Markov chain model, inactive periods present
A Markov Chain Approach to Study Replacement Model
... 2) Theorem II: The maintenance cost increases with time and money value decreases at constant rate i.e., if depreciation value is given, then the replacement policy will be a) Replace if the future maintenance cost is ...
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A New Model to Speculate CLV Based on Markov Chain Model
... The present article can be categorized in first group, because we are going to develop a new model to calculate ...proposed model in this study uses Markov chain model and data ...
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A Logistic Regression/Markov Chain Model For NCAA Basketball
... Regression/Markov Chain Model For NCAA Basketball Paul Kvam 1 and Joel ...we present a combined logistic regression/Markov chain (LRMC) model for predicting the outcome of ...
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STATISTICAL ANALYSIS ON MIGRANTS USING MARKOV CHAIN MODEL
... In India, migration influenced in shaping our culture as well as diversity of population. In the present scenario, migration is controlled by ‘pull’ and ‘push’ factors. In the long run, the density of the ...
A Markov chain model of power indices in corporate structures
... Figure 9: Re-arranged transition matrix shares. In this case, there are 3 equivalence classes in the transition matrix which are {00}, {11} and {01, 10}. The last one is periodic with period 2. Remark 4.2. The previous ...
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A Markov-chain Activity-based Model for Pedestrians in Office Buildings
... behaviour model that simulates office occupants’ movements and locations can provide the high spatial and temporal resolution data required for the testing, evaluation, and optimization of these control ...
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Hierarchical Multiple Markov Chain Model for Unsupervised Texture Segmentation
... The performance of the proposed segmentation algorithm was assessed by experimenting with the texture mosaics of the Prague benchmark [32], that scores segmentation algorithms by means of several accuracy indicators. ...
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Hidden fuzzy Markov chain model with K discrete classes
... hidden Markov chain model, in order to separate continuous from discrete com- ponents in the hidden ...We present a new F-HMC (fuzzy hidden Markov chain) related to three hard ...
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A Markov chain model for changes in users’ assessment of search results
... formal model for users’ changes in relevance assessments over time, and to utilise the model to quantify these changes, noting that we consider the “ average ” or “ collective ” behaviour of users rather ...
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The evolution of farm size distribution: revisiting the Markov chain model
... was early addressed to take into account the dynamic nature of the underlying microeconomic processes [3], one has to wait for the works of Chavas and Magand [11] and Disney et. al [12] to see such a feature introduced ...
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Predicting the Severity of Major Depression Disorder with the Markov Chain Model
... traditional methods, the relative expedience of the proposed method is especially attractive. This investigation suggests that ambient technologies and mathematical methods can be applied to the diagnosis and analysis of ...
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A Markov Chain Model for Semantic Indexing of Sport Program Sequences
... In this work we present a semantic video indexing algorithm using controlled Markov chains to model the temporal evolution of low-level video descriptors. To reduce the number of false detections ...
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A Markov Chain Model for Analysing theProgression of Patient´sHealth States
... Abstract. Markov chains (MCs) have been used to study how the health states of patients are progressing in ...MC model is introduced that allows m to ...The present paper only considers problems ...
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Stochastic Model for Rainfall Occurrence Using Markov Chain Model in Kurdufan State, Sudan
... P Probability of the third wet week, given the preceding week wet 3. Source of data The present work is based on data related to the autumn season (May-November) daily rainfall reported by two stations in Sudan. ...
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A Discrete Time Markov Chain Model for the Assessment of Inflation Rate in Pakistan
... Discrete Markov chain models are valuable for demonstrating mostly applied structures such as trade systems, line up systems [II] and account systems ...time Markov chain is a random procedure ...
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Walker Escape Route without Visibility Based On Markov Chain Model
... Crisis Navigation Using Wireless Sensor Networks An essential piece of a route framework is a way age convention for solid direction and vigorous adjustment to ecological flow. Sensor systems depend on a waypoint ...
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Markov Chain Model for Probability of Weekly Rainfall in Mandya District, Karnataka
... The major crops of the Mandya district are ragi (grown in 85,467 ha.), rice (grown in 79,892 ha.) sugarcane (grown in 30,630 ha.), pulses (Horse gram, Tur, Cowpea, Green gram, Black gram, Avare) and Oilseeds (groundnut ...
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Analysis of Users Web Browsing Behavior Using Markov chain Model
... In present days of growing information technology, many browsers available for surfing and web ...through Markov chain procedure and transition probabilities are ...
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On the Markov Chain Binomial Model
... Using the Edwards’ [3] formulation and an approach introduced by Devore [5] and results given by Edwards [6], exact maxi- mum likelihood estimation of model parameters is ob- tained [r] ...
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A Markov chain model for contagion
... bivariate Markov chain counting process with contagion for modelling the clustering arrival of loss claims with delayed settlement for an insurance ...continuous-time model framework that also has ...
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