Search Results - data distribution _ algorithm*
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1
Some families of count distributions for modelling zero-inflation and dispersion / Low Yeh Ching
Published 2016“…A popular distribution for the modelling of discrete count data is the Poisson distribution. …”
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2
Poisson Transmuted Exponential Distribution For Count Data With Skewed, Dispersed And Excess Zero
Published 2024“…Assuming Poisson Distribution For Count Data May Be Misleading In Most Cases Because It Assumes Equidispersion, Whereas Count Data Is Usually Overdispersed. …”
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3
Confidence intervals (CI) for concentration parameter in von Mises distribution and analysis of missing values for circular data / Siti Fatimah binti Hassan
Published 2015“…For example, the distribution analogues to the normal distribution in linear data is known as circular normal distribution. …”
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4
Development of read-one-write-all synchronization transaction daemon (row A-STD) in distributed system
Published 2010“…In distributed system environment, replicated data is the current trend to keep data updated in multiple sites. …”
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5
Efficient access of replicated data in distributed database systems
Published 2001“…Replication is a useful technique for distributed database systems where a data object will be accessed (Le., read and written) from multiple locations such as from a local area network environment or geographically distributed world wide. …”
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6
Distributed Join Query Processing for Big RDF Data
Published 2018“…In this paper, we provide comprehensive discussion about the proposed algorithms of Join.Query processing of RDF data by considering MapReduce Framework in a distributed environment. …”
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Binary Vote Assignment on Cloud Quorum Algorithm for Fragmented MyGRANTS Database Replication
Published 2015“…We address how to build reliable systems by using the proposed BVACQ algorithm for distributed database fragmentation by using Malaysian Greater Research Network (MyGRANTS) data in our case study. …”
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A new Gompertz-three-parameter-lindley distribution for modeling survival time data
Published 2025“…In this paper, a new survival distribution is introduced. It is a mixture of the Gompertz distribution and three-parameter-Lindley distribution. …”
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Estimation Of Weibull Parameters Using Simulated Annealing As Applied In Financial Data
Published 2023“…The finding reveals that the Weibull distribution is well-suited to describing the investment behaviour of the MPS based on the estimates via the SA algorithm. …”
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10
Data discovery algorithm for scientific data grid environment
Published 2005“…By using this model, we study various discovery algorithms for locating data sets in a data grid system. …”
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11
Prior selection for Gumbel distribution parameters using multiple-try metropolis algorithm for monthly maxima PM10 data
Published 2013“…Focus is on modelling the extreme data based on block maxima approach using Gumbel distribution. …”
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12
Sizing and placement of solar photovoltaic plants by using time-series historical weather data
Published 2018“…In contrast to existing methods, planning for DGs by using weather data provided more realistic results for DSPP in distribution networks. …”
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Sizing and placement of solar photovoltaic plants by using time-series historical weather data
Published 2018“…In contrast to existing methods, planning for DGs by using weather data provided more realistic results for DSPP in distribution networks. …”
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14
Secure policies for the distributed virtual machines in mobile cloud computing
Published 2020“…It enhances the grants access authorization for permitted distributed intensive applications’ tasks. Furthermore, an algorithm that enables secure communication among distributed VMs and protection of sensitive data in VMs on the cloud is proposed. …”
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15
A parametric mixture model of three different distributions: An approach to analyse heterogeneous survival data
Published 2014“…A parametric mixture model of three different distributions is proposed to analyse heterogeneous survival data.The maximum likelihood estimators of the postulated parametric mixture model are estimated by applying an Expectation Maximization Algorithm (EM) scheme.The simulations are performed by generating data, sampled from a population of three component parametric mixture of three different distributions. …”
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Parallel execution of distributed SVM using MPI (CoDLib)
Published 2023Subjects: “…Distributed SVM…”
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Variational Bayesian inference for exponentiated Weibull right censored survival data
Published 2023“…The exponential, Weibull, log-logistic and lognormal distributions represent the class of light and heavy-tailed distributions that are often used in modelling time-to-event data. …”
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18
Modified sequential fences for identifying univariate outliers
Published 2016“…The existence of outliers in data set can bring some impacts on statistical data analysis and affect decision making. …”
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19
A novel binary vote assignment grid quorum algorithm for distributed database fragmentation
Published 2011“…We address how to build reliable system by using the proposed BVAGQ algorithm for distributed database fragmentation. The result show that managing replication and transaction through proposed BVAGQ able to prepare data consistency.…”
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20
Dynamic replication aware load blanced scheduling in distributed environment / Said Bakhshad
Published 2018“…Grid computing is an effective distributed and adaptable processing network that manages a huge number of data applications. …”
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