An introduction to crystal analysis by William Henry Bragg

By William Henry Bragg

This e-book is based on a process lectures which was once given on the collage university, Aberystwyth, within the autumn of 1926. The lectures have been meant for a basic viewers ; and consisted, as a result, of a sequence of easy illustrations of the most good points of crvstal research. it is going to no longer were attainable to do extra in the limits imposed via time and the situations. The therapy during this booklet is a bit of fuller and extra different than that of the lectures.

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8 patients, after having proportionately increased this output by its efficiency score. However, despite the augmentation in this output, it still would not achieve efficiency. No other output can be increased. 5 hours. A similar situation in a different magnitude exists for H10. On the other hand, H6 can augment its outpatient visits by 26. 24. 36 2 Performance Measurement Using Data Envelopment Analysis (DEA) Fig. 16 Slacks of output-oriented CRS model Fig. 3 Efficient Targets for Inputs and Outputs Again, we can summarize these finding further by examining the “Target” sheet.

7 or 20 visits. 19 less for medical supplies. Please note that these calculations are the results of Models two and four executed in succession or Model five, as explained in the appendices at the end of the chapter. 30 2 Performance Measurement Using Data Envelopment Analysis (DEA) Fig. 3 Efficient Targets for Inputs and Outputs We can summarize these findings further by examining the “Target” sheet. Here, for each hospital, target input and output levels are prescribed. These targets are the results of respective slack values added to outputs.

On the other hand, when scale economies exist, and for various other reasons, the frontier may be defined differently. For instance, if a proportional increase in one or more inputs can cause greater than proportion increase in outputs, then constant returns are not present. Similarly, a proportional increase in inputs may yield less than a proportional increase in outputs. These situations raise the notion of varying returns, and in DEA literature this is identified as variable returns to scale (VRS).

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