Markov Chain Model for the SS Bridge
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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A Markov Chain Approach to Study Replacement Model
... 1) Different distributions can be fitted to the number of defectives and the threshold values can be compared. 2) The approach can be varied using other methods like fuzzy, etc. to find these values. III. CONCLUSIONS The ...
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Markov chain portfolio liquidity optimization model
... optimization model based on available public data, using Markov chain and Genetic Algorithms concepts as it considers the classic duality of risk versus return and incorporating liquidity ...
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A New Model to Speculate CLV Based on Markov Chain Model
... new model to calculate ...proposed model in this study uses Markov chain model and data mining techniques to calculate the value of different groups of ...This model also can ...
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An interest rate model with Markov chain volatility level
... rate model, where the volatility level follows con- tinuous time finite state Markov ...rate model, bond price close form solution, Markov chain volatility ...
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A Markov chain model for predicting Major League Baseball
... games, but 2.43% of plate appearances at home, resulting in an HR home-field adjustment of 1.014. We would then adjust the plate appearance probabilities in an analagous manner to handedness. Finally, we would consider ...
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A Logistic Regression/Markov Chain Model For NCAA Basketball
... each model in the three pool scoring ...LRMC model appears to give better predictions, we do not yet have a good method for deriving probability estimates from LRMC ...
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STATISTICAL ANALYSIS ON MIGRANTS USING MARKOV CHAIN MODEL
... 1. Associate Professor and Head, Department of Statistics, 2. Ph.D., Research Scholar, Department of Statistics, Government Arts College (Autonomous), Salem, Tamilnadu, India Abstract: India is an agricultural country ...
A calculator adaptation of the Markov chain model for manpower analysis
... Markov Analysis, Markovian Flows, Stochastic, Empirical, Hypothetical, Push Personnel Flows, Manpower Forecasting, Manpower Planning, System Control Strategy, Manpower Models, Transition[r] ...
A Markov chain model of power indices in corporate structures
... i.e., firms that can be considered as their own shareholders thus free to make their decisions. But in more complex corporate networks, we might want to tell the “controlling power” of some dependent firms. In addition, ...
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A Markov-chain based model for a bike-sharing system
... of trips starting from the i 0 th bike station. The other entries in the same row are chosen proportionally to the frequency with which a given bike station is chosen as a destination for a trip starting from the i 0 th ...
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A Logistic Regression/Markov Chain Model for NCAA Basketball
... programming model which, given estimated probabilities of each team beating each other team head-to-head in a tournment game and given point values for each game in the pool, suggests a prediction strategy that ...
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Markov chain comparison
... The version presented in WRAP is the published version or, version of record, and may be cited as it appears here.For more information, please contact the WRAP Team at:. publications@wa[r] ...
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Application of a Markov Chain Traffic Model to the Greater Philadelphia Region
... this model is to predict where and when heavy traffic occurs, it is necessary to determine how many vehicles are traveling on each segment of the highway system during each time ...this model prohibits ...
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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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Fitting a Complex Markov Chain Model for Firm and Market Productivity
... A model to predict productivity based on labor demand in a single firm or a market would be highly useful in order to avoid unnecessary adjustments or to make sure that adjustments happen in ...a model is ...
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Hierarchical Multiple Markov Chain Model for Unsupervised Texture Segmentation
... this model eventually allows us to circumvent the cluster validation problem, since it aims at recursively retrieving textures which cover larger and larger areas of the image until the whole image is associated ...
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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 ...hidden Markov chain) related to three hard classes, based on a general extension ...
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Deep Level Markov Chain Model for Semantic Document Retrieval
... Topic modelling is the basic model in natural language processing. Xing Wei [10] used topic modelling for information retrieval solution, they proved the effective of system when tested with TREC data sets after ...
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