Modeling heteroscedastic age‐period‐cohort cancer data
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Publication:4698390
DOI10.2307/3315408zbMath0817.62090OpenAlexW2080087366MaRDI QIDQ4698390
Yang Mao, Lei Xie, Ian B. MacNeill
Publication date: 3 July 1995
Published in: Canadian Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.2307/3315408
heteroscedasticityresidual processesage-periodic cohort datafemale breast-cancer incidence dataincidence and mortality rates
Cites Work
- Properties of sequences of partial sums of polynomial regression residuals with applications to tests for change of regression at unknown times
- Limit processes for sequences of partial sums of regression residuals
- Distributions of Bayes-type change-point statistics under polynomial regression
- Residual partial sum limit process for regression models with applications to detecting parameter changes at unknown times
- Fitting Heteroscedastic Regression Models
- The Invariance Principle for a Lattice of Random Variables
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