Search Results - "Barrios, Erniel B"
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Corrigendum to “Effects of Canned Pineapple Consumption on Nutritional Status, Immunomodulation, and Physical Health of Selected School Children”
Published in Journal of nutrition and metabolism (2019)“…In the article titled “Effects of Canned Pineapple Consumption on Nutritional Status, Immunomodulation, and Physical Health of Selected School Children” [1],…”
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Effects of Nutrient-Fortified Milk-Based Formula on the Nutritional Status and Psychomotor Skills of Preschool Children
Published in Journal of nutrition and metabolism (01-01-2017)“…This randomized, single-masked, controlled trial examined the effects of nutrient-fortified milk-based formula supplementation on nutritional status, nutrient…”
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3
Nonparametric Test for Volatility in Clustered Multiple Time Series
Published in Computational economics (01-02-2024)“…Contagion arising from clustering of multiple time series like those in the stock market indicators can further complicate the nature of volatility, rendering…”
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Effects of Canned Pineapple Consumption on Nutritional Status, Immunomodulation, and Physical Health of Selected School Children
Published in Journal of Nutrition and Metabolism (01-01-2014)“…This randomized, controlled trial examined the effects of canned pineapple consumption on immunomodulation, nutritional status, and physical health of…”
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Robust estimation of a multilevel model with structural change
Published in Communications in statistics. Simulation and computation (21-04-2018)“…We postulate a spatiotemporal multilevel model and estimate using forward search algorithm and MLE imbedded into the backfitting algorithm. Forward search…”
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Nonparametric hypothesis testing in clustered survival model
Published in Communications in statistics. Simulation and computation (21-10-2017)“…A nonparametric test for the presence of clustering in survival data is proposed. Assuming a model that incorporates the clustering effect into the Cox…”
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Estimation Under Purposive Sampling
Published in Communications in statistics. Simulation and computation (01-07-2006)“…Purposive sampling is described as a random selection of sampling units within the segment of the population with the most information on the characteristic of…”
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Improving predictive accuracy of logistic regression model using ranked set samples
Published in Communications in statistics. Simulation and computation (02-01-2017)“…Logistic regression is often confronted with separation of likelihood problem, especially with unbalanced success-failure distribution. We propose to address…”
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Nonparametric modeling of clustered customer survival data
Published in Communications in statistics. Simulation and computation (02-01-2017)“…We incorporate a random clustering effect into the nonparametric version of Cox Proportional Hazards model to characterize clustered survival data. The…”
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Semiparametric principal component poisson regression on clustered data
Published in Communications in statistics. Simulation and computation (07-02-2017)“…In modeling count data with multivariate predictors, we often encounter problems with clustering of observations and interdependency of predictors. We propose…”
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Nonparametric estimation of a switching regression model
Published in Communications in statistics. Simulation and computation (07-02-2017)“…High-dimensional data often exhibit multi-collinearity, leading to unstable regression coefficients. To address sample selection bias and problems associated…”
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Robust simultaneous confidence interval estimation of principal component loadings
Published in Communications in statistics. Simulation and computation (07-02-2019)“…We propose a method that integrates bootstrap into the forward search algorithm in the construction of robust confidence intervals for elements of the…”
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Glycaemic Response to Quality Protein Maize Grits
Published in Journal of Nutrition and Metabolism (01-01-2010)“…Background. Carbohydrates have varied rates of digestion and absorption that induces different hormonal and metabolic responses in the body. Given the…”
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Infrastructure and rural development: Household perceptions on rural development
Published in Progress in planning (01-07-2008)“…This paper proposes a household model that relates various development interventions, such as infrastructure, to rural development. The model is then estimated…”
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Robust estimation of a dynamic spatio-temporal model with structural change
Published in Journal of statistical computation and simulation (11-02-2017)“…We postulate a dynamic spatio-temporal model with constant covariate effect but with varying spatial effect over time and varying temporal effect across…”
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Principal components analysis of nonstationary time series data
Published in Statistics and computing (01-06-2009)“…The effect of nonstationarity in time series columns of input data in principal components analysis is examined. Nonstationarity are very common among economic…”
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Control Chart for Monitoring Autocorrelated Process with Multiple Exogenous Inputs
Published in Communications in statistics. Simulation and computation (20-10-2016)“…We propose to use AR-Sieve Bootstrap in the construction of a control chart of an autocorrelated process influenced by multiple exogenous inputs. The control…”
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Estimation Procedure for a Multiple Time Series Model
Published in Communications in statistics. Simulation and computation (26-11-2014)“…Given a multiple time series sharing common autoregressive patterns, we estimate an additive model. The autoregressive component and the individual random…”
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Robust estimation of a time series model with structural change
Published in Journal of statistical computation and simulation (01-07-2011)“…A procedure for estimating a time series model with structural change is proposed. Nonparametric bootstrap (block bootstrap or AR sieve) is applied to a series…”
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Robust Estimation of a Spatiotemporal Model with Structural Change
Published in Communications in statistics. Simulation and computation (01-03-2011)“…A spatiotemporal model is postulated and estimated using a procedure that infuses the forward search algorithm and maximum likelihood estimation into the…”
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