Growth Curve Models And Statistical Diagnostics
1.6 hrs read
Rate this book:
About This Book
"This book provides a comprehensive introduction to the theory of growth curve models with an emphasis on statistical diagnostics. A variety of issues relating to model development, estimation, inference, and diagnostics is addressed, and criteria for detecting outliers and influential observations are developed within likelihood and Bayesian frameworks.".
"This book is intended for postgraduates and statisticians whose research involves longitudinal modelling, multivariate analysis, and statistical diagnostics. Scientists engaged in analyzing longitudinal and repeated measures data will also find the book useful. The authors provide a sound theoretical development of growth curve models but also emphasize their application by providing worked examples in each chapter.
The book assumes a basic knowledge of matrix algebra and linear regression."--BOOK JACKET.
"This book is intended for postgraduates and statisticians whose research involves longitudinal modelling, multivariate analysis, and statistical diagnostics. Scientists engaged in analyzing longitudinal and repeated measures data will also find the book useful. The authors provide a sound theoretical development of growth curve models but also emphasize their application by providing worked examples in each chapter.
The book assumes a basic knowledge of matrix algebra and linear regression."--BOOK JACKET.
Buy This Book
As an Amazon Associate and Bookshop.org affiliate, BookOrb earns from qualifying purchases.
Write a Review
Sign in to write a review.