The Variance Learning Curve
نویسندگان
چکیده
The expansive learning curve literature in operations management has established how various facets of prior experience improve average performance. In this paper, we explore increased cumulative affects performance variability or consistency. We use a two-stage estimation method heteroskedastic model to examine the relationship between and among paramedics at London Ambulance Service. find that, for with lower experience, an increase 500 jobs reduces variance task completion time by 8.7%, addition improving times 2.7%. Similar results on curve, diminishing impact additional curve. provide evidence base benefits service systems. Our findings imply that are substantially underestimated if consistency effect is ignored. Specifically, our estimates indicate queue lengths (or wait times) might be overestimated as much 4% ignoring Furthermore, suggest previously drivers productivity should revisited they affect consistency, This paper was accepted Charles Corbett, management.
منابع مشابه
Consistent Variance Curve Models
We introduce equity forward variance term-structure models and derive the respective HJM-type arbitrage conditions. We then discuss finitedimensional Markovian representations of the infinite-dimensional fixed time-to-maturity forward variance swap curve and analyse examples of such variance curve functionals. The results are then applied to show that the speed of mean-reversion in standard sto...
متن کاملLessons from the learning curve.
Transcatheter aortic valve insertion (TAVI) has taken center stage, but TAVI is not easy to do, has limitations, and is a complex procedure requiring multiple operators. Thus, interventional cardiologists, cardiac surgeons, echocardiographers, anesthesiologists, and vascular surgeons have formed “teams” that come together to work in hybrid operating rooms or catheterization laboratories to perf...
متن کاملThe climate change learning curve
The purpose of this paper is to confront economic models of climate change with the reality that limited information exists with which to form expectations about the evolution of the climate. A key element in the tension between those who believe we should impose aggressive climate change mitigation policies and those who do not is the question of if we are merely in a long period of shock-indu...
متن کاملCalculation of the Learning Curve
The learning curve of Bayes optimal classii-cation algorithm when learning a perceptron from noisy random training examples is calculated exactly in the limit of large training sample size and large instance space dimension using methods of statistical mechanics. It is shown that under certain assumptions, in this \thermodynamic" limit, the probability of misclassiication of Bayes optimal algor...
متن کاملVariance Regularizing Adversarial Learning
We introduce a novel approach for training adversarial models by replacing the discriminator score with a bi-modal Gaussian distribution over the real/fake indicator variables. In order to do this, we train the Gaussian classifier to match the target bi-modal distribution implicitly through meta-adversarial training. We hypothesize that this approach ensures a nonzero gradient to the generator,...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Management Science
سال: 2021
ISSN: ['0025-1909', '1526-5501']
DOI: https://doi.org/10.1287/mnsc.2020.3797