Abstract
We study the choice of the quantity α in the FPEα criterion for selecting a member of a class of normal linear models having an orthogonal structure. Two approaches are discussed, namely fixing the maximal estimation risk at a prescribed level and using minimax regret. Estimation of the risk actually achieved and an illustrative example are also discussed.
Similar content being viewed by others
References
Arnold, S. F. (1981). The Theory of Linear Models and Multivariate Analysis, Wiley, New York.
Bhansali, R. J. and Downham, D. Y. (1977). Some properties of the order of an autoregressive model selected by a generalization of Akaike's FPE criterion, Biometrika, 64, 547–551.
Bickel, P. J. (1984). Parametric robustness: small biases can be worthwhile, Ann. Statist., 12, 864–879.
Hodges, J. L. and Lehmann, E. L. (1952). The use of previous experience in reaching statistical decisions, Ann. Math. Statist., 23, 396–407.
Hosoya, Y. (1983). Information criteria and tests in time-series models, Time Series Analysis: Theory and Practice 5 (ed. O. D. Anderson), 39–52, North-Holland, Amsterdam.
Lehmann, E. L. (1983). Theory of Point Estimation, Wiley, New York.
Linhart, H. and Zucchini, W. (1986). Model Selection, Wiley, New York.
Mallows, C. L. (1973). Some comments on C p , Technometrics, 15, 661–675.
Saxena, K. M. L. and Alam, K. (1982). Estimation of the non-certrality parameter of a chi squared distribution, Ann. Statist., 10, 1012–1016.
Scheffé, H. (1959). The Analysis of Variance, Wiley, New York.
Shibata, R. (1986). Selection of the number of regression variables; a minimax choice of generalized FPE, Ann. Inst. Statist. Math., 38, 459–474.
Author information
Authors and Affiliations
Additional information
This research was supported by the FRD of South Africa.
About this article
Cite this article
Venter, J.H., Steel, S.J. Some contributions to selection and estimation in the normal linear model. Ann Inst Stat Math 44, 281–297 (1992). https://doi.org/10.1007/BF00058641
Received:
Revised:
Issue Date:
DOI: https://doi.org/10.1007/BF00058641