nonparametric method, based on reliability and survival data, are presented in detail. …

nonparametric regression method together with some advanced techniques in order to deal with potential problems. The second essay … capital accumulation and productive improvements? Our approach to the question utilizes a nonparametric derivative estimation …

partners of power and how power playsout, the community organisation’s ability to understand their circumstancesand negotiate … isolated from the influence of power.This study concludes by recommending certain principles, to guide acommunity …

We define a new not yet investigated unit commitment problem that introduces an energy constraint to a thermal power … investigate the theory of upper bounds for a proper validation of our power plant results. In particular we provide an extension … for swing options with multiple exercises at the same stage. Finally we provide a risk analysis for our thermal power …

The State of Ohio receives 90% of its electricity from coal power plants. The City of Oberlin’s power provider, Oberlin … Municipal Light and Power Systems (OMLPS), is facing a 70% net annual shortfall in electric supply starting in January of 2013 …

how power interacts with testosterone to influence risk taking and inhibitory control. As testosterone is as-sociated with … the pursuit of power and status (Dabbs & Dabbs, 2000), high testoster-one individuals primed with power were expected to … primed with low power were expected to use risk taking as a vehicle for pursuing po-tential gains to their status and …

) methodology, is used in conjunction with the Semiparametric testing procedure.Monte Carlo power studies show that for binary data … high power in detecting unknown hot-spot clusters. When the dataare not binary, the Semiparametric methodology is still … statistic, in order to achieve power comparable to that achieved by the Semiparametric method. Kulldorff's method with an …