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statistical characterization

Statistical Characterization of Bare Soil Surface Microrelief

Statistical Characterization of Bare Soil Surface Microrelief

... the characterization of clods, as recognizable structures presenting rather medium or high level values, with a high gradient on the edges and low height values on the boundary, we have defined four criteria, ...

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Statistical characterization of short wind waves from stereo images of the sea surface

Statistical characterization of short wind waves from stereo images of the sea surface

... these statistical values because long waves are poorly visible in the relatively small scene of ...the statistical properties of short waves at the sea surface without precise knowledge of the mean level ...

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An integrative approach based on probabilistic modelling and statistical inference for morpho-statistical characterization of astronomical data

An integrative approach based on probabilistic modelling and statistical inference for morpho-statistical characterization of astronomical data

... The natural way of modelling using the framework described by (2) is payed by the fact that Z d (θ) cannot be always computed in an analytical closed form. The solution to this drawback is to build MCMC simulation algo- ...

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Statistical Characterization of Round-Trip Times with Nonparametric Hidden Markov Models

Statistical Characterization of Round-Trip Times with Nonparametric Hidden Markov Models

... various statistical models for RTTs have been proposed in the literature, they either focus on short-time delay prediction with autoregressive models and recurrent neural networks [1], [2], [3], or on modelling ...

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Multivariate statistical characterization of groundwater quality in Ain Azel plain, Algeria

Multivariate statistical characterization of groundwater quality in Ain Azel plain, Algeria

... Multivariate statistical techniques including cluster and principal component analysis can successfully be used to derive information from the data set about the possible influences of the environment on ...

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Statistical Characterization of the Interference on the Return Link of a Broadband Satellite System

Statistical Characterization of the Interference on the Return Link of a Broadband Satellite System

... V. C ONCLUSIONS This work is a first step in the characterization of the interference environment on the return link of a broadband satellite communication. It has highlighted the benefits of characterizing the ...

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Statistical Characterization, Modelling and Classification of Morphological Changes in imp Mutant Drosophila Gamma Neurons

Statistical Characterization, Modelling and Classification of Morphological Changes in imp Mutant Drosophila Gamma Neurons

... 3 Institute of Biology Valrose, University of Nice Sophia Antipolis, Parc Valrose, Nice, France arazetti@unice.fr, xavier.descombes@inria.fr , {caroline.medioni, florence.besse}@unice.fr Keywords: Gamma neurons, ...

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Broadband and statistical characterization of echoes from random scatterers : application to acoustic scattering by marine organisms

Broadband and statistical characterization of echoes from random scatterers : application to acoustic scattering by marine organisms

... The study in Chapter 4 provided a first-order assessment of the applicability of broad- band echo pdf model in the analysis of data collected in the field by compar[r] ...

229

Multilevel array decomposition algorithm for fast statistical characterization of conformal arrays in the presence of excitation errors

Multilevel array decomposition algorithm for fast statistical characterization of conformal arrays in the presence of excitation errors

... Some statistical properties of radiation patterns such as averages can be deduced from those of the excitation ...Full statistical description can be obtained via Monte Carlo Type simulations at the cost of ...

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Statistical characterization of radiological contamination with small data samples

Statistical characterization of radiological contamination with small data samples

... radiological characterization of elements (walls, grounds, objects) from nuclear facilities whose contamination is not spatially structured (a geostatistical approach is then useless) and which are based on a ...

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A Multiscale Approach for Statistical Characterization of Functional Images

A Multiscale Approach for Statistical Characterization of Functional Images

... noting that ˆ g ℓ (w i ) := g( ˆ θ ℓ (i) , ˆ 6 ℓ (i) ; w i ) denotes the Gaussian likelihood of coefficient w i with estimated mean ˆ θ ℓ (i) and estimated variance ˆ 6 (i) ℓ . Complexity-Penalized Maximum Likelihood ...

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Application of multivariate statistical methods and inverse geochemical modeling for characterization of groundwater — A case study: Ain Azel plain (Algeria)

Application of multivariate statistical methods and inverse geochemical modeling for characterization of groundwater — A case study: Ain Azel plain (Algeria)

... Multivariate statistical methods and inverse geochemical modeling were jointly used to define the variation and the genetic origin of chemical parameters of groundwater in the Ain Azel plain, ...

1

Statistical potentials for evolutionary studies

Statistical potentials for evolutionary studies

... Protein sequences are the net result of the interplay of mutation, natural selection and stochastic variation. Probabilistic models of molecular evolution accounting for these processes have been substantially improved ...

217

Revised evidence for statistical standards

Revised evidence for statistical standards

... Revised evidence for statistical standards Andrew Gelman ∗ and Christian P. Robert † ‡ ∗ Department of Statistics, Columbia University, † Universit´ e Paris-Dauphine, CEREMADE, Paris, France, and ‡ Department of ...

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Statistical analyses of pressure signals, hydrogeologic characterization and evolution of Excavation Damaged Zone (claystone sites of Mont Terri and Tournemire)

Statistical analyses of pressure signals, hydrogeologic characterization and evolution of Excavation Damaged Zone (claystone sites of Mont Terri and Tournemire)

... Before these methods can be implemented, it is necessary to first pre- process the raw signals obtained from data acquisition devices. In this work, the raw signals were pre-processed using a number of techniques, aimed ...

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Statistical analyses of pressure signals, hydrogeologic characterization and evolution of Excavation Damaged Zone (claystone sites of Mont Terri and Tournemire)

Statistical analyses of pressure signals, hydrogeologic characterization and evolution of Excavation Damaged Zone (claystone sites of Mont Terri and Tournemire)

... Christophe Statistical analyses of pressure signals, hydrogeologic characterization and evolution of Excavation Damaged Zone (claystone sites of Mont Terri and ...

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Application of multivariate statistical methods and inverse geochemical modeling for characterization of groundwater—a case study: Ain Azel plain (Algeria)

Application of multivariate statistical methods and inverse geochemical modeling for characterization of groundwater—a case study: Ain Azel plain (Algeria)

... Multivariate statistical methods and inverse geochemical modeling were jointly used to define the variation and the genetic origin of chemical parameters of groundwater in the Ain Azel plain, ...

1

Statistical methods for descriptor matching

Statistical methods for descriptor matching

... rigorous statistical model and a hypothesis testing problem that seems to convey the main difficulties of shift testing: we assumed that the noise that corrupts the signals is additive and white ...

126

Contributions to Statistical Model Checking

Contributions to Statistical Model Checking

... To allow for the efficient analysis of probabilistic performance properties we pro- pose to work with Statistical Model Checking. One of the main contribution of the work is to provide an efficient implementation ...

156

On Statistical Model Checking with PLASMA

On Statistical Model Checking with PLASMA

... provide statistical evidence for the satisfaction or violation of the specification ...as statistical model checking (SMC) and is based on the notion that since sample runs of a stochastic system are drawn ...

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