Download Advances in Data Envelopment Analysis by Rolf Fare, Shawna Grosskopf, Dimitris Margaritis PDF

By Rolf Fare, Shawna Grosskopf, Dimitris Margaritis

Facts Envelopment research (DEA) is frequently neglected in empirical paintings equivalent to diagnostic checks to figure out even if the knowledge conform with know-how which, in flip, is critical in opting for technical switch, or discovering which different types of DEA versions enable information changes, together with facing ordinal data.

Advances in info Envelopment Analysis makes a speciality of either theoretical advancements and their functions into the dimension of effective potency and productiveness development, similar to its software to the modelling of time substitution, i.e. the matter of ways to allocate assets over the years, and estimating the "value" of a call Making Unit (DMU).

Readership: complex postgraduate scholars and researchers in operations examine and economics with a specific curiosity in creation concept and operations administration.

Show description

Read Online or Download Advances in Data Envelopment Analysis PDF

Best microeconomics books

Micro- economics Demystified

There’s no more uncomplicated, swifter, or simpler method to examine the particularly difficult matters Microeconomics Demystified includes a transparent and easy-to-understand presentation of the recommendations and rules of microeconomics, with beneficiant functions and examples. This self-teaching consultant comes entire with key issues, history details, quizzes on the finish of every bankruptcy, or even a last examination.

Credit to Capabilities: A Sociological Study of Microcredit Groups in India

Credits to features specializes in the arguable subject of microcredit's effect on women's empowerment and, specially, at the ignored query of ways microcredit transforms women's organisation. in response to interviews with hundreds of thousands of economically and socially weak girls from peasant families, this e-book highlights the position of the associational mechanism - forming girls into teams which are embedded in an enormous community and delivering the chance for face-to-face participation in team conferences - in enhancing women's features.

Additional resources for Advances in Data Envelopment Analysis

Sample text

From Chapter 1, the DEA/Activity Analysis model of the input set takes the form K L(y o ) = (x 1 , . . , x N ) : z k x kn xn , n = 1, . . , N, z k ykm ymo , m = 1, . . 13) k=1 K k=1 zk 0, k = 1, . . , K . Again from Chapter 1, we know that the efficient subset of L(y o ) is bounded, thus since the DEA technology is closed, the closure of this set is compact and is included in L(y o ). t. t. z k x kn x n , n = 1, . . , N, z k ykm ymo , m = 1, . . , M, k=1 K k=1 zk 0, k = 1, . . , K . March 10, 2015 8:49 Advances in Data Envelopment Analysis - 9in x 6in b2007-ch03 page 41 Chapter 3.

N, (iv) x kn > 0, k = 1, . . , K . 1) To illustrate, assume that we have two DMUs (K = 2) which employ two inputs (N = 2) to produce two outputs (M = 2). , X= x11 x21 x 12 x22 , Y = y11 y21 y12 y22 The Kemeny, Morgenstern and Thompson (1956) condition from (i) above holds for this simple example if y11 + y21 > 0, March 10, 2015 8:49 Advances in Data Envelopment Analysis - 9in x 6in b2007-ch02 page 19 Chapter 2. Looking at the Data in DEA 19 which also holds for output 2, requiring that one of the outputs must be strictly positive.

X1N · · · −x k N · · · −x K N  . M =   y  11 · · · yk1 · · · y K 1    .. ..   ..  . . .  y1M ··· yk M ··· yK M In the DEA world, for each DMU there is a given nonnegative intensity variable z k 0, k = 1, . . , K or z ∈ +K . If these are restricted only to be nonnegative, the resulting DEA technology will exhibit CRS (constant returns to scale). 19) or in terms of inequalities4 K T = (x, y) : z k x kn xn , n = 1, . . , N, z k ykm ym , m = 1, . . 20) k=1 K k=1 zk 0, k = 1, .

Download PDF sample

Rated 4.56 of 5 – based on 26 votes