Titlebook: Data Science and Productivity Analytics; Vincent Charles,Juan Aparicio,Joe Zhu Book 2020 Springer Nature Switzerland AG 2020 Productivity

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CHART

International Series in Operations Research & Management Sciencehttp://image.papertrans.cn/d/image/263105.jpg

Initial

Playing with Text and Data Filesork provides the fastest available technique in the DEA literature to deal with big data. It is well known that as the number of decision-making units (DMUs) or the number of inputs–outputs increases, the size of DEA linear programming problems increases; and thus, the elapsed time to evaluate the p

entreat

Playing with Text and Data Fileshave a broad impact within and beyond the field. Algorithmic, computational, and geometric results in DEA allow us to solve larger problems faster; they also contribute to various other fields including computational geometry, statistics, and machine learning. This chapter reviews these topics from

逃避責任

思考

思考

Computational Biology of Non-Coding RNAon the non-parametric derivation of the Production Possibility Set (PPS), on the multiplicity of DEA models and on how to handle different types of situations, namely, undesirable outputs, ratio variables, multi-period data, negative data non-discretionary variables, and integer variables.

克制

Rosario Michael Piro,Annalisa Marsicons that are available using the Stochastic Frontier Analysis (SFA), the most popular parametric frontier technique. We start this chapter summarizing the main results of production theory using the concept of distance function. Next, we outline the most popular estimation methods: maximum likelihood

支架

Xin Lai,Shailendra K. Gupta,Julio Verafor the second stage is critical, in order to ensure that the two stages have incentives to collaborate with each other to achieve the best performance of the whole system. Data envelopment analysis (DEA) as a non-parametric approach for efficiency evaluation of multi-input, multi-output systems has

古代

Rosario Michael Piro,Annalisa Marsicollocate fixed cost and resource primary based on the efficiency maximization principle. However, due to the existing of technology heterogeneity among DMUs, it is impractical for all the DMUs to achieve a common technology level, especially when some DMUs are far from the efficient frontier. In this