Principles of Business Forecasting, International Edition - Tapa blanda

1. Forecasting, the Why and How. 2. Basic Tools for Forecasting. 3. Forecasting Trends: Exponential Smoothing. 4. Seasonal Series: Forecasting and Decomposition. 5. State-Space Models for Time Series. 6. Autoregressive Integrated Moving Average (ARIMA) Models. 7. Simple Linear Regression for Forecasting. 8. Multiple Regression for Time Series. 9. Model Building. 10. Advanced Methods of Forecasting. 11. Judgment-Based Forecasts. 12. Putting Forecasting Methods to Work. 13. Forecasting in Practice. Appendix A: Basic Statistical Concepts (online only). Appendix B: Glossary (online only). Appendix C: Forecasting Software (online only). Index.

Ord/Fildes PRINCIPLES OF BUSINESS FORECASTING, 1E, International Edition is designed for both students and current practitioners in a variety of fields. The authors' motivation for writing this book is to give users the tools and insight to make the most effective forecasts. Ord/Fildes PRINCIPLES OF BUSINESS FORECASTING, 1E, International Edition is designed for users who have taken a first course in applied statistics or have an equivalent background and provides an introduction to both standard and advanced forecasting approaches. This new, first edition text presents general principles that are the basis of forecasting practice. The information and data used are from actual government and business sources wherever possible. Forecasting techniques are shown in a variety of software platforms and the chapter organization provides an overview of forecasting in a variety of situations using time series and cross-sectional data. The focus then shifts to using extrapolative methods in forecasting, followed by statistical model-building. Finally, the authors cover more advanced techniques in the latter chapters, including the selection of the best forecasting method based on available data and the construction of a forecasting system with an organization.