthogonality Inference; Hypothesis Tests to Compare Models; Testing Examples; Permutation Tests; Sampling; Confidence Intervals for b; Bootstrap Confidence Intervals Prediction; Confidence Intervals for Predictions; Predicting Body Fat; Autoregression; What Can Go Wrong with Predictions? Explanation; Simple Meaning; Causality; Designed Experiments; Observational Data; Matching; Covariate Adjustment; Qualitative Support for Causation Diagnostics; Checking Error Assumptions; Finding Unusual Observations Checking the Structure of the Model; Discussion Problems with the Predictors; Errors in the Predictors; Changes of Scale; Collinearity Problems with the Error; Generalized Least Squares; Weighted Least Squares; Testing for Lack of Fit; Robust Regression Transformation; Transforming the Response; Transforming the Predictors; Broken Stick Regression; Polynomials; Splines; Additive Models; More Complex Models Model Selection; Hierarchical Models; Testing-Based Procedures; Criterion-Based Procedures; Summary Shrinkage Methods; Principal Components; Partial Least Squares; Ridge Regression; Lasso Insurance Redlining—A Complete Example; Ecological Correlation; Initial Data Analysis; Full Model and Diagnostics; Sensitivity Analysis; Discussion Missing Data; Types of Missing Data ; Deletion; Single Imputation; Multiple Imputation Categorical Predictors; A Two-Level Factor; Factors and Quantitative Predictors; Interpretation with Interaction Terms; Factors with More than Two Levels; Alternative Codings of Qualitative Predictors One Factor Models; The Model; An Example; Diagnostics; Pairwise Comparisons; False Discovery Rate Models with Several Factors; Two Factors with No Replication; Two Factors with Replication; Two Factors with an Interaction; Larger Factorial Experiments Experiments with Blocks; Randomized Block Design; Latin Squares; Balanced Incomplete Block Design Appendix: About R Bibliography Index … (more)
- Edition:
- 2nd edition
- Publisher Details:
- Boca Raton : Chapman & Hall/CRC
- Publication Date:
- 2014
- Extent:
- 1 online resource, illustrations
- Subjects:
- 519.5
R (Computer program language)
Linear models (Statistics)
Linear models (Statistics) -- Data processing - Languages:
- English
- ISBNs:
- 9781439887349
- Notes:
- Note: Description based on CIP data; resource not viewed.
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.143876
- Ingest File:
- 02_051.xml