Mit Hilfe der Regressionsanalyse versucht man, einen Zusammenhang zwischen einer Systemantwort und einer oder mehreren bestimmenden Variablen zu finden. In den letzten Jahren wurden einige neue Regressionsverfahren entwickelt, die dieses Buch behandelt und - mit der graphischen Analyse als übergeordnetem Aspekt - vergleicht. (10/99)
Mit Hilfe der Regressionsanalyse versucht man, einen Zusammenhang zwischen einer Systemantwort und einer oder mehreren bestimmenden Variablen zu finden. In den letzten Jahren wurden einige neue Regressionsverfahren entwickelt, die dieses Buch behandelt und - mit der graphischen Analyse als übergeordnetem Aspekt - vergleicht. (10/99)Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Amy Coook became a registered dietitian nutritionist in 2005. She specialized in the Ketogenic and Intermittent Fasting diet and helped thousands of clients to improve their health conditions by adjusting their dietary habits. "My goal is to help transform people's lives and start living again!", this is her motto since she struggled with her health and weight throughout childhood, which lead her to become such a passionate nutrition expert. She loves her job and spends most of her time helping customers through Skype and telephone consultation with stunning results. She specializes in diabetes (Type 1 and Type 2), heart disease, cholesterol issues, alopecia, Hashimoto's, cancer, epilepsy, seizures, autoimmune disorders. A lot of people get off medication with her guidance. She has helped thousands of clients over the last 15 years. She loves cooking and is passionate about the ketogenic and Intermittent fasting diet and the health benefits of a low-carb lifestyle. She is also the mother of 2 and lives in Boston with her husband.
Inhaltsangabe
Looking Forward and Back. Introduction to Regression. Introduction to Smoothing. Bivariate Distributions. Two-Dimensional Plots. TOOLS. Simple Linear Regression. Introduction to Multiple Linear Regression. Three-Dimensional Plots. Weights and Lack-of-Fit. Understanding Coefficients. Relating Mean Functions. Factors and Interactions. Response Transformations. Diagnostics I: Curvature and Nonconstant Variance. Diagnostics II: Influence and Outliers. Predictor Transformations. Model Assessment. REGRESSION GRAPHICS. Visualizing Regression. Visualizing Regression with Many Predictors. Graphical Regression. LOGISTIC REGRESSION AND GENERALIZED LINEAR MODELS. Binomial Regression. Graphical and Diagnostic Methods for Logistic Regression. Generalized Linear Models. Appendix. References. Indexes.
Looking Forward and Back.
Introduction to Regression.
Introduction to Smoothing.
Bivariate Distributions.
Two-Dimensional Plots.
TOOLS.
Simple Linear Regression.
Introduction to Multiple Linear Regression.
Three-Dimensional Plots.
Weights and Lack-of-Fit.
Understanding Coefficients.
Relating Mean Functions.
Factors and Interactions.
Response Transformations.
Diagnostics I: Curvature and Nonconstant Variance.
Diagnostics II: Influence and Outliers.
Predictor Transformations.
Model Assessment.
REGRESSION GRAPHICS.
Visualizing Regression.
Visualizing Regression with Many Predictors.
Graphical Regression.
LOGISTIC REGRESSION AND GENERALIZED LINEAR MODELS.
Binomial Regression.
Graphical and Diagnostic Methods for Logistic Regression.
Looking Forward and Back. Introduction to Regression. Introduction to Smoothing. Bivariate Distributions. Two-Dimensional Plots. TOOLS. Simple Linear Regression. Introduction to Multiple Linear Regression. Three-Dimensional Plots. Weights and Lack-of-Fit. Understanding Coefficients. Relating Mean Functions. Factors and Interactions. Response Transformations. Diagnostics I: Curvature and Nonconstant Variance. Diagnostics II: Influence and Outliers. Predictor Transformations. Model Assessment. REGRESSION GRAPHICS. Visualizing Regression. Visualizing Regression with Many Predictors. Graphical Regression. LOGISTIC REGRESSION AND GENERALIZED LINEAR MODELS. Binomial Regression. Graphical and Diagnostic Methods for Logistic Regression. Generalized Linear Models. Appendix. References. Indexes.
Looking Forward and Back.
Introduction to Regression.
Introduction to Smoothing.
Bivariate Distributions.
Two-Dimensional Plots.
TOOLS.
Simple Linear Regression.
Introduction to Multiple Linear Regression.
Three-Dimensional Plots.
Weights and Lack-of-Fit.
Understanding Coefficients.
Relating Mean Functions.
Factors and Interactions.
Response Transformations.
Diagnostics I: Curvature and Nonconstant Variance.
Diagnostics II: Influence and Outliers.
Predictor Transformations.
Model Assessment.
REGRESSION GRAPHICS.
Visualizing Regression.
Visualizing Regression with Many Predictors.
Graphical Regression.
LOGISTIC REGRESSION AND GENERALIZED LINEAR MODELS.
Binomial Regression.
Graphical and Diagnostic Methods for Logistic Regression.
Generalized Linear Models.
Appendix.
References.
Indexes.
Rezensionen
"...a must for everyone working in the area of regression analysis. I strongly recommend it as a text..." (Journal of the American Statistical Association, September 2001)
"...with its up-to-date discussion of regression graphics at a very accessible level, Applied Regression Including Computing and Graphics is a must for everyone working in the area of regression analysis. I strongly recommend it as a text..." (Journal of the American Statistical Association, September 2001) "...a must for everyone working in the area of regression analysis. I strongly recommend it as a text..." (Journal of the American Statistical Association, September 2001)
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