Advanced regression models with SAS and R. (2018)

• Record Type: Book
• Further Information: Note: Olga Korosteleva.
• Authors: Korosteleva, Olga
• Contents: 1 Introduction: General and Generalized Linear Regression Models Definition of General Linear Regression Model Definition of Generalized Linear Regression Model Parameter Estimation and Significance Test for Coefficients Fitted Model Interpretation of Estimated Regression Coefficients Model Goodness-of-Fit Check Predicted Response SAS Implementation R Implementation Example Exercises 2 Regression Models for Response with Right-skewed Distribution Box-Cox Power Transformation Model Definition Fitted Model Interpretation of Estimated Regression Coefficients Predicted Response SAS Implementation R Implementation Example Gamma Regression Model Model Definition Fitted Model Interpretation of Estimated Regression Coefficients Predicted Response SAS Implementation R Implementation Example Exercises 3 Regression Models for Binary Response Binary Logistic Regression Model Model Definition Fitted Model Interpretation of Estimated Regression Coefficients Predicted Probability SAS Implementation R Implementation Example Prohibit Model Model Definition Fitted Model Interpretation of Estimated Regression Coefficients Predicted Probability SAS Implementation R Implementation Example Complementary Log-Log Model Model Definition and Development Fitted Model Interpretation of Estimated Regression Coefficients Predicted Probability SAS Implementation R Implementation Example Exercises 4 Regression Models for Categorical Response Cumulative Logit Model Model Definition Fitted Model Interpretation of Estimated Regression Coefficients Predicted Probabilities SAS Implementation R Implementation Example Cumulative Prohibit Model Model Definition Fitted Model Interpretation of Estimated Regression Coefficients 2 Predicted Probabilities SAS Implementation R Implementation Example Cumulative Complementary Log-Log Model Model Definition Fitted Model Interpretation of Estimated Regression Coefficients Predicted Probabilities SAS Implementation R Implementation Example Generalized Logit Model for Nominal Response Model Definition Fitted Model Interpretation of Estimated Regression Coefficients Predicted Probabilities SAS Implementation R Implementation Example Exercises 5 Regression Models for Count Response Poisson Regression Model Model Definition Fitted Model Interpretation of Estimated Regression Coefficients Predicted Response SAS Implementation R Implementation Example Zero-truncated Poisson Regression Model Model Definition Fitted Model Interpretation of Estimated Regression Coefficients Predicted Response Implementation R Implementation Example Zero-inflated Poisson Regression Model Model Definition Fitted Model 3 Interpretation of Estimated Regression Coefficients Predicted Response SAS Implementation R Implementation Example Hurdle Poisson Regression Model Model Definition Fitted Model Interpretation of Estimated Regression Coefficients Predicted Response SAS Implementation R Implementation Example Exercises 6 Regression Models for Over-Dispersed Count Response Negative Binomial Regression Model Model Definition Fitted Model Interpretation of Estimated Regression Coefficients Predicted Response SAS Implementation R Implementation Example Zero-truncated Negative Binomial Regression Model Model Definition Fitted Model Interpretation of Estimated Regression Coefficients Predicted Response SAS Implementation R Implementation Example Zero-inflated Negative Binomial Regression Model Model Definition Fitted Model Interpretation of Estimated Regression Coefficients Predicted Response SAS Implementation R Implementation Example Hurdle Negative Binomial Regression Model Model Definition 4 Fitted Model Interpretation of Estimated Regression Coefficients Predicted Response SAS Implementation R Implementation Example Exercises 7 Regression Models for Proportion Response Beta Regression Model Model Definition Fitted Model Interpretation of Estimated Regression Coefficients Predicted Response SAS Implementation R Implementation Example Zero-inflated Beta Regression Model Model Definition Fitted Model Interpretation of Estimated Regression Coefficients Predicted Response SAS Implementation R Implementation Example One-inflated Beta Regression Model Model Definition Fitted Model Interpretation of Estimated Regression Coefficients Predicted Response SAS Implementation R Implementation Example Zero-one-inflated Beta Regression Model Model Definition Fitted Model Interpretation of Estimated Regression Coefficients Predicted Response SAS Implementation R Implementation Example Exercises 8 General Linear Regression Models for Repeated Measures Data Random Slope and Intercept Model Model Definition Fitted Model Interpretation of Estimated Regression Coefficients Model Goodness-of-Fit Check Predicted Response SAS Implementation R Implementation Example Mixed Model with Covariance Structure for Error Model Definition Coefficients, and Predicted Response Model Goodness-of-_t Check SAS Implementation R Implementation Example Generalized Estimating Equations Model Model Definition Fitted Model Model Goodness-of-Fit Check SAS Implementation R Implementation Example Exercises 9 Generalized Linear Regression Model for Repeated Measures Data Generalized Linear Mixed Model Models Definition Fitted Model, Interpretation, Prediction Model Goodness-of-Fit Check SAS Implementation R Implementation Example Generalized Estimating Equations Model Model Definition </P&
• Edition: 1st
• Publisher Details: Boca Raton : Chapman & Hall/CRC
• Publication Date: 2018
• Extent: 1 online resource
• Subjects: 519.536; Regression analysis; R (Computer program language)
• Languages: English
• ISBNs: 9781351690072; 9781351690089; 9781351690065; 9781315169828
• Related ISBNs: 9781138049017
• 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).
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