Quantitative forecasting methods
著者
書誌事項
Quantitative forecasting methods
（The Duxbury series in statistics and decision sciences）
PWS-Kent Pub. Co., c1989
大学図書館所蔵 件 / 全11件
-
該当する所蔵館はありません
- すべての絞り込み条件を解除する
注記
Includes bibliographies and index
内容説明・目次
内容説明
This text is designed for practitioners and students of applied statistical forecasting. It is suitable for both the undergraduate or graduate business student. The text presents structured, detailed discussions of the concepts, and step-by-step procedures for using current forecasting methods. It is assumed that the reader has a knowledge of basic algebra and statistics. The text organizes the study of forecasting by using the classical trend, seasonal, and cycle approach to differentiate between the methods presented. Each chapter is organized with an overview, illustrations of concepts, decision factors in using the particular technique, model fitting and forecasting, and diagnostic testing. Several forecasting methods are covered such as exponential smoothing, leading indicator, business cycle, adaptive forecasting, time series application of regression analysis, and relevant government time series techniques.
目次
- Forecasting, An Introductory Discussion
- Forecasting Series with no Trend
- Forecasting Series with Trend
- Using Regression in Forecasting
- Forecasting Seasonal Series
- Forecasting Cyclical Series
- The Box-Jenkins Approach to Forecasting
- Monitoring Forecasts.
「Nielsen BookData」 より