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Bibliografische Details

Titel: Univariate Tests for Time Series Models

Verlag: SAGE Publications, Incorporated

Erscheinungsdatum: 1993

Einband: Softcover

Zustand: Good

Auflage: 1st Edition.

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Inhaltsangabe:

Taking a sequential approach to time-series model building, this book explores how to test for stationarity, normality, independence, linearity, model order, and properties of the residual process. The authors clearly define each testing procedure and offer examples to illustrate each concept. The authors also provide advice on how to perform the tests using different software packages. "This provides a nice roadmap for those doing time series analysis, and the authors should be applauded for this... Their approach is straightforward and logical and I believe will be useful many practicing statisticians." --Technometrics

�ber die Autorinnen und Autoren:

Dr. Jeff B. Cromwell is a graduate of West Virginia University with research interests in computational statistics, econometrics and time series analysis.

Michel Terraza is a science Professor of economics at Montpellier I University. He applied this decomposed measure when studying the wages inequalities in the Languedoc-Roussillon region (see the bibliography). He did it in collaboration with Fran�oise Seyte (Associate Professor) and St�phane Mussard (Assistant Professor).

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