HANDBOOK OF STATISTICAL MODELING FOR THE SOCIAL AND BEHAVIORAL SCIENCE ARMINGER G. Księgarnia

This is a collection of chapters on modern statistical techniques written by leading experts in the field. The emphasis is on applied techniques geared toward the nonexperimental data that are common in the social and health sciences. Important topics covered in this collection include missing data, longitudinal data, causal inference, structural equations models, contingency table analysis, latent variable models, random-effects models, and event history analysis. The purpose is to present and review many of the most current statistical models and methods for the social, behavioral, and health sciences. Researchers in these fields often face a number of common problems inherent in the analysis of nonexperimental data, and this book is meant to describe ways of handling these problems. This is an important and timely presentation of many areas of active research in applied statistics that will be of interest to a wide class of applied statisticians and researchers. The book is targeted for quantitative methodologists, applied statisticians, empirical researchers, and graduate students in the social, behavioral, and health sciences. Because the book presents state-of-the-art techniques, it is written at a fairly high statistical level and so will be of use primarily to the targeted audience. Graduate students in pursuit of a dissertation topic would be well advised to read some of the chapters in this collection to see what is currently available and other areas where more work is necessary. The book includes some figures and many equations, and the equations, which were typeset using LATEX, are very clear and readable. The reference lists for each chapter are comprehensive, and the indexis complete. This is an extremely useful book primarily for applied statisticians and quantitative methodologists. It brings together many important areas of recent statistical development and does so in a thorough and comprehensive manner. The chapters are written by an impressive collection of leading statistical experts. The reader can learn a wealth of material concerning recent statistical advances and methodology all in this one book.

Reviewer: Donald Hedeker, PhD (University of Illinois at Chicago)
Description: This is a collection of chapters on modern statistical techniques written by leading experts in the field. The emphasis is on applied techniques geared toward the nonexperimental data that are common in the social and health sciences. Important topics covered in this collection include missing data, longitudinal data, causal inference, structural equations models, contingency table analysis, latent variable models, random-effects models, and event history analysis.
Purpose: The purpose is to present and review many of the most current statistical models and methods for the social, behavioral, and health sciences. Researchers in these fields often face a number of common problems inherent in the analysis of nonexperimental data, and this book is meant to describe ways of handling these problems. This is an important and timely presentation of many areas of active research in applied statistics that will be of interest to a wide class of applied statisticians and researchers.
Audience: The book is targeted for quantitative methodologists, applied statisticians, empirical researchers, and graduate students in the social, behavioral, and health sciences. Because the book presents state-of-the-art techniques, it is written at a fairly high statistical level and so will be of use primarily to the targeted audience. Graduate students in pursuit of a dissertation topic would be well advised to read some of the chapters in this collection to see what is currently available and other areas where more work is necessary.
Features: The book includes some figures and many equations, and the equations, which were typeset using LATEX, are very clear and readable. The reference lists for each chapter are comprehensive, and the index is complete.
Assessment: This is an extremely useful book primarily for applied statisticians and quantitative methodologists. It brings together many important areas of recent statistical development and does so in a thorough and comprehensive manner. The chapters are written by an impressive collection of leading statistical experts. The reader can learn a wealth of material concerning recent statistical advances and methodology all in this one book.

592pages Hardcover

Po otrzymaniu zamówienia poinformujemy,
czy wybrany tytuł polskojęzyczny lub anglojęzyczny jest aktualnie na półce księgarni.