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Statistical analysis

OPTIMIZATIONS OF MULTI-CHANNEL BINAURAL FORMATS BASED ON STATISTICAL ANALYSIS

OPTIMIZATIONS OF MULTI-CHANNEL BINAURAL FORMATS BASED ON STATISTICAL ANALYSIS

... Linear decomposition of Head Related Transfer Functions (HRTFs) through statistical analysis allows defining multi-channel intermediate formats for binaural rendering of audio scenes. The context of ...

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A detailed approach for the classification and statistical analysis of irradiation induced defects

A detailed approach for the classification and statistical analysis of irradiation induced defects

... The analysis of irradiation induced damage is complicated due to the great diversity of defects that may exist. In this work we present some criteria for the detailed classification and statistical ...

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Operational modal analisys using joint statistical analysis of multiple records

Operational modal analisys using joint statistical analysis of multiple records

... Modal Analysis (OMA) of a structure, the data acquisition process may be repeated many ...modal analysis of the structure that have been obtained at di ff erent time instants (multiple ...reasons: ...

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Avalanches in Out of Equilibrium Systems: Statistical Analysis of Experiments and Simulations

Avalanches in Out of Equilibrium Systems: Statistical Analysis of Experiments and Simulations

... and statistical laws apparently independent on space, time and underlying driving mechanism [Kagan, 1999] engaged a parallel development of Earth’s physics in both reductionist and holistic approaches (see C ...

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Statistical analysis of the connection between sleep apnea and speech

Statistical analysis of the connection between sleep apnea and speech

... Error correction. To guarantee a reliable estimation, we have measured the absolute differences between estimated values obtained from Praat and Snack for each formant F 1 to F 3 . We then man- ually reviewed those cases ...

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Regularization for sparsity in statistical analysis and machine learning

Regularization for sparsity in statistical analysis and machine learning

... In summary, this chapter investigates the effect of different types of nonlinearity to improve spike firing rate prediction for averaged trials. Firstly, the use of regression splines methods (MARS and SpAM) aims to deal ...

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Anomalous behavior identification using statistical analysis of large scale user interaction data

Anomalous behavior identification using statistical analysis of large scale user interaction data

... of statistical analysis of large scale user interaction data into a user centered design process, presented by the authors in an earlier work [1], can significantly improve the chance of identifying ...

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Statistical Analysis of SNR in Chirped pulse ΦOTDR

Statistical Analysis of SNR in Chirped pulse ΦOTDR

... The statistical properties of the SNR of phase-measuring ΦOTDR sensors have been recently evaluated, concluding that the sensitivity of these sensors (defined as the minimum input signal required to reach a ...

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Classification of samples with order restricted discrimination rules  Statistical Analysis in Proteomics

Classification of samples with order restricted discrimination rules Statistical Analysis in Proteomics

... for statistical computing that runs on a broad variety of platforms including UNIX, Windows and ...sharing statistical software, which makes it highly extensible through user-created packages, and can be ...

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Statistical analysis of the Fourier Spectra of the ENCODE regulatory regions

Statistical analysis of the Fourier Spectra of the ENCODE regulatory regions

... Nowadays, new genomic databases (DNA sequences) are available to the whole scientist community for its analysis. The bioinformatics has developed algorithms to extract information and features of the sequences. ...

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General Linear Models for Pain Prediction in Knee Osteoarthritis: Data from the Osteoarthritis Initiative

General Linear Models for Pain Prediction in Knee Osteoarthritis: Data from the Osteoarthritis Initiative

... features each. Each one of these models evolved throughout 200 generations, replicating, recombining and mutating from a set of models with random features, optimizing for its accuracy, obtained using a 3 ≠ f old cross ...

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Climatic analysis linked to land vegetation cover of Mexico by applying multivariate statistical and clustering analysis

Climatic analysis linked to land vegetation cover of Mexico by applying multivariate statistical and clustering analysis

... the statistical analysis of long-term meteorological ...these statistical analyses, based on eigen techniques, represents an alternative that can be used to generate reproducible climatic maps ...

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Modelos de transicin en presencia de prdidas intermitentes:  implementacin y ejemplo de aplicacin a un ensayo clnico cubano

Modelos de transicin en presencia de prdidas intermitentes: implementacin y ejemplo de aplicacin a un ensayo clnico cubano

... The present work offers a useful tool for fitting transition models under the problematic scenario of intermittent missing data patterns in collected longitudinal data. A solution to this problem is given using the ...

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APLICACIÓN DE HERRAMIENTAS ESTADÍSTICAS PARA EL ANÁLISIS DE INDICADORES/APPLICATION OF STATISTICAL TOOLS FOR INDICATORS ANALYSIS

APLICACIÓN DE HERRAMIENTAS ESTADÍSTICAS PARA EL ANÁLISIS DE INDICADORES/APPLICATION OF STATISTICAL TOOLS FOR INDICATORS ANALYSIS

... for statistical analysis of Quality Management System indicators as a method to ensure continuous ...series analysis and linear correlation ...

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Analysis of Gaussian Quadratic Forms with Application to Statistical Channel Modeling

Analysis of Gaussian Quadratic Forms with Application to Statistical Channel Modeling

... Although useful in some cases (e.g., the sum of independent and identically dis- tributed random variables), Edgeworths series have important flaws. First, as with the saddle-point method, the approximated functions are ...

129

Statistical and optimization methods for spatial data analysis applied to neuroscience

Statistical and optimization methods for spatial data analysis applied to neuroscience

... The assumption that the distribution of synapses in the neuropil of layers I to VI follows an RSA model with different intensities (synaptic densities) per layer has several interesting implications. First, the position ...

189

TítuloStatistical Applications to Thermal Analysis

TítuloStatistical Applications to Thermal Analysis

... the statistical point of view) whereas the numerical values of the corresponding Arrhenius parameters crucially differ (Vyazovkin ...Thermal Analysis and Calorimetry (ICTAC) in Philadelphia, USA, in 1996, ...

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Inferring the connectivity of coupled oscillators from time-series statistical similarity analysis

Inferring the connectivity of coupled oscillators from time-series statistical similarity analysis

... a statistical similarity analysis of the time-series collected from the dynamics of the ...linear statistical similarity ...linear statistical similarity measure performs, in general, better ...

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Stochastic earned value analysis using Monte Carlo simulation and statistical learning techniques

Stochastic earned value analysis using Monte Carlo simulation and statistical learning techniques

... The aim of this paper is to describe a new integrated methodology for project control under uncertainty. This proposal is based on Earned Value Methodology and risk analysis and presents several refinements to  ...

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Chapter 1. Introduction of Inferential Statistics for Education. 2018

Chapter 1. Introduction of Inferential Statistics for Education. 2018

... and analysis of the data, transforming it into ...and analysis of research in education, and provides an overview of basic and general knowledge of various research ...

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