[PDF] Top 20 Information dissemination processes in directed social networks
Has 10000 "Information dissemination processes in directed social networks" found on our website. Below are the top 20 most common "Information dissemination processes in directed social networks".
Zero-Inflated Mixed Poisson Regression Models
... the regression analysis to try to understand the relationship be- tween a count data with zeros excess and its potential explanatory variables, leading us to build regression structures for the three ... Voir le document complet
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Analysis of dental caries using generalized linear and count regression models
... Normal, Poisson, Binomial, Negative Binomial etc.) and referred to as zero infl ated (Heilbron, 1994, Tu, 2002) because of number of extra zeros caused by the real effect on caries distribution of interest ... Voir le document complet
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Models for inflated data applied to credit risk analysis
... on zero-inflated survival data for the purposes of dealing with propensity to default (credit risk) in bank loan ...accommodate zero-inflated times, which is not possible in the standard cure rate model ... Voir le document complet
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Assessment and Selection of Competing Models for Zero-Inflated Microbiome Data.
... large inflated type I errors (e.g., Poisson model or PH/ZIP model for ZINB distrib- uted data) are not included in these ...part models vary across different methods and simulation ...part ... Voir le document complet
7
Zero-inflated Poisson regression models for QTL mapping applied to tick-resistance in a Gyr x Holstein F2 population
... the regression approach described by Haley et ...linear models (GLM) for count data (McCullagh and Nelder, 1989), more specifically to Pois- son, Zero-Inflated Poisson (ZIP) and ... Voir le document complet
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A study of the score test in discrimination poisson and zero-inflated poisson models
... the Poisson average rate from the θ = 5 to θ = 10 led to different results regarding the occurrence rate of Type I error, and, in the initial (θ = 5) the probability of type I error was close to the nominal level ... Voir le document complet
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Comparison of Mixture and Classification Maximum Likelihood Approaches in Poisson Regression Models
... of Poisson regression ...the regression coefficients and the mixture proportion have relatively small MSE and, in generality, the MSE of EM estimates are smaller than the MSE of CEM ...approach ... Voir le document complet
Identifying small market segments with mixture regression models
... number of parameters associated to a solution with S clusters and d is some constant or the “marginal cost” per parameter (Bozdogan, 1987). Information Criteria are a general family, including criteria that are estimates ... Voir le document complet
Buffalos milk yield analysis using random regression models
... that models with polynomial adjustments from second to fourth order, adopting four residual classes, described the variation of this effect in a similar way along the ... Voir le document complet
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Cubic-spline interpolation to estimate effects of inbreeding on milk yield in first lactation Holstein cows
... linear regression and fixed factor models, but also the best cubic-spline model for comparing estimates of the effects of inbreeding on milk yield and of variance com- ponents and ... Voir le document complet
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MEASUREMENT ERROR EFFECT ON THE POWER OF CONTROL CHART FOR ZERO-TRUNCATED POISSON DISTRIBUTION
... . Usually K is taken as 3 for the calculat ion of control limits (Montgomery, 2013) as it covers at least 99.73% of samp les which is based on Shewhart's cla im that control limits at 3 standard errors are the most ... Voir le document complet
3
Dental Press J. Orthod. vol.21 número3
... Objective: Evidence is contradictory regarding the association between oronasopharyngeal abnormalities and malocclusion. The aim of the present study was to assess the association between oronasopharyngeal abnormalities ... Voir le document complet
7
Regression Models for Predicting Force Coefficients of Aerofoils
... However, it was found out that the difference in the actual values of the lift and drag coefficients (in these zones) and that estimated by the trigonometric functions in these zones were giving reasonably good fit when ... Voir le document complet
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Estimação Clássica e Bayesiana para relação espécie-área com Distribuições Truncadas no Zero
... nonlinear models without assuming any distribution for the ...the zero truncated Poisson distribution (ZTP) and zero truncated Negative Binomial (ZTNB) to represent the probability ... Voir le document complet
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Progress on the maternal mortality ratio reduction in Wuhan, China in 2001-2012.
... joinpoint regression to identify the number of join points and tested whether a multi-segmented line was a significantly better fit than a straight or less-segmented ...joinpoint regression and multivariate ... Voir le document complet
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Variance Components Estimation In Mixed Linear Models
... to mixed models with balanced data and save the unbiasedness, it does not adapt in situation with unbalanced data (mostly because it uses computations derived from fixed effect models rather than ... Voir le document complet
117
Estimation in mixed models through three step minimization
... In order to compare the estimates of the variance components obtained through the TSM, and the ones obtained through the NR and FS, using simulated data and with one variance component close to zero, we considered ... Voir le document complet
Rev. Saúde Pública vol.43 número1
... the regression equations were, however, constructed using data from a large sample with low prevalence of ...the regression models cannot be applicable to children of all ... Voir le document complet
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Methods to verify parameter equality in nonlinear regression models
... a regression analysis was performed on each experimental unit, then a data set of ten values was used, with seven df in error; from these analyses, 16 estimates of α-parameter are obtained, that were submitted to ... Voir le document complet
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Likelihood-based Inference for Multivariate Regression Models using Synthetic Data
... linear regression model where there are multiple sensitive responses variables follow- ing a multivariate normal distribution with expected values modeled as linear combinations of multiple non-sensitive ...linear ... Voir le document complet
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