Birkes D., Dodge Y. Alternative Methods of Regression

2004, John Wiley & Sons, Inc; 558 pages. Regression models, in some form or another, are ubiquitous in social data analysis. Although classic linear regression assumes a continuous dependent variable, later incarnations of the technique allowed the response to take on a variety of more limited forms: binary, multinomial, truncated, censored, strictly integer, and others. Increasingly, regression texts are incorporating some limited-depende...

Wiley, 2007. - 392 с. Представлены теоретические, практические и расчетные аспекты нелинейной регрессии. В книге содежится материал по линейной регресии. Presents the theoretical, practical, and computational aspects of nonlinear regression. This book provides material on linear regression, including a geometrical development for linear and nonlinear least squares. Жанр: Вероятность и статистика Язык: Английский

2nd Edition. Wiley series in probability and statistics. Wiley & Sons, Ltd, 2006. - 598 pages. Contents: Introduction: The Bayesian Method, its Benefits and Implementation Bayesian Model Choice, Comparison and Checking The Major Densities and their Application Normal Linear Regression, General Linear Models and Log-Linear Models Hierarchical Priors for Pooling Strength and Overdispersed Regression Modelling Discrete Mixture Priors Multinomia...

Publisher: Springer | 2011 | ISBN10: 0857291173 | 230 pages Nonparametric statistics has probably become the leading methodology for researchers performing data analysis. It is nevertheless true that, whereas these methods have already proved highly effective in other applied areas of knowledge such as biostatistics or social sciences, nonparametric analyses in reliability currently form an interesting area of study that has not yet been fully ex...

Publisher: Cambridge University Press | 1992 | ISBN: 0521429501 | 434 pages This book concentrates on the statistical aspects of nonparametric regression smoothing from an applied point of view. The methods covered in this text can be used in biometry, econometrics, engineering and mathematics. The two central problems discussed are the choice of smoothing parameter and the construction of condence bands in practice. Various smoothing methods am...

Introduction to the Logistic Regression Model. Multiple Logistic Regression. Interpretation of the Fitted Logistic Regression Model. Model-Building Strategies and Methods for Logistic Regression. Assessing the Fit of the Model. Application of Logistic Regression with Different Sampling Models. Logistic Regression for Matched Case-Control Studies. Special Topics: The Multinomial Logistic Regression Model; Ordinal Logistic Regression Models; Logist...

This research monograph on circular data analysis covers some recent advances in the field, besides providing a brief introduction to, and a review of, existing methods and models. The primary focus is on recent research into topics such as change-point problems, predictive distributions, circular correlation and regression, etc. An important feature of this work is the S-plus subroutines provided for analyzing actual data sets. Coupled with the...

McGraw-Hill, 2004. - 1424 pages. This new edition of Applied Linear Statistical Models retains the book's uniquely straightforward writing style and format while providing you with the latest information and knowledge. Updates include developments and methods in partial regression and residual plots, an entirely new introduction to the "Design of Experiments" section that frames and outlines the organization and concepts of design and ANOVA, and...

Название: An Introduction to Statistical Methods and Data Analysis. Издательство: Brooks/Cole. Автор: R. Lyman Ott, Micheal T. Longnecker. Год: 2010. Количество страниц: 1296. Язык: English. Ott and Longnecker's AN INTRODUCTION TO STATISTICAL METHODS AND DATA ANALYSIS, Sixth Edition, provides a broad overview of statistical methods for readers who have little or no prior experience in statistics. The authors teach readers to solve problems encoun...

Publisher: Chapman and Hall/CRC | 2001 | ISBN10: 1584881453 | 462 pages This new edition follows the basic easy-to-digest pattern that was so well received by users of the earlier editions. The authors substantially update and expand Applied Nonparametric Statistical Methods to reflect changing attitudes towards applied statistics, new developments, and the impact of more widely available and better statistical software.The book takes into accoun...