Modeling and estimating variances in regression

Communications in Statistics - Theory and Methods

Volumn 31, Issue 3, 2002, Pages 351-365

  Mak, Tak K ^a  

^a Gina Cody School of Engineering and Computer Science   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 31244434002     PISSN: 03610926     EISSN: None     Source Type: Journal    
DOI: 10.1081/STA-120002853     Document Type: Article

References (12)

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3. Linthurst, R.A. Aeration, Nitrogen, pH and Salinity as Factors Affecting Spartina Alterniora Growth and Dieback, Ph.D. Thesis, North Carolina State University, 1979.
4. Nelder, J.A.; Lee, Y. Generalized Linear Models for the Analysis of Taguchi-Type Experiments. Applied Stochastic Models and Data Analysis 1991, 7, 107-120.
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6. Chan, L.K.; Mak, T.K. A Regression Approach for Discovering Small Variation Around a Target. Journal of the Royal Statistical Society, Series C (Applied Statistics) 1995, 44, 369-377.
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8. Carroll, R.J.; Ruppert, D. Transformation and Weighting in Regression. Chapman and Hall: New York, 1988.
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10. Box, G.E.P.; Draper, N.R. Empirical Model Building and Response Surfaces. Wiley: New York, 1987.
11. Mak, T.K. Solving Non-linear Estimation Equations. Journal of the Royal Statistical Society, Series B 1993, 55, 945-955.
12. Mak, T.K. Heteroscedastic Regression Models with Non-normally Distributed Errors. Journal of Statistical Computation and Simulation 2000, 67, 21-36.