Download PDF by Yasar A., PhD Ozcan: Quantit Methods in Health Care Management: Techniques and

By Yasar A., PhD Ozcan

ISBN-10: 0787971642

ISBN-13: 9780787971649

ISBN-10: 0787981346

ISBN-13: 9780787981341

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Extra info for Quantit Methods in Health Care Management: Techniques and Applications (J-B Public Health Health Services Text)

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6. 6. WINQSB SETUP FOR OB/GYN EXAMPLE USING WMA3. Source: Screen shots reprinted by permission from Microsoft Corporation and Yih-Long Chang (author of WinQSB). 7. WINQSB SOLUTION TO OB/GYN EXAMPLE WITH WMA3. Source: Screen shots reprinted by permission from Microsoft Corporation and Yih-Long Chang (author of WinQSB). new popup menu to enter the weights. 3 problem as indicated by WMA3. Single Exponential Smoothing (SES). In a single exponential smoothing forecast, each new forecast is based on the previous forecast plus a percentage of the difference between that forecast and the actual value of the series at that point, expressed as: New forecast ϭ Old forecast ϩ ␣ (Actual value Ϫ Old forecast) where, ␣ is the smoothing constant, expressed as a percentage.

A weighted average is similar to a moving average, except that it assigns more weight to the most recent values in a time series. 5. PEDIATRIC VISITS FORECAST USING MA3 AND MA5. Source: Screen shots reprinted by permission from Microsoft Corporation and Yih-Long Chang (author of WinQSB). 20 for the next. 00, and that the heaviest weights be assigned to the most recent values. Trial and error is used to find an acceptable weighting pattern. The advantage of a weighted average over a simple moving average is that the weighted average is more reflective of the most recent actual results.

In a single exponential smoothing forecast, each new forecast is based on the previous forecast plus a percentage of the difference between that forecast and the actual value of the series at that point, expressed as: New forecast ϭ Old forecast ϩ ␣ (Actual value Ϫ Old forecast) where, ␣ is the smoothing constant, expressed as a percentage. , patient visits) in period t Ϫ 1. The smoothing constant ␣ represents a percentage of the forecast error. Each new forecast is equal to the previous forecast plus a percentage of the previous error.

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Quantit Methods in Health Care Management: Techniques and Applications (J-B Public Health Health Services Text) by Yasar A., PhD Ozcan


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