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https://doi.org/10.2139/ssrn.4648828
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-1-4419-6151-8_8openalex-extracted
Slacks-Based Measure of Efficiency
inferredcites →https://doi.org/10.1016/j.amc.2003.08.001openalex-extracted
Input estimation and identification of extra inputs in inverse DEA models
inferredcites →https://doi.org/10.1016/j.cie.2020.106368openalex-extracted
A general inverse DEA model for non-radial DEA
inferredcites →https://doi.org/10.1016/j.eap.2019.01.005openalex-extracted
Treating undesirable outputs in DEA: A critical review
inferredcites →https://doi.org/10.1016/j.ejor.2009.01.027openalex-extracted
Variations on the theme of slacks-based measure of efficiency in DEA
inferredcites →https://doi.org/10.1016/j.ejor.2016.03.059openalex-extracted
Inverse DEA with frontier changes for new product target setting
inferredcites →https://doi.org/10.1016/j.eswa.2018.08.018openalex-extracted
A combined goal programming and inverse DEA method for target setting in mergers
inferredcites →https://doi.org/10.1016/j.eswa.2021.115344openalex-extracted
Limitation and optimization of inputs and outputs in the inverse data envelopment analysis under variable returns to scale
inferredcites →https://doi.org/10.1016/j.ins.2009.12.010openalex-extracted
Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power
inferredcites →https://doi.org/10.1016/s0377-2217(99)00007-7openalex-extracted
An inverse DEA model for inputs/outputs estimate
inferredcites →https://doi.org/10.1016/s0377-2217(99)00407-5openalex-extracted
A slacks-based measure of efficiency in data envelopment analysis
inferredcites →https://doi.org/10.1080/00949650902744420openalex-extracted
Choosing the best pairwise comparisons of means from non-normal populations, with unequal variances, but equal sample sizes
inferredcites →https://doi.org/10.1080/03610919408813194openalex-extracted
Power of pairwise multiple comparisons in the unequal variance case
inferredcites →https://doi.org/10.1177/2515245918808784openalex-extracted
An Updated Recommendation for Multiple Comparisons
inferredcites →https://doi.org/10.1348/000711008x291542openalex-extracted
Power and Type I errors for pairwise comparisons of means in the unequal variances case
inferredcites →https://doi.org/10.2139/ssrn.2627576openalex-extracted
Productivity Analysis in the Service Sector with Data Envelopment Analysis
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