Pages that link to "Item:Q4399702"
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The following pages link to APPLICATION OF PRINCIPAL COMPONENT ANALYSIS FOR PARSIMONIOUS SUMMARIZATION OF DEA INPUTS AND/OR OUTPUTS (Q4399702):
Displaying 17 items.
- Stepwise regression data envelopment analysis for variable reduction (Q298805) (← links)
- An epsilon-based measure of efficiency in DEA -- a third pole of technical efficiency (Q613489) (← links)
- Improving discrimination in data envelopment analysis: PCA-DEA or variable reduction (Q1038415) (← links)
- Comparison of variable selection techniques for data envelopment analysis in a retail bank (Q1751888) (← links)
- A multivariate statistical approach to reducing the number of variables in data envelopment analysis (Q1869530) (← links)
- Methodology for calculating critical values of relevance measures in variable selection methods in data envelopment analysis (Q2029388) (← links)
- Random forests and the measurement of super-efficiency in the context of free disposal hull (Q2171619) (← links)
- Aggregation of inputs and outputs prior to data envelopment analysis under big data (Q2282502) (← links)
- Variable selection in data envelopment analysis (Q2282557) (← links)
- Variable selection in data envelopment analysis via Akaike's information criteria (Q2399328) (← links)
- (Q3384773) (← links)
- Selecting DEA specifications and ranking units via PCA (Q4661045) (← links)
- The curse of dimensionality (COD), misclassified DMUs, and Bayesian DEA (Q5867457) (← links)
- A note on DEA vs principal component analysis: An improvement to Joe Zhu's approach (Q5939586) (← links)
- Selecting slacks-based data envelopment analysis models (Q6112718) (← links)
- Ensemble Based Ranking of Decision Making Units (Q6160399) (← links)
- Evaluating different methods for ranking inputs in the context of the performance assessment of decision making units: a machine learning approach (Q6551089) (← links)
