Similar Search Results

Cross-sectional analysis of manufacturing production functions in a partitioned "Urban-Rural" sample space

Nicholson, Norman Dwight - 1970

Persistent link: https://www.econbiz.de/10002579233

Zero-variance importance sampling estimators for Markov process expectations

Awad, Hernan P.; Glynn, Peter W.; Rubinstein, Reuven Y. - In: Mathematics of operations research 38 (2013) 2, pp. 358-388

Persistent link: https://www.econbiz.de/10009751518

Utility-based shortfall risk : efficient computations via Monte Carlo

Hu, Zhaolin; Zhang, Dali - In: Naval research logistics : an international journal 65 (2018) 5, pp. 378-392

Persistent link: https://www.econbiz.de/10011969327

Quantile estimation with Latin hypercube sampling

Dong, Hui; Nakayama, Marvin K. - In: Operations research 65 (2017) 6, pp. 1678-1695

Persistent link: https://www.econbiz.de/10011777843

A new unbiased stochastic derivative estimator for discontinuous sample performances with structural parameters

Peng, Yijie; Fu, Michael; Hu, Jian-Qiang; Heidergott, Bernd - In: Operations research 66 (2018) 2, pp. 487-499

Persistent link: https://www.econbiz.de/10011845997

An introduction to understanding and teaching within-cluster correlation in complex surveys

Barreto, Humberto; Raghav, Manu - In: Eastern economic journal 43 (2017) 4, pp. 727-728

Persistent link: https://www.econbiz.de/10012244036

Asymptotically optimal sampling policy for selecting top-m alternatives

Zhang, Gongbo; Peng, Yijie; Zhang, Jianghua; Zhou, Enlu - In: INFORMS journal on computing : JOC ; charting new … 35 (2023) 6, pp. 1261-1285

Persistent link: https://www.econbiz.de/10014471465

Nonparametric learning rules from bandit experiments : the eyes have it!

Hu, Yingyao; Kayaba, Yutaka; Shum, Matthew - 2010

accordance with current beliefs). Simulation results show how the estimated nonparametric learning rules fit aspects of subjects …

Persistent link: https://www.econbiz.de/10003989987

Nonparametric learning rules from bandit experiments : the eyes have it!

Hu, Yingyao; Kayaba, Yutaka; Shum, Matthew - 2010

How do people learn? We assess, in a distribution-free manner, subjects' learning and choice rules in dynamic two-armed bandit (probabilistic reversal learning) experiments. To aid in identification and estimation, we use auxiliary measures of subjects' beliefs, in the form of their...

Persistent link: https://www.econbiz.de/10008652140

Analysis of numerical errors

Peralta-Alva, Adrian; Santos, Manuel - 2012

Persistent link: https://www.econbiz.de/10009681262