Stochastic

Summary This article derives the optimal monetary and exchange rate policy by an optimizing model under a small stochastic open economy with imperfect competition and short run price rigidity. After the exchange rate crises, lots of countries choose to adjust flexible exchange rate together with some monetary policies. However, history gives a different opinion of how monetary policy response to nominal and real exchange rate. In the 1970s, economists suggest a flexible exchange rate could help

PERT relies on engine called stochastic analysis that focuses on managing schedules for stochastic project environment. Therefore, the estimated schedule is highly stochastic. A good approximation in beta distribution is obtained only when cv ≤ 0.66. But it is found that 80% of the projects violate the approximation limit that is provided by the beta distribution calculation of PERT. Beta distribution generally reliance on subjective estimates, underestimates stochastic variations. PERT engine with

In order to fully utilize the emergent or planned approach, the conditions of the market need to be address first, in terms of it being slightly stochastic or more stochastic. “The essence of business success lies in making sure you’re playing the right game”. (Nalebuff and Brandenburger, 1995) Finding a balance point between both approaches There need to be a balanced point in using the 2 approach, the

magnitude and timing of climate change's impact on economic productivity (Cai et al., 2013). The majority of the literature, including the recent U.S. Government Interagency Working Group on the Social Cost of Carbon (IWG, 2013) does not model the stochastic nature of the climate and economic systems. Recent work, such as that of Cai

Unlike traditional computer forensics, which relies on digital artifacts, stochastic forensics does not require artifacts and can therefore recreate activity which would otherwise be invisible. Stochastic forensics also one of the main application to identify and investigate insider data theft. It does not create artifacts or change the file attributes or Windows Registry. Consequently,

Although some Physicians are knowledgeable about radiation safety, others have little or no knowledge about radiation safety and does not consider this factor when ordering imaging examinations. Furthermore, non-physician health care providers may be granted the authority to order imaging studies, and their ordering patterns are likely to reflect the behavior of their supervising Physicians (American College of Radiology). Examples of non-physician health care providers include Physician Assistants

this would ensure optimal operating conditions at both the supply side and demand side of the MG [24]. DR programs decrease MG operational cost and improved operation [25]. A stochastic optimization model for determining the optimal forward loads and selling prices to consumers by a single retailer is proposed in [26]. A stochastic energy procurement problem is proposed in [27] for large electricity consumers with multiple energy procurement sources, considering the DR program and energy storage system

V.I.1.a Basic Definitions and Theorems about ARIMA models First we define some important concepts. A stochastic process (c.q. probabilistic process) is defined by a T-dimensional distribution function. Time Series Analysis - ARIMA models - Basic Definitions and Theorems about ARIMA models marginal distribution function of a time series (V.I.1-1) Before analyzing the structure of a time series model one must make sure that the time series are stationary with respect to the variance and with respect

are different approaches to develop a tagger like Rule-based approach, Stochastic or probability approach and transformation-based approach. A simple rule-based tagger automatically acquires its rules and tags with accuracy. ENGTWOL, an English Rule based tagger is considered to be one of the most important tagger of the models based on constraint grammar architecture. After the rule based approach, the statistical or stochastic approach is used to develop language models to disambiguate a word sequence

Project Scheduling by Simulation Modelling Technique Ramkumar Harikrishnakumar Wichita State University Abstract In the present scenario of manufacturing, agile manufacturing calls for flexibility in the global market which involves rapid changes. Flexible manufacturing technology such as agent manufacturing plays a vital role to achieve agility in the system. (Yeung, W. 2012) in job shop floor the project scheduling technique provides the dynamic and unique way of dispatching the jobs if there