Abstract
We introduce a notion of the best monotonic lower confidence limit for unknown parameter of distribution. Its existence is proved for the multiple correlation coefficient in the case of the normal law. An effective method of computing such a limit is described.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
M.G. Kendall and A. Stuart, The advanced theory of statistics, 2, London, 1962.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1997 Springer Basel AG
About this paper
Cite this paper
Slivnyak, I.M. (1997). A Lower Confidence Limit for the Multiple Correlation Coefficient. In: Gohberg, I., Lyubich, Y. (eds) New Results in Operator Theory and Its Applications. Operator Theory: Advances and Applications, vol 98. Birkhäuser, Basel. https://doi.org/10.1007/978-3-0348-8910-0_17
Download citation
DOI: https://doi.org/10.1007/978-3-0348-8910-0_17
Publisher Name: Birkhäuser, Basel
Print ISBN: 978-3-0348-9824-9
Online ISBN: 978-3-0348-8910-0
eBook Packages: Springer Book Archive