Evaluating the impact of a grouping variable on job satisfaction drivers

DOI10.1007/s10260-010-0141-0zbMath1332.90129OpenAlexW2039493893MaRDI QIDQ257557

Paola Zuccolotto

Publication date: 17 March 2016

Published in: Statistical Methods and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10260-010-0141-0

zbMATH Keywords

job satisfactionlearning ensemblesrandom forestsocial service sectorvariable importance measures

Mathematics Subject Classification ID

Management decision making, including multiple objectives (90B50)

Cites Work

• Unnamed Item
• Greedy function approximation: A gradient boosting machine.
• Bagging predictors
• PLS path modeling
• Unbiased split selection for classification trees based on the Gini index
• Heuristics of instability and stabilization in model selection
• Statistical modeling: The two cultures. (With comments and a rejoinder).
• Random forests