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Univariate Tests for Time Series Models (Quantitative Applications in the Social Sciences)

Jeffrey B. Cromwell, Walter C. Labys, Michel Terraza




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 | #1262768 in Books |  SAGE Publications, Inc |  1993-12-14 | Original language:English | PDF # 1 |  8.50 x.24 x5.50l,.28 | File type: PDF | 104 pages

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||6 of 6 people found the following review helpful.| A handy guide for time series models|By Brian Knight|If you are looking for a text to teach you all of the how's and why's of model building, this is probably not a text for you.
However, if you have a decent background in statistics and have had some model-building experience, this book provides a concise guide to the tests one typically uses when building time series mod|About the Author||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 Uni

Taking a sequential approach to time-series model building, this easy-to-use and widely applicable 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. They also offer sound advice on how to perform the tests using different software packages.



You easily download any file type for your gadget.Univariate Tests for Time Series Models (Quantitative Applications in the Social Sciences)   |  Jeffrey B. Cromwell, Walter C. Labys, Michel Terraza. Just read it with an open mind because none of us really know.

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