A class of residuals for outlier identification in zero adjusted regression models.

Autor: Pereira GHA; Department of Statistics, Federal University of São Carlos, São Carlos, Brazil., Scudilio J; Department of Statistics, Federal University of São Carlos, São Carlos, Brazil.; Department of Applied Mathematics and Statistics, University of São Paulo, São Paulo, Brazil., Santos-Neto M; Department of Statistics, Federal University of São Carlos, São Carlos, Brazil.; Department of Statistics, Federal University of Campina Grande, Campina Grande, Brazil., Botter DA; Department of Statistics, University of São Paulo, São Paulo, Brazil., Sandoval MC; Department of Statistics, University of São Paulo, São Paulo, Brazil.

Publikováno v: Journal of applied statistics [J Appl Stat] 2019 Nov 28; Vol. 47 (10), pp. 1833-1847. Date of Electronic Publication: 2019 Nov 28 (Print Publication: 2020).

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Bartlett corrections for zero-adjusted generalized linear models.

Autor: Magalhães, Tiago M., Pereira, Gustavo H. A., Botter, Denise A., Sandoval, Mônica C.

Publikováno v: Statistical Papers; Jun2024, Vol. 65 Issue 4, p2191-2209, 19p

A comparison of residual diagnosis tools for diagnosing regression models for count data.

Autor: Feng, Cindy^1,2 (AUTHOR) cindy.feng@uottawa.ca, Li, Longhai³ (AUTHOR), Sadeghpour, Alireza³ (AUTHOR)

Publikováno v: BMC Medical Research Methodology. 7/1/2020, Vol. 20 Issue 1, p1-21. 21p. 7 Charts, 12 Graphs.

Classical and Bayesian inference approaches for the exponentiated discrete Weibull model with censored data and a cure fraction.

Autor: Lopes de Freitas, Bruno Caparroz, de Oliveira Peres, Marcos Vinicius, Achcar, Jorge Alberto, Martinez, Edson Zangiacomi

Publikováno v: Pakistan Journal of Statistics & Operation Research; 2021, Vol. 17 Issue 2, p467-481, 15p