Review "...a highly satisfactory text on methods for categorical response variables...more complete and technical [than the First Edition]..." -- IIE Transactions on Quality and Reliability Engineering "...this classic book is substantially modified and expanded..." -- International Journal of General Systems, Vol. 32, 2003 "...written in a highly scientific but vivid style, in...(展开全部)

Praise for the First Edition "This is a superb text from which to teach categorical data analysis, at a variety of levels. . . [t]his book can be very highly recommended." — Short Book Reviews "Of great interest to potential readers is the variety of fields that are represented in the examples: health care, financial, government, product marketing, and sports, to name a few."...(展开全部)

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 testing hypotheses concerning economic data using the latest techniques. The third edition includes new discussions on parameter instability and structural breaks as well as out-of-sampl...(展开全部)

Praise for the Second Edition: "A must-have book for anyone expecting to do research and/or applications in categorical data analysis". ("Statistics in Medicine"). "It is a total delight reading this book". ("Pharmaceutical Research"). "If you do any analysis of categorical data, this is an essential desktop reference". ("Technometrics"). The use of statistical methods for anal...(展开全部)

This is the first text in a generation to re-examine the purpose of the mathematical statistics course. The book's approach interweaves traditional topics with data analysis and reflects the use of the computer with close ties to the practice of statistics. The author stresses analysis of data, examines real problems with real data, and motivates the theory. The book's descript...(展开全部)

This is the first text in a generation to re-examine the purpose of the mathematical statistics course. The book's approach interweaves traditional topics with data analysis and reflects the use of the computer with close ties to the practice of statistics. The author stresses analysis of data, examines real problems with real data, and motivates the theory. The book's desc...(展开全部)

The revision of this well-respected text presents a balanced approach of the classical and Bayesian methods and now includes a chapter on simulation (including Markov chain Monte Carlo and the Bootstrap), coverage of residual analysis in linear models, and many examples using real data. Calculus is assumed as a prerequisite, and a familiarity with the concepts and elementary pr...(展开全部)

Financial engineers have access to enormous quantities of data but need powerful methods for extracting quantitative information, particularly about volatility and risks. Key features of this textbook are: illustration of concepts with financial markets and economic data, R Labs with real-data exercises, and integration of graphical and analytic methods for modeling and diagnos...(展开全部)