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Introduction to Linear Regression Analysis, 5th Edition
book

Introduction to Linear Regression Analysis, 5th Edition

by Douglas C. Montgomery, Elizabeth A. Peck, G. Geoffrey Vining
April 2012
Beginner
672 pages
17h 39m
English
Wiley
Content preview from Introduction to Linear Regression Analysis, 5th Edition

REFERENCES

Adichie, J. N. [1967], “Estimates of regression parameters based on rank tests,” Ann. Math. Stat., 38, 894–904.

Aitkin, M. A. [1974], “Simultaneous inference and the choice of variable subsets,” Technometrics 16, 221–227.

Akaike, H. [1973], “Information theory and an extension of the maximum likelihood principle,” in B. N. Petrov and F. Csaki (editors), Second International Symposium on Information Theory. Budapest: Academiai Kiado.

Allen, D. M. [1971], “Mean square error of prediction as a criterion for selecting variables,” Technometrics, 13, 469–475.

Allen, D. M. [1974], “The relationship between variable selection and data augmentation and a method for prediction,” Technometrics, 16, 125–127.

Andrews, D. F. [1971], “Significance tests based on residuals,” Biometrika, 58, 139–148.

Andrews, D. F. [1974], “A robust method for multiple linear regression,” Technometrics, 16, 523–531.

Andrews, D. F. [1979], “The robustness of residual displays,” in R. L. Launer and G. N. Wilkinson (Eds.), Robustness in Statistics, Academic Press, New York, pp. 19–32.

Andrews, D. F., P. J. Bickel, F. R. Hampel, P. J. Huber, W. H. Rogers, and J. W. Tukey [1972], Robust Estimates of Location, Princeton University Press, Princeton, N.J.

Anscombe, F. J. [1961], “Examination of residuals,” in Proceedings of the Fourth Berkeley Symposium on Mathematical Statistics and Probability, Vol. 1, University of California, Berkeley, pp. 1–36.

Anscombe, F. J. [1967], “Topics in the investigation of linear ...

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Publisher Resources

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