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Data Envelopment Analysis with R

data envelopment analysis (DEA), with a special emphasis on fuzzy DEA. It then describes DEA models, including fuzzy DEA models, and shows how;

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Data Envelopment Analysis with R

data envelopment analysis (DEA), with a special emphasis on fuzzy DEA. It then describes DEA models, including fuzzy DEA models, and shows how;

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Advances In Data Envelopment Analysis

Data Envelopment Analysis (DEA) is often overlooked in empirical work such as diagnostic tests to determine whether the data conform with;

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Applications of Management Science

improvement of patient flow. This volume will be valuable to those interested in multiple criteria applications, data envelopment analysis;

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Production and Efficiency Analysis with R

and stochastic data envelopment analysis. The text is intended for master students interested in empirical production and efficiency analysis;

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Applications of Management Science

of management science methodologies, data envelopment analysis and multi-criteria decision making. The first section is focused on data envelopment;

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Data Envelopment Analysis - Brancheninterne Effizienzanalyse auf Basis von Unternehmensbilanzdaten

Wegen der weitreichenden Bedeutung der Data Envelopment Analysis (DEA) und ihren zahlreichen Potenzialen wird sie in diesem Buch dazu;

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Data Science and Productivity Analytics

practically and theoretically important areas of 'productivity analysisdata envelopment analysis' and 'data science/big data'. Data science;

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Environmental Data Analysis

methods, data envelopment analysis, risk assessments and life cycle assessments. These state-of-the-art techniques have attracted significant;

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Decision Making and Performance Evaluation Using Data Envelopment Analysis

This book offers new transparent views and step-by-step methods for performance evaluation of a set of units using Data Envelopment;

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Decision Making and Performance Evaluation Using Data Envelopment Analysis

This book offers new transparent views and step-by-step methods for performance evaluation of a set of units using Data Envelopment;

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Data Envelopment Analysis

-optimizing behaviors of decision makers and non-financial performance criteria. A promising management instrument is data envelopment analysis (DEA;

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Efficiency, Market Dynamics and Industry Growth

as Data Envelopment Analysis. This book is essential reading for all interested in economic theory and innovation.;

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Modern Methods for Business Research

theory models, data envelopment analysis, and heuristic search procedures. The chapters on modeling examine exploratory and confirmatory factor;

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Data Envelopment Analysis in the Financial Services Industry

This book presents the methodology and applications of Data Envelopment Analysis (DEA) in measuring productivity, efficiency and;

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Data-Enabled Analytics: Dea for Big Data

This book explores the novel uses and potentials of Data Envelopment Analysis (DEA) under big data. These areas are of widespread interest;

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Modern Methods for Business Research

theory models, data envelopment analysis, and heuristic search procedures. The chapters on modeling examine exploratory and confirmatory factor;

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Managing Service Productivity

This volume describes how frontier efficiency methodologies such as Data Envelopment Analysis (DEA) and other techniques such as multi;

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Hands-On Exploratory Data Analysis with R

Discover and practice graphical exploratory analysis techniques across domains Book DescriptionHands-On Exploratory Data Analysis with R will;

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R Data Analysis Cookbook -

reporting with Shiny * Get started with geospatial analysis * Handling large data with R using Spark and MongoDB * Build Recommendation system;

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Data Envelopment Analysis

and easily comprehensible, yet fairly rigorous, exposition of the core literature on data envelopment analysis (DEA) for readers based;

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Data Envelopment Analysis

and easily comprehensible, yet fairly rigorous, exposition of the core literature on data envelopment analysis (DEA) for readers based;

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DATA ENVELOPMENT ANALYSIS and Confident-DEA

This work contributes to the Data Envelopment Analysis (DEA) literature at three ways. First, it extends the roots of DEA by providing an;

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