
Modern Regression Methods, Set by Thomas P Ryan
This set contains ISBN 978-0-470-08186-0 Modern Regression Methods, 2nd Edition and the Solutions Manual 978-0-470-09606-2.
Modern Regression Methods, Second Edition maintains the accessible organization, breadth of coverage, and cutting-edge appeal that earned its predecessor the title of being one of the top five books for statisticians by an Amstat News book editor in 2003. This new edition has been updated and enhanced to include all-new information on the latest advances and research in the evolving field of regression analysis.
The book provides a unique treatment of fundamental regression methods, such as diagnostics, transformations, robust regression, and ridge regression. Unifying key concepts and procedures, this new edition emphasizes applications to provide a more hands-on and comprehensive understanding of regression diagnostics. New features of the Second Edition include:
- A revised chapter on logistic regression, including improved methods of parameter estimation
- A new chapter focusing on additional topics of study in regression, including quantile regression, semiparametric regression, and Poisson regression
- A wealth of new and updated exercises with worked solutions
- An extensive FTP site complete with Minitab macros, which allow the reader to compute analyses, and specialized procedures
- Updated references at the end of each chapter that direct the reader to the appropriate resources for further study
An accessible guide to state-of-the-art regression techniques, Modern Regression Methods, Second Edition is an excellent book for courses in regression analysis at the upper-undergraduate and graduate levels. It is also a valuable reference for practicing statisticians, engineers, and physical scientists.
-
Introductory Statistics for Business and Economics
-
Applied Longitudinal Analysis
-
Applied Econometric Times Series
-
Sample Size Determination and Power
-
Statistical Methods for Survival Data Analysis
-
Bayesian Analysis for the Social Sciences
-
An Elementary Introduction to Statistical Learning Theory
-
The Statistical Analysis of Failure Time Data
-
Regression Models for Time Series Analysis
-
Statistical Rules of Thumb
-
Bayesian Theory
-
Graphical Models in Applied Multivariate Statistics
-
Loss Models
-
Introduction to Linear Regression Analysis
-
Aspects of Multivariate Statistical Theory
-
Fundamentals of Queueing Theory
-
Statistics of Extremes
-
Applied Econometric Time Series
-
Structural Equations with Latent Variables
-
Applied Linear Regression
-
Directional Statistics
-
An Introduction to Probability Theory and Its Applications, Volume 2
-
System Reliability Theory
-
An Introduction to Categorical Data Analysis
-
Markov Decision Processes
-
Applied Logistic Regression
| SKU | Unavailable |
| ISBN 13 | 9780470550441 |
| ISBN 10 | 0470550449 |
| Title | Modern Regression Methods, Set |
| Author | Thomas P Ryan |
| Series | Wiley Series In Probability And Statistics |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Wiley |
| Year published | 2009-06-05 |
| Number of pages | 770 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |

























