Naive vs. Sophisticated Methods of Forecasting Public Library Circulations.
Fuente:
ERIC Institute of Education Sciences
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| Autor principal: | |
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| Formato: | Recurso educativo Open Access |
| Lenguaje: | en |
| Publicado: |
1984
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1867181000725889024 |
|---|---|
| author | Brooks, Terrence A. |
| author_facet | Brooks, Terrence A. Brooks, Terrence A. |
| collection | Education Resources Information Center |
| contents | Naive vs. Sophisticated Methods of Forecasting Public Library Circulations. Brooks, Terrence A. Comparative Analysis Library Circulation Prediction Predictive Measurement Public Libraries Regression (Statistics) Research Methodology Tables (Data) Two sophisticated--autoregressive integrated moving average (ARIMA), straight-line regression--and two naive--simple average, monthly average--forecasting techniques were used to forecast monthly circulation totals of 34 public libraries. Comparisons of forecasts and actual totals revealed that ARIMA and monthly average methods had smallest mean absolute percentage error. (20 references) (EJS) |
| format | Recurso educativo Open Access |
| id | eric_EJ303182 |
| institution | ERIC Institute of Education Sciences |
| language | en |
| publishDate | 1984 |
| record_format | eric |
| spellingShingle | Naive vs. Sophisticated Methods of Forecasting Public Library Circulations. Brooks, Terrence A. Comparative Analysis Library Circulation Prediction Predictive Measurement Public Libraries Regression (Statistics) Research Methodology Tables (Data) Naive vs. Sophisticated Methods of Forecasting Public Library Circulations. Brooks, Terrence A. Comparative Analysis Library Circulation Prediction Predictive Measurement Public Libraries Regression (Statistics) Research Methodology Tables (Data) Two sophisticated--autoregressive integrated moving average (ARIMA), straight-line regression--and two naive--simple average, monthly average--forecasting techniques were used to forecast monthly circulation totals of 34 public libraries. Comparisons of forecasts and actual totals revealed that ARIMA and monthly average methods had smallest mean absolute percentage error. (20 references) (EJS) |
| title | Naive vs. Sophisticated Methods of Forecasting Public Library Circulations. |
| topic | Comparative Analysis Library Circulation Prediction Predictive Measurement Public Libraries Regression (Statistics) Research Methodology Tables (Data) |
| url | https://eric.ed.gov/?id=EJ303182 |