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Author by: Robert Andersen Language: en Publisher by: SAGE Format Available: PDF, ePub, Mobi Total Read: 83 Total Download: 874 File Size: 40,6 Mb Description: Geared towards both future and practising social scientists, this book takes an applied approach and offers readers empirical examples to illustrate key concepts. It includes: applied coverage of a topic that has traditionally been discussed from a theoretical standpoint; empirical examples to illustrate key concepts; a web appendix that provides readers with the data and the R-code for the examples used in the book. Author by: Peter J. Rousseeuw Language: en Publisher by: John Wiley & Sons Format Available: PDF, ePub, Mobi Total Read: 26 Total Download: 765 File Size: 43,7 Mb Description: WILEY-INTERSCIENCE PAPERBACK SERIES The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists.

'The writing style is clear and informal, and much of the discussion is oriented to application. In short, the book is a keeper.' –Mathematical Geology 'I would highly recommend the addition of this book to the libraries of both students and professionals. It is a useful textbook for the graduate student, because it emphasizes both the philosophy and practice of robustness in regression settings, and it provides excellent examples of precise, logical proofs of theorems.... Download Sdl Trados 2007 Suite Professional Plastics more. Even for those who are familiar with robustness, the book will be a good reference because it consolidates the research in high-breakdown affine equivariant estimators and includes an extensive bibliography in robust regression, outlier diagnostics, and related methods. The aim of this book, the authors tell us, is ‘to make robust regression available for everyday statistical practice.’ Rousseeuw and Leroy have included all of the necessary ingredients to make this happen.' –Journal of the American Statistical Association.

Author by: Valentim R. Alferes Language: en Publisher by: SAGE Format Available: PDF, ePub, Mobi Total Read: 64 Total Download: 767 File Size: 48,5 Mb Description: This book provides a conceptual systematization and a practical tool for the randomization of between-subjects and within-subjects experimental designs in social, behavioural, and health sciences.

The author adopts a pedagogical strategy that allows the reader to implement all randomization methods by relying on the materials given in the appendices and using the common features included in any word processor software. In the companion website (www.fpce.uc.pt/niips/randmethods), along with other supplementary materials, the reader can freely download IBM SPSS and R versions of SCRAED, a package that performs simple and complex random assignment in experimental design, including the 18 randomization methods presented in Chapters 2 and 3. Author by: Iain Pardoe Language: en Publisher by: John Wiley & Sons Format Available: PDF, ePub, Mobi Total Read: 88 Total Download: 409 File Size: 45,8 Mb Description: Praise for the First Edition 'The attention to detail is impressive. The book is very well written and the author is extremely careful with his descriptions...

The examples are wonderful.' —The American Statistician Fully revised to reflect the latest methodologies and emerging applications, Applied Regression Modeling, Second Edition continues to highlight the benefits of statistical methods, specifically regression analysis and modeling, for understanding, analyzing, and interpreting multivariate data in business, science, and social science applications. The author utilizes a bounty of real-life examples, case studies, illustrations, and graphics to introduce readers to the world of regression analysis using various software packages, including R, SPSS, Minitab, SAS, JMP, and S-PLUS. In a clear and careful writing style, the book introduces modeling extensions that illustrate more advanced regression techniques, including logistic regression, Poisson regression, discrete choice models, multilevel models, and Bayesian modeling. In addition, the Second Edition features clarification and expansion of challenging topics, such as: Transformations, indicator variables, and interaction Testing model assumptions Nonconstant variance Autocorrelation Variable selection methods Model building and graphical interpretation Throughout the book, datasets and examples have been updated and additional problems are included at the end of each chapter, allowing readers to test their comprehension of the presented material. In addition, a related website features the book's datasets, presentation slides, detailed statistical software instructions, and learning resources including additional problems and instructional videos. With an intuitive approach that is not heavy on mathematical detail, Applied Regression Modeling, Second Edition is an excellent book for courses on statistical regression analysis at the upper-undergraduate and graduate level.