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Communications in Statistics - Theory and Methods Volume 44, 2015 - Issue 11
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Original Articles

Asymptotic Properties and Variance Estimators of the M-quantile Regression Coefficients Estimators

Annamaria BianchiDepartment of Management, Economics and Quantitative Methods, Università di Bergamo, Bergamo, ItalyCorrespondence[email protected]
&
Nicola SalvatiDEM, Università di Pisa, Pisa, Italy
Pages 2416-2429 | Received 01 Nov 2012, Accepted 25 Mar 2013, Published online: 22 Jun 2015

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Kahina Ouadhi & Megdouda Ourbih-Tari. (2019) Monte Carlo simulation of ordinary least squares estimator through linear regression adaptive refined descriptive sampling algorithm. Communications in Statistics - Theory and Methods 48:4, pages 865-875.
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Articles from other publishers (13)

John Roger Otto, Shedrach Benjamin Pewan, Richard Crawford Edmunds, Felista Waithira Mwangi, Robert Tumwesigye Kinobe, Oyelola Abdulwasiu Adegboye & Aduli Enoch Othniel Malau-Aduli. (2023) Differential expressions of FASN, SCD, and FABP4 genes in the ribeye muscle of omega-3 oil-supplemented Tattykeel Australian White lambs. BMC Genomics 24:1.
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Setareh Ranjbar, Nicola Salvati & Barbara Pacini. (2023) Estimating heterogeneous causal effects in observational studies using small area predictors. Computational Statistics & Data Analysis 184, pages 107742.
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Partha Lahiri & Nicola Salvati. (2023) A nested error regression model with high-dimensional parameter for small area estimation. Journal of the Royal Statistical Society Series B: Statistical Methodology.
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Ben Sherwood & Shaobo Li. (2022) Quantile regression feature selection and estimation with grouped variables using Huber approximation. Statistics and Computing 32:5.
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Luca Merlo, Lea Petrella, Nicola Salvati & Nikos Tzavidis. (2022) Marginal M-quantile regression for multivariate dependent data. Computational Statistics & Data Analysis 173, pages 107500.
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Alexander Seipp, Verena Uslar, Dirk Weyhe, Antje Timmer & Fabian Otto‐Sobotka. (2021) Weighted expectile regression for right‐censored data. Statistics in Medicine 40:25, pages 5501-5520.
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Marco Alfò, Maria Francesca Marino, Maria Giovanna Ranalli, Nicola Salvati & Nikos Tzavidis. (2021) M-Quantile Regression for Multivariate Longitudinal Data with an Application to the Millennium Cohort Study. Journal of the Royal Statistical Society Series C: Applied Statistics 70:1, pages 122-146.
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Fabian Otto-Sobotka, Nicola Salvati, Maria Giovanna Ranalli & Thomas Kneib. (2019) Adaptive semiparametric M-quantile regression. Econometrics and Statistics 11, pages 116-129.
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Annamaria Bianchi, Enrico Fabrizi, Nicola Salvati & Nikos Tzavidis. (2018) Estimation and Testing in M-quantile Regression with Applications to Small Area Estimation. International Statistical Review 86:3, pages 541-570.
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Yunxia Sun, Huilin Gao & Fengri Li. (2017) Using Linear Mixed-Effects Models with Quantile Regression to Simulate the Crown Profile of Planted Pinus sylvestris var. Mongolica Trees. Forests 8:11, pages 446.
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Huilin Gao, Huiquan Bi & Fengri Li. (2017) Modelling conifer crown profiles as nonlinear conditional quantiles: An example with planted Korean pine in northeast China. Forest Ecology and Management 398, pages 101-115.
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Marco Alfò, Nicola Salvati & Ranalli M. Giovanna. (2016) Finite mixtures of quantile and M-quantile regression models. Statistics and Computing 27:2, pages 547-570.
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Annamaria Bianchi. 2016. Topics in Theoretical and Applied Statistics. Topics in Theoretical and Applied Statistics 123 131 .

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