Joint Linear Modeling of Mixed Data and Its Application to Email Analysis-Reference-Cited by-同舟云学术

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Joint Linear Modeling of Mixed Data and Its Application to Email Analysis

Published:2023-03-10 Issue:1 Volume:85 Page:175-209
ISSN:0976-8386
Container-title:Sankhya B
language:en
Short-container-title:Sankhya B

Author:

Samani Ehsan Bahrami^ORCID,Tabrizi Elham

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://link.springer.com/content/pdf/10.1007/s13571-023-00304-w.pdf

Reference32 articles.

1. Aitchison, J. (1982). The statistical analysis of compositional data. Journal of the Royal Statistical Society. Series B (Methodological) 44, 139–177.

2. Anholetoa, T., Sandovala, M.C. and Bottera, D.A. (2012). Adjusted Pearson residuals in beta regression models. J. Stat. Comput. Simul. 84, 999–1014.

3. Azarnoush, B.K., Paynabar, J.B. and Runger, G. (2016). Monitoring temporal homogeneity in attributed network streams. J. Qual. Technol. 48, 28–43.

4. Barreto-Souza, W. and Simas, A.B. (2017). Improving estimation for beta regression models via EM algorithm and related diagnostic tools. J. Stat. Comput. Simul.87, 2847–2867.

5. Cameron, A.C. and Trivedi, P.K. (1998). Regression Analysis of Count Data. Cambridge University Press, Cambridge.

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