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Trend Removal in Spatial Statistics Using Support Vector Regression |
P. 235-251 |
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Sareh Haddadi , Javad Etminan *  |
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Abstract
(4051 Views) |
چکیده |
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(2811 Downloads)
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Estimation of Linear Mixed Measurement Error Models in the Presence of Multicollinearity |
P. 253-274 |
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Fatemeh Ghapani , Babak Babadi *  |
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Abstract
(3283 Views) |
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(2419 Downloads)
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Analysis of Censored Data Using Dirichlet Process Mixture Model with Generalized Inverse Weibull Distribution as Kernel |
P. 275-298 |
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Bahram Haji Joudaki * , Reza Hashemi , Soliman Khazaei  |
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Abstract
(4105 Views) |
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(2534 Downloads)
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On the Mean Residual of Records in the Geometric Random Record Model |
P. 299-316 |
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Ali Khosravi Tanak * , M. Fashandi , J. Ahmadi , M. Najafi  |
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Abstract
(3964 Views) |
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(2296 Downloads)
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Multi-class Depth-based Classification for Multivariate Data |
P. 317-332 |
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Sara Bayat , Sakineh Dehghan *  |
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Abstract
(3772 Views) |
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(2425 Downloads)
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Application of Periodically Correlated Spatial Processes and Spatial Periodogram in Image Processing |
P. 333-348 |
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Behnam Amiri , Roya Nasirzadeh *  |
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Abstract
(3010 Views) |
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(2178 Downloads)
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Identification of Influential Observations for High-Dimensional Regression |
P. 349-369 |
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Nasrin Noori * , Hossein Bevrani  |
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Abstract
(2678 Views) |
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(1677 Downloads)
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Flexible Closed Skew Normal Random Field to Analysis Skew Spatial Data |
P. 371-388 |
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Omid Karimi , Fatemeh Hosseini *  |
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Abstract
(3461 Views) |
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(2223 Downloads)
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Double Penalized Mixed Effects Quantile Regression Modeling Using the Maximum Likelihood Approach |
P. 389-405 |
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Forouzan Jafari , Mousa Golalizadeh *  |
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Abstract
(3339 Views) |
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(1816 Downloads)
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Spatio-Temporal Analysis Based on One-Sided Dynamic Principal Components |
P. 407-431 |
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Najmeh Rezaeerad , Mahnaz Khalafi * , Mohsen Hoseinalizadeh , Majid Azimmohseni  |
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Abstract
(3258 Views) |
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(1753 Downloads)
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Bayesian Estimation of Multi-Component Reliability Parameter Under Adaptive Hybrid Progressive Censoring |
P. 433-458 |
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Fateme Sadat Mirsadooghi , Akram Kohansal *  |
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Abstract
(3277 Views) |
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(1798 Downloads)
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A New Approach in Using Random Support Vector Machine Cluster in Analyzing Prostate Cancer Gene Expression Data |
P. 459-476 |
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Nilia Mosavi * , Mousa Golalizadeh  |
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Abstract
(3073 Views) |
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(1701 Downloads)
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