Search Results - "Najarzadeh, Dariush"

The parsimonious Gaussian mixture models with partitioned parameters and their application in clustering by Olyaei, Niloofar Aslani Akhore, Khazaei, Mojtaba, Najarzadeh, Dariush

“…Cluster analysis is a method that identifies similar groups of data without any prior knowledge of the relevant groups. One of the most widely used clustering…”
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Testing for independence of sets of high-dimensional normal vectors using random projection approach by Najarzadeh, Dariush

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A simple test for zero multiple correlation coefficient in high-dimensional normal data using random projection by Najarzadeh, Dariush

“…The multiple correlation coefficient (MCC) is a measure of linear relationship between a given variable and a set of covariates. Testing the hypothesis of zero…”
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Conservative confidence intervals on multiple correlation coefficient for high-dimensional elliptical data using random projection methodology by Najarzadeh, Dariush

“…So called multiple correlation coefficient (MCC) is a measure of linear relationship between a given variable and set of covariates. In the multiple…”
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Simple tests on multiple correlation coefficient in high-dimensional normal data by Abusaleh, Somayeh, Najarzadeh, Dariush

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Testing equality of standardized generalized variances of k multivariate normal populations with arbitrary dimensions by Najarzadeh, Dariush

“…For a p -variate normal distribution with covariance matrix Σ , the standardized generalized variance (SGV) is defined as the positive p th root of | Σ | and…”
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Confidence intervals for product of powers of the generalized variances of k multivariate normal populations by Najarzadeh, Dariush

“…In this paper, some confidence intervals (CIs) for the product of powers of the generalized variances of k multivariate normal populations with possibly…”
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Testing equality of generalized variances of k multivariate normal populations by Najarzadeh, Dariush

“…Generalized variance is a measure of dispersion of multivariate data. Comparison of dispersion of multivariate data is one of the favorite issues for…”
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A Monte Carlo study on the ridge parameter of the seemingly unrelated ridge regression models by Mehdizadeh Esfanjani, Robab, Najarzadeh, Dariush, Jabbari Khamnei, Hossein, Hormozinejad, Farshin, Talebi, Mahnaz

“…The ridge regression approach can also be applied to deal with multicollinearity in the seemingly unrelated regression equations (SURE) models. However, to get…”
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Two-parameter ridge estimation in seemingly unrelated regression models by Esfanjani, Robab Mehdizadeh, Najarzadeh, Dariush, Khamnei, Hossein Jabbari, Hormozinejad, Farshin, Talebi, Mahnaz

“…Seemingly unrelated regression (SUR) models were applied when several linear regression equations were investigated at the same time. To reduce the…”
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Testing for equality of ordered eigenvectors of two multivariate normal populations by Najarzadeh, Dariush, Khazaei, Mojtaba, Ganjali, Mojtaba

“…Scatter plots for two multivariate normal data sets may suggest that the constant-density ellipsoid contours of underlying density functions have the same…”
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