discrete-time Markov chain model
A Discrete Time Markov Chain Model using Maximum likelihood for the Assessment of Inflation Rate in Pakistan
... A Markov chain is a stochastic process with the ...a chain of linked events, in which coming situation depends on current situation of the ...a discrete set of times is called discrete ...
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Anticipating U.S. Population-level Health Trends Based on Individual-level Dynamics to Inform Public Policy Decisions.
... transtheoretical model (TTM) of change is used widely to model the five stages smokers go through until they quit (Andersen 2007, Prochaska et ...TTM model, the transi- tion among the stages usually ...
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Evaluation Criteria for Reliability in Computer Systems
... a Markov process because the number of events that occur after a certain time is regardless of the events that happened before ...that. Markov chains is a special case of Markov process where ...
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Data Bundle Transmission for Remote System in Duty Cycle Utilizing 3 D Discrete Time Markov Chain
... the model proposed is a mainstream ...the model are: sans blunder channel, the crash likelihood of a station when it endeavours to transmit is autonomous of its state, and hubs work in the immersion ...the ...
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A stochastic model of the provision of guided tours to tourists
... the discrete-time Markov chain that we are studying exhibit “geometric tail ...inspection time variable ought to be altered and also to ascertain whether our firm ought to change the ...
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A Markov Based Performance Analysis of Handover and Load Balancing in HetNets
... same Markov model from our previous work ...apply Discrete Time Ma- rokov Chain to model handover process so that all UEs’ association can be represented by Markov ...
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MARKOV MODEL WITH ABSORBING STATE FOR RELIABLE PACKET DELIVERY IN WIRELESS SENSOR NETWORKS
... For each; node n, the probability to correctly deliver a packet to a node that is Rt links distant is equal to p. So the probability that the packet is not correctly received by this node (1 – p), while it is correctly ...
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A Stochastic SIVS Epidemic Model Based on Birth and Death Process
... continuous time Markov chain model and the stochastic dif- ferential equation model based on birth and death process [4] [14] [16] are formulated based on the deterministic epidemic ...
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Structure-based software reliability prediction*
... reliability model- ing are black-box based, ...to model the overall failure process of such systems us- ing only one of the several software reliability growth ...a discrete time Markov ...
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On Evaluating the Efficacy of Predictive Models for Cognitive Radio Spectrum Availability in Nigeria
... proposed model is a modification of the ap- proach in [21]. The proposed model is given in Figure ...a discrete time two state Markov chain model was proposed as the ...
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Generating Diagnoses for Probabilistic Model Checking Using Causality
... of model checking over other formal methods of verification is its ability to generate an error trace when the specification is falsified in the ...probabilistic model checking (PMC), counterexample ...
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Subgradient-Based Markov Chain Monte Carlo Particle Methods for Discrete-Time Nonlinear Filtering
... Each pair {x (i) 0:k , w k (i) } characterises the belief that the system is in state x (i) 0:k . An estimate of the variable of interest is obtained by the weighted sum of particles. Two major stages can be ...
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Markov Chain Application in Object Oriented Software Designing
... In the field of software engineering, a new modeling language was launched and approved as a standard modeling language for designing the object-oriented systems by the Object Management Group (OMG) in the year of 1997. ...
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Application of Weighted Markov Chain in Precipitation Forecast in Beijing
... Weighted Markov AR-GARCH-GED Model in the Prediction of ...fuzzy Markov chain model with weights and its application in predicting the precipitation ...
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DA via Markov modeling is that the estimated DA is actually
... by Markov models of them and using invariant measure as a stability ...indicator. Markov modeling focuses on asymptotic behaviors of systems and ignores the transient ...via Markov modeling is that ...
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Empirical Noise Modelling in Power Line Communication Systems
... (AR) model to model PLC colored background ...AR model can be regarded as a finite impulse response (FIR) filter to modify the input sequences to get the output sequences that is ...AR model ...
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Probabilistic Model Checking on Propositional Projection Temporal Logic
... by deleting all the finite path from node P to node ε. In fact, a finite path in the NFG of a formula Q cor- responds to a model (i.e., interval) of Q. However, the result does not hold for the infinite case since ...
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A Markov Chain Approach to Study Replacement Model
... Abstract: In this paper a Markov chain approach is applied to find the range for the number of defectives, beyond which, the manufacturing machine has to be replaced. Here the threshold values are found, ...
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ON THE NUMBER OF EVENT APPEARANCES IN A MARKOV CHAIN
... The problem under consideration is closely related to the problem of the number of repetitions of tuples in a random sequence. The limiting distribution of the number of pairs of identical tuples in a Markov ...
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A mathematical model for the occupation rate in a neighborhood
... parking time helps to determine to what type of user a car at the parking place ...parking time of all parkers who ever visited the parking place according to the given data is 631 minutes while the median ...
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