Pages that link to "Item:Q490188"
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The following pages link to Measuring the efficiency of NBA teams: additive efficiency decomposition in two-stage DEA (Q490188):
Displaying 25 items.
- Assessing the scoring efficiency of a football match (Q323564) (← links)
- A network DEA assessment of team efficiency in the NBA (Q490131) (← links)
- Measuring efficiency and productivity in professional football teams: Evidence from the English premier league (Q940813) (← links)
- Organizational capability, efficiency, and effectiveness in major league baseball: 1901-2002 (Q1014988) (← links)
- Measuring efficiency in the National Basketball Association (Q1391082) (← links)
- Technical and environmental efficiency of a two-stage production and abatement system (Q1699080) (← links)
- Measuring efficiency of German football teams by data envelopment analysis (Q1762893) (← links)
- New common set of weights method in black-box and two-stage data envelopment analysis (Q2069245) (← links)
- A unified extension of super-efficiency in additive data envelopment analysis with integer-valued inputs and outputs: an application to a municipal bus system (Q2178323) (← links)
- Measuring Olympics achievements based on a parallel DEA approach (Q2341223) (← links)
- Selecting non-zero weights to evaluate effectiveness of basketball players with DEA (Q2378361) (← links)
- Economies of scope in two-stage production systems: A data envelopment analysis approach (Q4553874) (← links)
- Measuring the technical efficiency of football legends: who were Real Madrid's all‐time most efficient players? (Q4980001) (← links)
- Evaluating NBA player performance using bounded integer data envelopment analysis (Q5881489) (← links)
- Identifying standards for postseason advancement: a case of the National Basketball Association (Q6092595) (← links)
- Complex networks for community detection of basketball players (Q6115870) (← links)
- Home advantage and mispricing in indoor sports' ghost games: the case of European basketball (Q6115871) (← links)
- A Bayesian network to analyse basketball players' performances: a multivariate copula-based approach (Q6115873) (← links)
- Measuring players' importance in basketball using the generalized Shapley value (Q6115874) (← links)
- A robust method for clustering football players with mixed attributes (Q6170864) (← links)
- Forecasting binary outcomes in soccer (Q6170869) (← links)
- Does luck play a role in the determination of the rank positions in football leagues? A study of Europe's `big five' (Q6170879) (← links)
- Optimization of team selection in fantasy cricket: a hybrid approach using recursive feature elimination and genetic algorithm (Q6170886) (← links)
- Will more skills become a burden? The effect of positional ambiguity on player and team performance (Q6170897) (← links)
- Filtering active moments in basketball games using data from players tracking systems (Q6170899) (← links)
