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| Main Author: | |
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| Format: | Recurso educativo Open Access |
| Language: | en |
| Published: |
1984
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| Subjects: | |
| Online Access: | https://eric.ed.gov/?id=EJ312342 |
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Table of Contents:
- Using Time-Series Regression to Predict Academic Library Circulations. Brooks, Terrence A. Academic Libraries Analysis of Variance Higher Education Library Circulation Library Planning Library Surveys Prediction Predictive Measurement Predictor Variables Regression (Statistics) Research Methodology Four methods were used to forecast monthly circulation totals in 15 midwestern academic libraries: dummy time-series regression, lagged time-series regression, simple average (straight-line forecasting), monthly average (naive forecasting). In tests of forecasting accuracy, dummy regression method and monthly mean method exhibited smallest average error for 1 and 6 month forecasts. (EJS)