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William R. Dillon - Multivariate Analysis - 9780471083177 - V9780471083177
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Multivariate Analysis

€ 246.06
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Description for Multivariate Analysis Hardcover. Structural Sensitivity in Econometric Models Edwin Kuh, John W. Neese and Peter Hollinger Provides a pathbreaking assessment of the worth of linear dynamic systems methods for probing the behavior of complex macroeconomic models. Series: Wiley Series in Probability and Statistics. Num Pages: 608 pages, illustrations, bibliography, index. BIC Classification: PBT. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 243 x 167 x 38. Weight in Grams: 1022.
Structural Sensitivity in Econometric Models Edwin Kuh, John W. Neese and Peter Hollinger Provides a pathbreaking assessment of the worth of linear dynamic systems methods for probing the behavior of complex macroeconomic models. Representing a major improvement upon the standard "black box" approach to analyzing economic model structure, it introduces the powerful concept of parameter sensitivity analysis within a linear systems root/vector framework. The approach is illustrated with a good mediumsize econometric model (Michigan Quarterly Econometric Model of the United States). EISPACK, the Fortran code for computing characteristic roots and vectors has been upgraded and augmented by a model linearization ... Read more

Product Details

Format
Hardback
Publication date
1984
Publisher
John Wiley & Sons Inc United States
Number of pages
608
Condition
New
Series
Wiley Series in Probability and Statistics
Number of Pages
608
Place of Publication
New York, United States
ISBN
9780471083177
SKU
V9780471083177
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50

About William R. Dillon
About the authors William R. Dillon is Professor of Marketing at the University of Massachusetts. Dr. Dillon is the co-author of Discrete Discriminant Analysis and is on the editorial boards of the Journal of Business Research and Journal of Marketing Research. Dr. Dillon earned his PhD in marketing and quantitative methods at the City University of New York. Matthew Goldstein ... Read more

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