It takes the average reader 3 hours and 21 minutes to read An Introduction to Data Envelopment Analysis by Ramu Ramanathan
Assuming a reading speed of 250 words per minute. Learn more
"From the Foreword: " 'This book is an excellent tool for practitioners who are interested in the merits and pitfalls of the technique . (The author's) research is an example of inventiveness, diligence and accuracy' - "Freerk A. Lootsma, Delft Institute of Technology " Data envelopment Analysis is a Mathematical Programme for measuring performance efficiency of organizational units. The organizational units, termed as decision-making units (DMU) can be of any kind: manufacturing units, a set of schools, banks, hospitals, power plants, police stations, prisons, a set of firms etc. DEA has been unsuccessfully applied to measure the performance efficiency of these different kinds of DMUs which share a common characteristic - that they are non-profit organization where measurement of performance efficiency is difficult. DEA has been employed for assessing the relative performance of a set of firms that use a variety of identical inputs-say in the case of a school: quality of students, teachers, grants etc., -to produce a variety of identical outputs-number of students who pass the final year, average grades obtained by the students in the final year etc. DEA assumes the performance of the DMUs by using the concepts of efficiency or productivity which is measured as the ratio of total outputs to total inputs. Also, the efficiencies estimated are relative to the best performing DMU or DMUs. The best performing DMU is given a score of 100% and the performance of other DMUs vary between 0 -100%."
An Introduction to Data Envelopment Analysis by Ramu Ramanathan is 201 pages long, and a total of 50,451 words.
This makes it 68% the length of the average book. It also has 62% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 4 hours and 35 minutes to read An Introduction to Data Envelopment Analysis aloud.
An Introduction to Data Envelopment Analysis is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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