The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Modelling Variance Heterogeneity in Normal Regression Using GLIM
Abstract
On montre que le modele considere peut etre ajuste par le maximum de vraisemblance et que le parametre moyen peut etre estime simultanement
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Cites
An analysis of transformations (with discussion)
Box, G. E. P. (1964) · Journal of the Royal Statistical Society Series A (Statistics in Society) · Cited by 1,891
Diagnostics for heteroscedasticity in regression
COOK, R. D., & WEISBERG, S. (1983) · Biometrika · doi:10.1093/biomet/70.1.1 · Cited by 919
J., J. E. (1978) · Technometrics · doi:10.1080/00401706.1978.10489652 · Cited by 351
Score Tests for Regression Models
Chen, C.-F. (1983) · Journal of the American Statistical Association · doi:10.1080/01621459.1983.10477945 · Cited by 68
Coupled and separable iterations in nonlinear estimation
Smyth, G. K. (1985) · ANU Open Research (Australian National University) · doi:10.25911/5d723abea4de3 · Cited by 12
Cited by
The analysis of designed experiments and longitudinal data by using smoothing splines
Verbyla, A. P., Cullis, B. R., Kenward, M. G., & Welham, S. J. (1999) · Journal of the Royal Statistical Society Series C: Applied Statistics · doi:10.1111/1467-9876.00154 · Cited by 570
Construction of age‐related reference centiles using absolute residuals
Altman, D. G. (1993) · Statistics in Medicine · doi:10.1002/sim.4780121003 · Cited by 294
The Scope of Principal Efforts to Improve Instruction
May, H., & Supovitz, J. A. (2011) · Educational Administration Quarterly · doi:10.1177/0013161x10383411 · Cited by 224
Lin, X., Mermelstein, R. J., & Hedeker, D. (2018) · Statistics in Medicine · doi:10.1002/sim.7627 · Cited by 48
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