Praise for the First Edition". . . a readable, comprehensive volume that . . . belongs on the desk, close at hand, of any serious researcher or practitioner." —Mathematical GeosciencesThe state of the
Enders continues to provide business professionals with an accessible introduction to time-series analysis. He clearly shows them how to develop models capable of forecasting, interpreting, and testin
A thoroughly updated and revised look at system reliability theory Since the first edition of this popular text was published nearly a decade ago, new standards have changed the focus of reliability
Third Edition brings the text up to date with new material and updated references.New content includes an introduction to left and interval censored data; the log-logistic distribution; estimation pro
This Fourth Edition includes new sections on graphs, robust estimation, expected value and the bootstrap, in addition to new material on the use of computers. The regression model is well covered, inc
This new edition represents the most up-to-date treatment of nonlinear regression topics and applications available using the academically-preferred R language throughout. It offers a balanced present
This book examines multiple classes of random processes from the standpoints of statistical analysis, inference, and modeling. It describes several traditional models (fGn, fBm, mBm, ARFIMA, multiplic
A reference guide for applications of SEM using MplusStructural Equation Modeling: Applications Using Mplus is intended as both a teaching resource and a reference guide. Written in non-mathematical terms, this book focuses on the conceptual and practical aspects of Structural Equation Modeling (SEM). Basic concepts and examples of various SEM models are demonstrated along with recently developed advanced methods, such as mixture modeling and model-based power analysis and sample size estimate for SEM. The statistical modeling program, Mplus, is also featured and provides researchers with a flexible tool to analyze their data with an easy-to-use interface and graphical displays of data and analysis results.Key features:Presents a useful reference guide for applications of SEM whilst systematically demonstrating various advanced SEM models, such as multi-group and mixture models using Mplus.Discusses and demonstrates various SEM models using both cross-sectional and longitudinal data
The Dirichlet distribution appears in many areas of application, which include modelling of compositional data, Bayesian analysis, statistical genetics, and nonparametric inference. This book provides
A new edition of this popular text on robust statistics, thoroughly updated to include new and improved methods and focus on implementation of methodology using the increasingly popular open-source so
First issued in translation as a two-volume work in 1975, this classic book provides the first complete development of the theory of probability from a subjectivist viewpoint. It proceeds from a detai
A state of the art volume on statistical causalityCausality: Statistical Perspectives and Applications presents a wide-ranging collection of seminal contributions by renowned experts in the field, pro
Emphasizing applications in industry, Statistical Intervals: A Guide for Practitioners provides a detailed, modernized, and complete treatment on the subject. The recognized authority on the topic, th
Since the publication of the first edition, the authors have solicited feedback from both the instructors who use the book as a text for their courses as well as the researchers who use the book as a
