Robyn Schneider's The Beginning of Everything is a witty and heart-wrenching teen novel that will appeal to fans of books by John Green and Ned Vizzini, novels such as The Perks of Being a Wallflower, and classics like The Great Gatsby and The Catcher in the Rye. Varsity tennis captain Ezra Faulkner was supposed to be homecoming king, but that was before--before his girlfriend cheated on him, before a car accident shattered his leg, and before he fell in love with unpredictable new girl Cassidy Thorpe. As Kirkus said in a starred review, Schneider takes familiar stereotypes and infuses them with plenty of depth. Here are teens who could easily trade barbs and double entendres with the characters that fill John Green's novels. Funny, smart, and including everything from flash mobs to blanket forts to a poodle who just might be the reincarnation of Jay Gatsby, The Beginning of Everything is a refreshing contemporary twist on the classic coming-of-age novel--a heart-wrenching sto...
Regression Modeling Strategies : With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis (9783319194240)
This highly anticipated second edition features new chapters and sections, 225 new references, and comprehensive R software. In keeping with the previous edition, this book is about the art and science of data analysis and predictive modelling, which entails choosing and using multiple tools. Instead of presenting isolated techniques, this text emphasises problem solving strategies that address the many issues arising when developing multi-variable models using real data and not standard textbook examples.
Regression Modelling Strategies presents full-scale case studies of non-trivial data-sets instead of over-simplified illustrations of each method. These case studies use freely available R functions that make the multiple imputation, model building, validation and interpretation tasks described in the book relatively easy to do. Most of the methods in this text apply to all regression models, but special emphasis is given to multiple regression using generalised least squares for longitudinal data, the binary logistic model, models for ordinal responses, parametric survival regression models and the Cox semi parametric survival model. A new emphasis is given to the robust analysis of continuous dependent variables using ordinal regression.
As in the first edition, this text is intended for Masters' or PhD. level graduate students who have had a general introductory probability and statistics course and who are well versed in ordinary multiple regression and intermediate algebra. The book will also serve as a reference for data analysts and statistical methodologists, as it contains an up-to-date survey and bibliography of modern statistical modelling techniques.
Product details
- Hardback | 582 pages
- 178 x 254 x 33.27mm | 1,265.52g
- 26 Aug 2015
- Springer International Publishing AG
- Cham, Switzerland
- English
- Revised
- 2nd ed. 2015
- 50 Tables, black and white; 53 Illustrations, color; 104 Illustrations, black and white; XXV, 582 p. 157 illus., 53 illus. in color.
- 3319194240
- 9783319194240
- 24,008
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