BUSINESS FORECASTING HANKE J. REITSCH A. Księgarnia

John E. Hanke , Eastern Washington University
Arthur G. Reitsch , Eastern Washington University

Published August 1997 by Prentice Hall Business Publishing

Copyright 1998, 581 pp. Cloth ISBN 0-13-760745-8

This top-selling text presents, in a straightforward, application-driven manner, the basic statistical techniques that are useful for preparing individual business forecasts and long-range plans. The emphasis is on the application of techniques by managers for decision-making.

Includes a unique chapter covering econometric topics, making this very difficult subject understandable for the average undergraduate business student.
Presents solved and unsolved cases that relate various techniques to real-world applications.
Reviews statistical concepts prior to introducing more difficult material that requires an understanding of those concepts.
Explains the topics of autocorrelation analysis and the use of Box-Jenkins techniques, illustrated with excellent examples.
Covers judgmental forecasting techniques and introduces material on neural networks to reflect and reinforce the importance of judgmental techniques in forecasting.
Emphasizes the importance of selecting the correct forecasting technique and the means by which the data derived should best be analyzed.
Includes several new real-world data sets in Appendix E.
1. Introduction to Forecasting.
2. A Review of Basic Statistical Concepts.
3. Data Sources.
4. Exploring Data Patterns and Choosing a Forecasting Technique.
5. Moving Averages and Smoothing Methods.
6. Regression Analysis.
7. Multiple Regression.
8. Time Series Analysis.
9. Regression of Time Series Data.
10. The Box-Jenkins (ARIMA) Methodology.
11. Judgmental Elements in Forecasting.
Appendix A. Derivations.
Appendix B. Data for Case Study 7.1.
Appendix C. Tables.
Appendix D. Data Sets and Database.
Index.

Po otrzymaniu zamówienia poinformujemy,
czy wybrany tytuł polskojęzyczny lub anglojęzyczny jest aktualnie na półce księgarni.