Özkale, M. Revan; Kaçiranlar, Selahattin The restricted and unrestricted two-parameter estimators. (English) Zbl 1129.62051 Commun. Stat., Theory Methods 36, No. 13-16, 2707-2725 (2007). Summary: We introduce a new two-parameter estimator by grafting the contraction estimator into the modified ridge estimator proposed by B. F. Swindel [ibid. 5, 1065–1075 (1976; Zbl 0342.62035)] (1976). This new two-parameter estimator is a general estimator which includes the ordinary least squares, the ridge, the K. Liu [ibid. 22, No. 2, 393–402 (1993; Zbl 0784.62065)], and the contraction estimators as special cases. Furthermore, by setting restrictions \(R\beta = r\) on the parameter values we introduce a new restricted two-parameter estimator which includes the well-known restricted least squares, the restricted ridge proposed by J. Groß [Stat. Probab. Lett. 65, No. 1, 57–64 (2003; Zbl 1116.62368)], the restricted contraction estimators, and a new restricted Liu estimator which we call the modified restricted Liu estimator different from the restricted Liu estimator proposed by S. Kaçıranlar et al. [Sankhyā, Ser. B 61, 443–459 (1999)]. We also obtain necessary and sufficient conditions for the superiority of the new two-parameter estimator over the ordinary least squares estimator and the comparison of the new restricted two-parameter estimator to the new two-parameter estimator is done by the criterion of matrix mean square error. The estimators of the biasing parameters are given and a simulation study is done for the comparison as well as the determination of the biasing parameters. Cited in 10 ReviewsCited in 53 Documents MSC: 62H12 Estimation in multivariate analysis 62J05 Linear regression; mixed models 62F30 Parametric inference under constraints 62J07 Ridge regression; shrinkage estimators (Lasso) 62F10 Point estimation 65C05 Monte Carlo methods Keywords:contraction estimator; Liu estimator; modified ridge estimator; restricted ridge estimator Citations:Zbl 0342.62035; Zbl 0784.62065; Zbl 1116.62368 PDF BibTeX XML Cite \textit{M. R. Özkale} and \textit{S. Kaçiranlar}, Commun. Stat., Theory Methods 36, No. 13--16, 2707--2725 (2007; Zbl 1129.62051) Full Text: DOI OpenURL References: [1] Farebrother R. W., J. Roy. Statist. Soc. B 38 pp 248– (1976) [2] Farebrother R. W., J. Roy. Statist. Soc. B 40 pp 47– (1978) [3] Graybill F. A., Theory and Application of the Linear Model (1976) · Zbl 0371.62093 [4] Graybill F. A., Matrices with Applications in Statistics (1983) · Zbl 0496.15002 [5] DOI: 10.1016/j.spl.2003.07.005 · Zbl 1116.62368 [6] Gruber M. H. J., Improving Efficiency by Shrinkage: The James-Stein and Ridge Regression Estimators (1998) · Zbl 0920.62085 [7] DOI: 10.2307/1267351 · Zbl 0202.17205 [8] DOI: 10.1080/03610927508827232 · Zbl 0296.62062 [9] Kaçıranlar S., Sankhya Ser. B., Ind. J. Statist. 61 pp 443– (1999) [10] DOI: 10.1081/SAC-120017499 · Zbl 1075.62588 [11] DOI: 10.1080/03610918208812274 · Zbl 0539.62080 [12] DOI: 10.1080/03610929308831027 · Zbl 0784.62065 [13] DOI: 10.1081/STA-120019959 · Zbl 1107.62345 [14] DOI: 10.1081/STA-200037930 · Zbl 1099.62073 [15] DOI: 10.2307/1266855 · Zbl 0265.62017 [16] DOI: 10.2307/2285832 · Zbl 0319.62049 [17] Rao C. R., Linear Models: Least Squares and Alternatives (1995) · Zbl 0846.62049 [18] Sakallıoğlu S., J. Math. Comp. Sci. 9 pp 193– (1996) [19] DOI: 10.1080/03610929208830893 · Zbl 0774.62074 [20] DOI: 10.1080/03610927608827423 · Zbl 0342.62035 [21] DOI: 10.2307/2525589 [22] DOI: 10.2307/2284027 · Zbl 0159.48001 This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. It attempts to reflect the references listed in the original paper as accurately as possible without claiming the completeness or perfect precision of the matching.