Commentary on “indoor air pollution and pulmonary performance: Investigating errors in exposure assessment”
1989; Wiley; Volume: 8; Issue: 9 Linguagem: Inglês
10.1002/sim.4780080911
ISSN1097-0258
Autores Tópico(s)Air Quality Monitoring and Forecasting
ResumoStatistics in MedicineVolume 8, Issue 9 p. 1127-1131 Article Commentary on “indoor air pollution and pulmonary performance: Investigating errors in exposure assessment” Leon Jay Gleser, Leon Jay Gleser Department of Statistics, Purdue University, West Lafayette, Indiana 47907, U.S.A.Search for more papers by this author Leon Jay Gleser, Leon Jay Gleser Department of Statistics, Purdue University, West Lafayette, Indiana 47907, U.S.A.Search for more papers by this author First published: September 1989 https://doi.org/10.1002/sim.4780080911Citations: 3AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat References 1 Fuller, W. A. Measurement Error Models, Wiley, New York, 1987. 2 Currie, L. A. ‘The limitations of models and measurements as revealed through chemometric intercomparison’, Journal of Research of the National Bureau of Standards, 90, 409–419 (1985). 3 Gleser, L. J. and Hwang, J. T. ‘The nonexistence of 100(1 – α)% confidence sets of finite expected diameter in errors-in-variables and related models’, Annals of Statistics, 15, 1351–1362 (1987). 4 Anderson, T. W. and Sawa, H. ‘Exact and approximate distributions of the maximum likelihood estimator of a slope coefficient’, Journal of the Royal Statistical Society Series B, 44, 52–62 (1982). 5 Patefield, W. M. ‘On the validity of approximate distributions arising in fitting a linear functional relationship’, Journal of Statistical Computation and Simulation, 5, 43–60 (1976). 6 Gleser, L. J. ‘ Confidence intervals for the slope in a linear errors-in-variables regression model’, in A. K. Gupta (ed.), Advances in Multivariate Statistical Analysis, D. Reidel, 1987, 85–109. Citing Literature Volume8, Issue9September 1989Pages 1127-1131 ReferencesRelatedInformation
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