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Home > Mathematics and Statistics > Statistics > Linear Mixed Models and Regression
Methods for Business Analysis and Forecasting: Text and Cases
Methods for Business Analysis and Forecasting: Text and Cases
Peter Tryfos, York Univ.
ISBN: 978-0-471-12384-2
©1998
592 pages
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Description  |  Table of Contents  |  Detailed Contents  |  Hallmark Features  |  Supplements
Table of Contents
Part I: Text
  1. Introduction
  2. Regression
  3. Inference in Regression
  4. Attributes as Explanatory Variables
  5. Non-Linear Relationships
  6. Regression and Time Series
  7. Lagged Variables
  8. Regression Miscellanea
  9. More on Inference in Regression
  10. Autoregressive Models
  11. The Classification Problem
  12. More on Classification
  13. Models of Systems
Part II: Cases
  1. The Equal Billing Plan
  2. Corporate compensation and discrimination
  3. The ABC Manufacturing Company
  4. Used car prices
  5. The City of West York
  6. The Energuide program
  7. Carlsen's Brewery
  8. Automobile insurance
  9. Population projections
  10. Electric power consumption
  11. The Emergency Department
  12. Northern Hydro
  13. ACCS Inc.
  14. The Great Wall Bank
  15. Johnson & Phillips
  16. Norgas Distributing Company
Part III: Appendices
  1. Statistical Essentials
  2. Mathematical Notes
Index  

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