Sign inSubmit
Tips: “quotes” for a phrase · author:Lee · a DOI goes straight to its article

9 results for “Latent variables”
Set a search alert
Research ArticleOpen accessIn the keywordsExistence and Uniqueness Conditions for the Maximum Likelihood Solution In Regression Models For Correlated Bernoulli Random VariablesDavid Todem, KyungMann KimWe give sufficient and necessary conditions for the existence of the maximum likelihood estimate in a class of multivariate regression models for correlated Bernoulli random variables. The models use the concept of threshold crossing technique of an underlying multivariate latent variable with univariate components formulated as a linear regression model. However, in place of their Gaussian assumptions, any specified distribution … …Journal of Mathematics and Statistics, Vol. 3, Issue 3 · 30 Sep 2007 · 6,838 accessesView PDFCite
Research ArticleOpen accessIn the abstractStructural Equation Model (SEM) for Evaluating Factors Affecting ICT4D Project SuccessHouda Fakhkhari, Bouchaib Bounabat, Maria BennaniInformation Communication Technology for Development (ICT4D) enables organizations to transform and evolve. Despite the contributions of methodologies and models for project management, the number of failed ICT4D projects remain high; as a consequence, researching crucial success factors of ICT4D projects remains an important matter for practitioners and researchers. Studies and researches on factors impacting ICT4D projects' success are various, fragmented … …Journal of Computer Science, Vol. 17, Issue 8 · 8 Sep 2021 · 7,080 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparison of Probit and Logistic Regression Models in the Analysis of Dichotomous OutcomesAmrutha Jose, Mariyamma Philip, Lavanya Tumkur Prasanna, M. ManjulaProbit and logistic regression models are members of the family of generalized linear models, used for estimating the functional relationship between the dichotomous dependent and independent variables. The current study is designed to find the performance of logistic and probit regression models in different conditions under multivariate normality. The objective of the study is to compare the performance of probit … …Current Research in Biostatistics, Vol. 10, Issue 1 · 26 Mar 2020 · 17,036 accessesView PDFCite
Research ArticleOpen accessIn the abstractBayesian Models for Time Series with Covariates, Trend, Seasonality, Autoregression and OutliersPitsanu Tongkhow, Nantachai KantananthaBayesian methods furnish an attractive approach to time series data analysis. This article proposes the forecasting models that can detect trend, seasonality, auto regression and outliers in time series data related to some covariates. Cumulative Weibull distribution functions for trend, dummy variables for seasonality, binary selections for outliers and latent autoregression for autocorrelated time series data are used for the … …Journal of Computer Science, Vol. 9, Issue 3 · 16 Apr 2013 · 6,653 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Qualitative Analysis of Independent Component Analysis Based Algorithms for the Removal of Artifacts from Electroencephalography SignalsBalaiah Paulchamy, Ilavennila, Jayabalan JayaProblem statement: Independent Component Analysis (ICA) based algorithms applied in the context to remove the artifacts from the EEG signals are evaluated with appropriate metrics and it compares and contrasts the performance of the different methods for such applications. The primary goal is to gain some insight into relative performance of the various methods. Approach: CA is a statistical and … …Journal of Computer Science, Vol. 8, Issue 3 · 6 Jan 2012 · 6,983 accessesView PDFCite
Research ArticleOpen accessIn the abstractFactors Influencing the Design of Electronic learning system in Agricultural ExtensionAmir Ahmadpour, Mehdi Mirdamadi, Jamal F. Hosseini, Mohamad ChizariProblem statement: Nowadays appropriate training and education are important. Still some organizations make the mistake of not training their employees adequately in the utilization of ICT or in the use of internet information systems, often due to the cost of providing training and the loss in productivity when employees are absent. But many organizations have adopted e-learning as a solution … …American Journal of Agricultural and Biological Sciences, Vol. 5, Issue 2 · 25 Aug 2011 · 7,990 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Pattern of Local Community-Based Management for Sustainable Rural Development in West Azarbaijan ProvinceLoghman Rashidpour, Seyed Jamal Farajallah Hosseini, Mohammad Chizari, Seyed Mahdi MirdamadiProblem Statement: Community-based management as incorporates both a top-down and bottom-up approach that involvement beneficiary sections such as local community, government states and non governmental organizations. It has also been applied to designate approaches where local communities play a central but not exclusive role in rural sustainable development process management. Approach: This study was survey method and is descriptive-correlation research, … …American Journal of Agricultural and Biological Sciences, Vol. 5, Issue 1 · 31 Mar 2010 · 8,011 accessesView PDFCite
Research ArticleOpen accessIn the abstractFactors Influencing the Development of Entrepreneurial Education in Iran's Applied-Scientific Educational Centers for AgricultureBaharak. Azizi, Jamal F. Hosseini, Mahmood. Hosseini, Mehdi. MirdamadiProblem statement: An understanding of factors influencing entrepreneurial education in Iran’s applied-scientific educational centers for agriculture is crucial for creating the new opportunities for students and encouraging them to involve in entrepreneurial activity. The purpose of this study was twofold. First, it determined the key factors that influence entrepreneurial education in Iran’s applied-scientific educational centers for agriculture. Second, the study … …American Journal of Agricultural and Biological Sciences, Vol. 5, Issue 1 · 31 Mar 2010 · 8,227 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Performance of Latent Root-M based RegressionHabshah Midi, Lau Ung HuaProblem statement: In the presence of multicollinearity, the estimation of parameters in multiple linear regression models by means of Ordinary Least Squares (OLS) is known to suffer severe distortion. An alternative approach was to use the modified OLS which was based on the latent roots and latent vectors of the correlation matrix of the independent and dependent variables. This procedure … …Journal of Mathematics and Statistics, Vol. 5, Issue 1 · 31 Mar 2009 · 8,654 accessesView PDFCite