first order Markov chain
STOCHASTIC GENERATION OF THE OCCURRENCE AND AMOUNT OF DAILY RAINFALL
... The first order Markov chain model was used to generate the sequence of rainfall occurrence using the method of transitional probability matrices, while daily rainfall amount was generated ...
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Quantitative Study of Markov Model for Prediction of User Behavior for Web Caching and Prefetching Purpose
... In Markov Model, pattern generation process is based on session identification ...in Markov Model to generate pattern as an ...of Markov Chains. Markov chain can be described as a set ...
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Markov chain modeling of daily rainfall in Lay Gaint Woreda, South Gonder Zone, Ethiopia
... Zero, first and second order Markov chain was used to describe the characteristics of rainfall occurrences in this ...The first order Markov chain model indicates ...
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Performance Characteristics of the 10hp Induction Machine
... day at three different regions during Southwest and Northeast monsoon in Peninsular Malaysia. The expected length of dry and wet spells as shown in Figure (2) was calculated based on the first order ...
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Statistical model of daily flow in arid and semi arid regions
... of Markov chains in describing daily rainfall occurrences firstly introduced by Gabriel and Neumann ...used Markov chains to find the persistency of rainfall data during the rainy season over three tropical ...
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AN EMPIRICAL STUDY ON STOCK INDEX TREND PREDICTION USING MARKOV CHAIN ANALYSIS
... the First Order Markov Chain assuming only two possible states (Bull and Bear), and further studies could be conducted using higher order Markov chains to gain better insight ...
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Web Navigation Path Pattern Prediction using First Order Markov Model and Depth first Evaluation
... in order to understand the interaction between users and a web site, which helps to improve web ...the Markov chain for the high probability ...
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Transition Logic Regression Method to Identify Interactions in Binary Longitudinal Data
... High order interactions of SNPs are supposed to explain the differences between low- and high-risk groups ...In order to assess this association, Transition Logic Regression models with first and ...
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An occupant-differentiated, higher-order Markov Chain method for prediction of domestic occupancy
... A Markov-Chain based method for generating realistic occupancy profiles has been developed that aims to improve accuracy in each of these areas to provide a foundation for future en- ergy demand modelling ...
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Anticipating U.S. Population-level Health Trends Based on Individual-level Dynamics to Inform Public Policy Decisions.
... the Markov chain model (Killeen 2011, Yeh et ...a first-order Markov model, these transitions depend only on the current status and are independent of the ...In Markov ...
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Performance comparison of first-order conditional estimation with interaction and Bayesian estimation methods for estimating the population parameters and its distribution from data sets with a low number of subjects
... classical first-order conditional estimation 19 with interaction (FOCE-I) and expectation maximization (EM)-based Markov chain Monte Carlo Bayesian (BAYES) 20 estimation methods were compared ...
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Computing the entropy of user navigation in the web
... underlying Markov chain modelling the web ...higher-order Markov chains by a suitable reduction of a higher-order Markov chain model to a first-order ...
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Evaluation Criteria for Reliability in Computer Systems
... The first order Markov model, the state of the system at time t + 1 depends the state of the system at t not on the state of the system to chain all transitions between state before time t, in ...
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Stability of noisy Metropolis–Hastings
... noisy chain is positive recurrent, so it has an invariant probability ...Carlo Markov chain to ...noisy Markov chain is transient even though the marginal and pseudo-marginal chains are ...
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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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Fuzzy Markov Decision Model in the Analysis of Agricultural System for Enhancing Agricultural Production \delta g*-Super Closed Sets Gaussian Quadrature Rule
... fuzzy Markov chain in order to analyse the agricultural system particularly to identify nutrient requirement of various parts of crop at the different age group also the model identifies fertilizer ...
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The Impact of Monetary Policy on Economic Growth in Cambodia: Bayesian Approach
... This research paper aims to study the significance of monetary policy in the contribution to the economic growth of Cambodia. This study employs the data in the period of 2000-2018 consisting in total 19 years. Once the ...
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Leveraging Hidden Dialogue State to Select Tutorial Moves
... including first-order Markov, hidden Markov, and hierarchical hidden Markov models, for predicting tutor dialogue acts within a ...
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Modelling and analysis of a genetic oscillator in E coli
... The Markov chain based modelling framework allows to bridge from detailed, discrete stochastic model formulations to deterministic and continuous systems, which are more tractable by mathematical ...
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... a Markov chain model in order to perform the comparative analysis of the performance of member scheduling ...the Markov chain model based study, the general class contains scheme-III as ...
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