M‐quantile regression for multivariate longitudinal data with an application to the Millennium Cohort Study-Reference-Cited by-同舟云学术

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M‐quantile regression for multivariate longitudinal data with an application to the Millennium Cohort Study

Published:2020-11-25 Issue:1 Volume:70 Page:122-146
ISSN:0035-9254
Container-title:Journal of the Royal Statistical Society: Series C (Applied Statistics)
language:en
Short-container-title:J R Stat Soc Series C

Author:

Alfò Marco¹,Marino Maria Francesca²,Ranalli Maria Giovanna³,Salvati Nicola⁴,Tzavidis Nikos⁵

Affiliation:

1. Dipartimento di Scienze Statistiche Sapienza Università di Roma Roma Italy

2. Dipartimento di Statistica, Informatica, Applicazioni Università degli Studi di Firenze Firenze Italy

3. Dipartimento di Scienze Politiche Università degli Studi di Perugia Perugia Italy

4. Dipartimento di Economia e Management Università di Pisa Pisa Italy

5. Department of Social Statistics and Demography Southampton Statistical Sciences Research Institute University of Southampton Southampton UK

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/rssc.12452

Reference63 articles.

1. The Effects of Birth Inputs on Birthweight

2. A general maximum likelihood analysis of overdispersion in generalized linear models

3. A General Maximum Likelihood Analysis of Variance Components in Generalized Linear Models

4. Finite mixtures of quantile and M-quantile regression models

5. Nonlinear panel data estimation via quantile regressions;Arellano M.;Econometrics Journal,2016

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1. Expectile and M-quantile regression for panel data;Statistics and Computing;2024-03-17

2. A Bayesian quantile joint modeling of multivariate longitudinal and time-to-event data;Lifetime Data Analysis;2024-03-01

3. Marginal M-quantile regression for multivariate dependent data;Computational Statistics & Data Analysis;2022-09

4. Modeling sign concordance of quantile regression residuals with multiple outcomes;The International Journal of Biostatistics;2022-07-11

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