Title
Multivariate Analysis: Methods and Applications,New
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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 code and a broader algorithmic framework. Also features an interface between the algorithmic code and the interactive modeling system (TROLL), making an unusually wide range of linear systems methods accessible to economists, operations researchers, engineers and physical scientists. 1985 (0471819301) 324 pp. Linear Statistical Models and Related Methods With Applications to Social Research John Fox A comprehensive, modern treatment of linear models and their variants and extensions, combining statistical theory with applied data analysis. Considers important methodological principles underlying statistical methods. Designed for researchers and students who wish to apply these models to their own work in a flexible manner. 1984 (0 471099139) 496 pp. Statistical Methods for Forecasting Bovas Abraham and Johannes Ledolter This practical, useroriented book treats the statistical methods and models used to produce shortterm forecasts. Provides an intermediate level discussion of a variety of statistical forecasting methods and models and explains their interconnections, linking theory and practice. Includes numerous timeseries, autocorrelations, and partial autocorrelation plots. 1983 (0 471867640) 445 pp.
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We provide a 2-year limited warranty, from the date of purchase for all our products.
If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
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Frequently Asked Questions
- Q: What is the main focus of 'Multivariate Analysis: Methods and Applications'? A: The book primarily focuses on assessing the worth of linear dynamic systems methods for analyzing complex macroeconomic models using parameter sensitivity analysis.
- Q: Who are the authors of this book? A: The book is authored by Edwin Kuh, John W. Neese, and Peter Hollinger.
- Q: What is the publication date of this book? A: The book was published on August 22, 1984.
- Q: What topics are covered in the book? A: It covers structural sensitivity in econometric models, linear statistical models, and various statistical methods for forecasting.
- Q: Is this book suitable for beginners? A: While the book provides comprehensive coverage of advanced topics, it may be more suitable for those with a foundational understanding of econometrics and statistics.
- Q: What is the binding type of the book? A: The book is available in hardcover binding.
- Q: How many pages does the book have? A: The book contains a total of 608 pages.
- Q: What is the condition of the book? A: The book is listed as new.
- Q: Can this book help with applied data analysis? A: Yes, the book combines statistical theory with applied data analysis, making it useful for researchers and students.
- Q: Does the book include any software or tools? A: Yes, it features EISPACK, a Fortran code for computing characteristic roots and vectors, along with an interface to the TROLL modeling system.