Data analysis and parameter estimation
Gravitational waves: search results, data analysis and parameter estimation
... seven-dimensional parameter space, can be mapped to the two-dimensional subspace of non- precessing binaries, character- ized by the mass ratio and a single effective total ...with parameter biases in the ...
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A Comparative Study On Parameter Estimation Methods For Big Data Analysis Based On Random Sample
... Big Data, Big Data Parameters, Estimation Method, Sampling Techniques, Internet of Things, ...big data environment, millions of files with different characteristics are frequently generating ...
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A parameter estimation method for fluorescence lifetime data
... of parameter values. We also performed the same analysis on data obtained from a fluorescence lifetime experiment using the fluorophore ...real data analysis, fitting the biexponential ...
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A Bayesian parameter estimation approach to pulsar time-of-arrival analysis
... Bayesian data analysis techniques to the problem of pulsar ...pulsar parameter estimates from a single simulated ...as data is recorded it is often reduced (in terms of data volume) by ...
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FDR data as a source for flying events visualisation and aircraft parameter estimation
... flight data to investigate major accidents and require highly accurate and flexible ...Flight Data Analysis (FDA) programs, essentially proactive systems to exploit recorded flight data on a ...
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Parameter estimation for text analysis
... Bayesian parameter esti- mation in the discrete domain, which is necessary to understand the inner workings of topic-based text analysis approaches like probabilistic latent semantic analysis (PLSA) ...
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Sensitivity analysis with respect to observations in variational data assimilation for parameter estimation
... variational data assimilation problem aimed at the re- construction of unknown parameters of the ...variational data assimilation problem related to sea sur- face temperature for the Baltic Sea ...
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Applying PEST (Parameter ESTimation) to improve parameter estimation and uncertainty analysis in WaterCAST models
... ‘preferred’ parameter values has forced the modellers to more critically review the existing data and knowledge pertaining to the system being ...about parameter sensitivity in a way that was ...
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FOREST PARAMETER ESTIMATION BY LIDAR DATA PROCESSING
... Abstract: An airborne optical remote-sensing technology, similar to RADAR, which can also be defined by another two words: laser and receiver system, LIDAR offers several advantages over the conventional methods of ...
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Garch Parameter Estimation Using High Frequency Data
... There are four expiration months: March, June, September, and December. We use the most actively-traded contract: we roll to a next expiration as soon as the tick volume for the next expiration is larger than for the ...
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Garch Parameter Estimation Using High-Frequency Data
... There are four expiration months: March, June, September, and December. We use the most actively-traded contract: we roll to a next expiration as soon as the tick volume for the next expiration is larger than for the ...
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RELIABILITY PARAMETER ESTIMATION AND ANALYSIS FOR ELECTRICAL UPS SYSTEM
... after analysis of Arrhenius model we can approach for risk assessment analysis and follow the above approach related to ...detailed analysis can be combined with system reliability confidence limits ...
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Experimental analysis of PQ parameter estimation of VFD drives
... the analysis of frequency converter fed ...and data acquisition has been started and recorded for 5 ...is data is stored in fluke power analyser SD ...to analysis the data. Eighth step ...
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Parameter Estimation for Groundwater Models under Uncertain Irrigation Data
... the analysis to groundwater draw- down and stream depletion problems caused by multiple and cyclic pumping ...irrigation data derived from the Republican River Compact Administration (RRCA) MODFLOW model, ...
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Data assimilation for morphodynamic model parameter estimation: a hybrid approach.
... corresponding parameter A and n updates are shown in figures ...the parameter updating for a second test case in which the situation is reversed so that A is underestimated (A 0 = ...of parameter A ...
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Analysis of Estimation Parameter for Energy Efficient in Wireless Sensor Network
... out third one is performed best for network lifetime and the first one is the worse but less signaling overhead. 3 . PROBLEM DEFINATION Due to the constraints in Wireless sensor networks such as bandwidth, lifetime of ...
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Parameter estimation and stability analysis of gene-regulation network of bacteriophage
... noise data is a challenging problem[13]. Here, parameter estimation was performed using the Ensemble Kalman Filter(EnKF), which is capable of dealing with high-dimensional nonlinear systems ...and ...
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Parameter Estimation and Quantitative Parametric Linkage Analysis with GENEHUNTER-QMOD
... distributed data, whereas the VCA is only able to control the type I error if normality ...‘difficult’ data, meaning non- normally distributed phenotypes or phenotypes with genotype-dependent residual ...
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Data Fusion: Using Multiple Data Sources to Improve Demographic Parameter Estimation in Ecology.
... in analysis of the distance sampling data ...time-to-removal data to separate the three primary components of ...continued data collection including methods that integrate across different ...
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Parameter estimation of the modified Weibull model based on grouped and censored data
... reliability analysis, tests can be performed for units or systems either on complete data or grouped ...grouped data are more frequently, since they, generally, cost less and require fewer ...
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