Statistical techniques
Statistical techniques vs. SEES algorithm : an application to a small business environment
... There are a lot of research papers in Accounting on the topic of the application of induction systems to classification tasks. Most of them use also statistical techniques and compare the results. The most ...
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Machine learning and statistical techniques : an application to the prediction of insolvency in Spanish non-life insurance companies
... traditional statistical techniques which use financial ratios as explicative ...satisfy statistical assumptions, which complicates the application of the mentioned ...learning techniques (See5 ...
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Statistical Techniques for Aggregating Experiments Results
... Whereas statistical aggregation is the best way of combining the results of the experiments identified in a SR [Cochrane; 2008], these techniques cannot always be applied in the current experimental context ...
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Statistical techniques and algorithms applied in satellite communications antenna arrays for direction of arrival estimation and calibration
... KEYWORDS Antenna arrays, satellite communications, acquisition aid, spacecraft tracking, DoA estimation, calibration, TT&C, ground stations, launchers, LEOP, MUSIC, WSF, superresolution,[r] ...
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Alarm tree analysis using statistical techniques
... For this analysis, only the positive correlation greater than certain valué (threshold), are needed to draw a graph of relations between alarms. For the example, the correlations betw[r] ...
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Optimization of sanding parameters using response surface methodology
... RSM developed by Box and Draper (1987) is a collection of mathematical and statistical techniques. Central composite design (CCD) is an experimental design used to achieve determine optimum process ...
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... multivariate statistical techniques to evaluate data and draw conclusions about the similarities and dissimilarities existing between sampling sites and measured variables, as well as to identify variables ...
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Software size estimation in the early stages of development
... of statistical techniques on data from the L&S for a set of case studies helped to establish a linear regression model to estimate the functional size of a system from the number of symbols of the ...
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Modeling for Metabonomic Fingerprint Assignment in Olive Fruits
... Metabonomics provides a valuable and reliable tool for characterizing and classifying cultivars in a breeding program. Next step is to obtain a large data base from spectra obtained from a high number of samples so that ...
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Dynamic bayesian networks for rainfall forecasting
... these techniques are referred to as downscaling methods ...standard statistical techniques to model the relationship between gridded atmospheric patterns and local climate variables ...these ...
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On statistical theory of radar measurements
... using statistical inversion with arbitrary range and time resolution as shown by Virtanen et ...a statistical problem with a lin- ear model, determining an optimal radar transmission wave- form, ...optimal ...
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On Statistical Dynamics Of Evolving Markets
... Social and economic phenomena are highly complex. Yet, in the age of information, the scientific community has shown an increased focus on approaching these prob- lems from a multidisciplinary standpoint. Thus, the ...
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A statistical sampling strategy for iris recognition
... and techniques to deal with illumination variations, such as histogram equalization and feature characterization by average absolute ...uses statistical features, mean and standard deviations, from 2D ...
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a first course in statistical bayesian methods
... Bayesian statistical methods for their own data analysis ...advanced statistical researchers, although it is hoped that this latter category of readers could use this book as a quick introduction to ...
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A statistical equilibrium model of competitive firms
... the statistical equilibrium outcome of Proposition ...1994). Statistical equilibrium modeling thus excludes situations of system- wide collusion, which in any case should become increasingly difficult to ...
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Statistical study of neutron star glitches
... Despite the small number of glitches detected in individual pulsars, different efforts have been made to study the distributions of glitches and the correlations between sizes and inter-[r] ...
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Systematizing requirements elicitation technique selection
... Training in Elicitation Techniques Elicitation Experience Experience Elicitation Techniques Familiarity with Domain People per Session Consensus Informants Informant Inte[r] ...
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A simple model for estimating changes in rainfall erosivity caused by variations in rainfall patterns
... a statistical equation for computing event-based rainfall erosivity under changing precipitation patterns using the least amount of information ...a statistical relationship was ...
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Current and Emerging Techniques
... Recently, interest has returned to single-nucleotide polymorphisms (SNPs), of which RE polymorphisms are a subset. SNPs are di-allelic (although in prin- ciple there is no reason why a particular base could not be ...
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