stochastic approach
Stochastic approach markov chain applied to the analysis and project of the information systems oriented to object
... a stochastic approach (Wazlawick, ...a stochastic process involves the behavior of a system over a period of time, this process should start by specifying the set of time T involved, in general ...
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Estimating standard error of inflation in Pakistan: A stochastic approach
... new stochastic approach of Clements and Izan (1987) was on the restriction of homoscedasticity on the variance of the error term in the OLS regression (Diewert, ...new stochastic approach to ...
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Quantifying bioirrigation using ecological parameters: a stochastic approach†
... a stochastic model of bioirrigation based on benthic ecological data is ...calculate stochastic realizations of 3D burrow ...a stochastic approach. However, the stochastic model ...
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Stochastic approach for radionuclides quantification
... The quantification of nuclear material is essential in the nuclear industry. It allows, among other things, to comply with the legal regulations relating to the management of nuclear waste. The quantification method ...
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A Stochastic Approach to Parsing
... A Stochastic Approach to Parsing A Stochastic Approach t O Parsing Geoffrey Sampson Department of Linguistics & Phonetics University of Leeds I Simulated annealing (e g Kirkpatrick et alo 1983, Bridle[.] ...
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Measuring inflation through stochastic approach to index numbers
... good approach is stochastic approach to index numbers, which was reintroduced by Frisch ...(1936). Stochastic approach to index numbers used the same information to measure the rate of ...
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Stochastic approach of congestion in 2G to 4G+ networks
... the stochastic approach to congestion that is unknown to some users or designers of telecommunication ...This approach will be based on the modelizations of the arrival and the waiting calls on the ...
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Speech Recognition Using Stochastic Approach: A Review
... phonetic approach, Pattern recognition approach and Artificial intelligence ...of stochastic approach to develop voice based, user friendly interface software ...
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Stochastic Approach in Epidemic Modeling Using the SEIRS
... Abstract. The study of infectious diseases represents one of the oldest and richest sectors of biomathematics. The transmission dynamics of these diseases are still a major problem in math- ematical epidemiology. In this ...
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PERFORMANCE MEASURES OF STUDENTS IN EXAMINATIONS: A STOCHASTIC APPROACH
... A Stochastic Modeling on Grading System in proceedings of the Second International Conference on Operations and Quantitative Management in the Global Business Environment (ICOQM), Ahmedabad, India, 3– 6 th January ...
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On the estimation of time to get aids symptoms – A stochastic approach
... Antigenic diversity is an important determinant of outcome of infection with HIV. Successive invasion through various modes of HIV transmission may contribute to the increase in the antigenic diversity of HIV. There it ...
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A stochastic approach to allocation of capacity in a gas transmission network
... The difference between the upper bound of the maximum hour allocation for the total group of shippers at one network point and the total booking of the individual shippers is the capacit[r] ...
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Prognostic Example of Stochastic Approach
... Many crucial factors within the problem and original stochastic nature of the bank economic counteragents activity forces to model bank operating under conditions of uncertainty in environment reactions. First ...
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Compilation by stochastic Hamiltonian sparsification
... attractive approach to quantum simulation because of its ...a stochastic approach that samples terms from the Hamiltonian, trading accu- racy for computational cost; importantly, qDRIFT scales ...
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Multiobjective Stochastic Linear Programming: An Overview
... The stochastic approach takes into account depen- dencies between objective functions, whereas the multi- objective approach does not (see for example ...the stochastic approach closer ...
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An Adaptive MRI Tumor Detection Using Neural Network Based Adaboost Algorithm
... A stochastic approach for tumor texture in human brain magnetic resonance images is ...the approach is proved in patient self-reliant tumor surface characteristic segmentation and extraction in ...
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Applications of the stochastic frontier approach in Energy Economics
... In the preceding sections we have discussed a selection of empirical issues that often appear when standard SFA models are used in both benchmarking regulation and energy demand settings. Obviously, there are other ...
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Discrete Time Nonlinear Stochastic Optimal Control Problem Based on Stochastic Approximation Approach
... the stochastic approximation scheme into the IOCPE algorithm was discussed in this ...nonlinear stochastic optimal control problem, while the stochastic approximation is for the stochastic ...
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Monte Carlo sampling approach to stochastic programming
... a limiting (often normal) distribution (asymptotic normality of M -estimators, Huber [6]). Regularity conditions which usually assumed in order to ensure such asymptotics are that the expected value function f ( x ) is ...
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Maximum likelihood estimation for stochastic processes - a martingale approach
... All the above discussion has been concerned with ML estimation for stochastic processes. There has recently appeared a discussion of maximum probability estimators (Weiss and Wolfowitz [1]) which incorporates the ...
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