regression approach
Modeling the Percentage of Poor People in Indonesia Using Spline Nonparametric Regression Approach
... parametric regression approaches such as linear regression, quadratic or ...nonparametric regression approach with two points knots, very decent used to model the percentage of poor people in ...
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A Bayesian Logistic Regression approach in Asthma Persistence Prediction
... logistic regression approach tend to mimic a Maximum Likelihood approach, but we must observe that this non – informative approach on parameters of the scores is not non – informative on the ...
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Determinants of the Italian labor productivity: a quantile regression approach
... words, there exist a level above which the cost of hiring new skilled workers turns out to be higher than the benefits the firms receive in terms of higher sales per worker (Giovannetti et al., 2011). Patents registered ...
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A quantile regression approach to bank efficiency measurement
... quantile regression approach allows efficient or almost efficient banks to employ production relations that may differ strongly from the ones of average or low efficiency banks, and in a sense it provides ...
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Demand for International Reserves: A Quantile Regression Approach
... I regress several other measures of international reserves on the buffer stock variables to see if the results are robust. Figure 2 presents a graphical summary of the quantile regression results when four ...
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Identifying rare variants using a Bayesian regression approach
... average regression coefficients and PPAs for each SNP from the 200 data ...the regression coefficients and PPAs to compute a series of true-positive rates (TPRs) and false-positive rates ...
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A functional regression approach to facial landmark tracking
... Abstract—Linear regression is a fundamental building block in many face detection and tracking algorithms, typically used to predict shape displacements from image features through a linear ...Functional ...
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Comments on the weighted regression approach to missing values
... Although the exact small sample variance formula given by Conniffe 1983 can be applied to 16 there is no corres ponding algebraic formula for the estimator corresponding to 15 so a simu[r] ...
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A neighborhood regression approach for removing multiple types of noises
... We recommend d = 5 to be the optimal choice, since further increase in d adds little gain in PSNR and SSIM while doubling the regression model size. Since the average denoised PSNR and SSIM for these four types of ...
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The evaluation of University educational processes: a quantile regression approach
... Each regression coefficient measures the change of the degree mark deriving from a modification of the corresponding student feature fixing all the others. By performing both the analysis it is possible to gain a ...
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Machine Learning Regression Approach to the Nanophotonic Waveguide Analyses
... Neural networks have a tendency to closely or exactly fit a particular set of data during training, but may fail to predict the future observations reliably, which is known as overfitting. During overfitting, the model ...
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A note on the empirical test of herding: a threshold regression approach
... threshold regression method developed by Hansen [2000] to standard CSAD regressions, in order to capture a non-linear effect of extreme market movement on the herding ...
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Personality traits as an engine of knowledge: A quantile regression approach
... In the case of Model 1 (OLS) it is evident that nearly all the estimated coefficients are statistically significant. Specifically, the coefficient of conscientiousness is positive as one would have expected, while ...
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Determinants of Tanzania Exports: A Panel Data Regression Approach.
... The study examined determinants of Tanzanian exports under both static and dynamic environment using panel data regression model. It has been found that countries East African Community stands a high chance of ...
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The effect of foreign aid on corruption: A quantile regression approach
... Unlike the previous studies, this paper contributes to the literature by investigating the effect of foreign aid on corruption in recipient countries using the quantile regression (QR) methodology de- veloped by ...
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The distributive effects of education: an unconditional quantile regression approach
... Finally, RIF regressions results for the Gini coefficient (last column of Table 3.3) are interesting. First, in order to obtain comparable results, the regression is estimated using levels of wages, not logs as in ...
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An Empirical Analysis of Effective Customers Service on Nigeria Banks Profitability. (A Queuing and Regression Approach)
... 867 Stuart and Tax (2004) argued that the customer experience can be enhanced by designing the service system to encourage greater active customer participation. Bate and Robert (2007) introduced an approach which ...
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A logistic regression approach to content based mammogram retrieval
... Maximum a-posteriori estimation, which is maximizing the likelihood through the choice of the parameter esti- mates, is used to obtain estimates of the parameters for logistic regression. In this study, the ...
7
Capital structure and board of directors: a quintile regression approach
... our approach, Fattouh et al. (2005) employ quantile regression to study determinants of capital ...following regression equation at five quantiles (namely ...
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Modeling Human Capital Impact on the Development of the Iraqi Oil Industry
... best regression equations in particular, fitting all possible regression approach and stepwise regression approach which comprise between the forward selection procedure and backward ...
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