The article constructs simultaneous (simultaneous) confidence intervals for the mean of repeated observations in a multiple linear normal regression. A numerical method is described and applied for the adjustment of point confidence intervals of the mean of repeated observations. A more accurate result is obtained by a numerical method that computes the critical value that determines the simultaneous confidence interval of a given level. We conduct numerical simulation and carry out a comparative analysis of the simultaneous confidence interval with the point confidence interval for the mean of repeated observations and for an individual observation.
Similar content being viewed by others
References
A. G. Belov, “Confidence prediction of the mean of repeating observations,” Vestnik MGU, series 15: Comput. Math. Cybernetics, No. 2, 14–19 (2016).
A. G. Belov, “Confidence prediction of the mean value of multiple observations,” Moscow Univ. Comput. Math. Cybernetics, 36(2), 65–70 (2016).
G. Seber, Linear Regression Analysis [Russian translation], Mir, Moscow (1980).
C. E. Bonferroni, “Il calcolo delle assi curazioni su gruppi di test,” in: Studi Onore del Professore Salvatore Ortu Carboni, Rome, Italy (1935), pp.13–60.
R. A. Armstrong, “When to use the Bonferroni correction,” Ophthalmic Physiol. Opt., 34, 502–508 (2014).
H. Abdi, “Bonferroni and Sidak corrections for multiple comparisons,” Encyclopedia of Measurement and Statistics, Sage, Thousand Oaks, CA (2007).
Z. Sidak, “Rectangular confidence region for the means of multivariate normal distributions,” J. Amer. Stat. Association, 62, 626–633 (1967).
S. Holm, “A simple sequentially rejective Bonferroni test procedure,” Scandinavian J. Stat., 6(2), 65–70 (1979).
Y. Hochberg and Y. Benjamini, “More powerful procedure for multiple significance testing,” Stat. Medicine, 9, 811–818 (1990).
D. Yekutieli and Y. Benjamini, “Resampling-based false discovery rate controlling multiple test procedure for correlated test statistics,” J. Stat. Planning Inference, 82, 171–196 (1999).
W. Liu, M. Jamshidian, Y. Zhang, and J. Donnelly, “Simulation-based simultaneous confidence bands in multiple linear regression with predictor variables constrained in intervals,” J. Comput. Graph. Stat., 14(2), 459–484 (2005).
Author information
Authors and Affiliations
Corresponding author
Additional information
Translated from Prikladnaya Matematika i Informatika, No. 60, 2019, pp. 62–71.
Rights and permissions
About this article
Cite this article
Belov, A.G. Calculation of Confidence Bands for the Mean of Repeated Observations. Comput Math Model 30, 285–294 (2019). https://doi.org/10.1007/s10598-019-09454-x
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10598-019-09454-x