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Elham Mirfarah
Elham Mirfarah
School of Mathematics and Statistics, University of St Andrews
Verified email at st-andrews.ac.uk - Homepage
Title
Cited by
Cited by
Year
Mixture of linear experts model for censored data: A novel approach with scale-mixture of normal distributions
E Mirfarah, M Naderi, DG Chen
Computational statistics & data analysis 158, 107182, 2021
162021
Pitman-closeness of preliminary test and some classical estimators based on records from two-parameter exponential distribution
E Mirfarah, J Ahmadi
Journal of Statistical Research of Iran JSRI 11 (1), 73-96, 2014
92014
Robust mixture regression modeling based on the normal mean-variance mixture distributions
M Naderi, E Mirfarah, WL Wang, TI Lin
Computational Statistics & Data Analysis 180, 107661, 2023
52023
Semiparametric inference for the scale-mixture of normal partial linear regression model with censored data
M Naderi, E Mirfarah, M Bernhardt, DG Chen
Journal of Applied Statistics 49 (12), 3022-3043, 2022
32022
Comparison of preliminary test estimators based on generalized order statistics from proportional hazard family using Pitman measure of closeness
J Ahmadi, E Mirfarah, A Parsian
Communications in Statistics-Theory and Methods 46 (7), 3200-3216, 2017
22017
Pitman closeness of -records from two sequences to progressive Type-II censored order statistics
E Mirfarah, J Ahmadi
Computational Statistics 29 (5), 1279-1300, 2014
22014
Multivariate measurement error models with normal mean‐variance mixture distributions
E Mirfarah, M Naderi, TI Lin, WL Wang
Stat, e503, 2022
12022
Robust Bayesian Pitman closeness
J Ahmadi, E Mirfarah, A Parsian
Metrika 79 (6), 671-691, 2016
12016
Closeness of k-records to Progressive Type-II Censored Order Statistics for Location-scale Families
E Mirfarah, J Ahmadi
Communications in Statistics-Theory and Methods 43 (10-12), 2169-2182, 2014
12014
Optimum routing and scheduling for estimation in wireless sensor networks
AH Mohajerzadeh, V Fakoor, MH Yaghmaee, E Mirfarah
2012 2nd International eConference on Computer and Knowledge Engineering …, 2012
12012
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