Quasi-Experimental Methods For Real World Data

islanding detection methods for microgrids

امروزه استفاده از منابع انرژی پراکنده کاربرد وسیعی یافته است . اگر چه این منابع بسیاری از مشکلات شبکه را حل می کنند اما زیاد شدن آنها مسائل فراوانی برای سیستم قدرت به همراه دارد . استفاده از میکروشبکه راه حلی است که علاوه بر استفاده از مزایای منابع انرژی پراکنده برخی از مشکلات ایجاد شده توسط آنها را نیز منتفی می کند . همچنین میکروشبکه ها کیفیت برق و قابلیت اطمینان تامین انرژی مشترکان را افزایش ...

Quasi - Experimental Methods an Annotated Bibliography

Modeling Real-World Data Sets

Traditionally, the performance of algorithms is evaluated using worst-case analysis. For a number of problems, this type of analysis gives overly pessimistic results: Worst-case inputs are rather artificial and do not occur in practical applications. In this lecture we review some alternative analysis approaches leading to more realistic and robust performance evaluations. Specifically, we focu...

Measuring Real-World Data Availability

This paper examines how server marketing claims of high reliability (e.g., 99.999%) stack up against real world data measurements. Our goals were to: measure discretionary NFS data availability, compare data availability between standalone and clustered systems, and draw some conclusions about best practices for customers. We explain our methodology for measuring, filtering, and categorizing av...

Estimating Hospital Quality with Quasi-experimental Data∗

Non-random sorting can bias outcome-based measures of institutional quality. I develop tractable instrumental variable quality estimators that accommodate nonlinear causal effects, institutional comparative advantage, and selection-on-gains. I use this framework to compute empirical Bayes posteriors for U.S. hospital quality that optimally combine estimates from quasi-experimental ambulance com...