Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Sadullah, Sakallıoğlu"'
Publikováno v:
Pattern Recognition Letters. 32:1701-1705
Clustering is one of the widely used knowledge discovery techniques to reveal structures in a dataset that can be extremely useful to the analyst. In iterative clustering algorithms the procedure adopted for choosing initial cluster centers is extrem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c287396b8ca1b154f0fe464cb9cdc43b
https://doi.org/10.1016/j.patrec.2011.07.011
https://doi.org/10.1016/j.patrec.2011.07.011
Publikováno v:
Journal of Statistics and Management Systems. 14:277-287
In this empirical study, our goal is to investigate the effectiveness of clustering high dimensional data using principle components (PCs) instead of original variables. Effects of PCs instead original variables on clustering of simulated data sets w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a6f320825faafbd2e2f75b4ec86c434
https://doi.org/10.1080/09720510.2011.10701556
https://doi.org/10.1080/09720510.2011.10701556
Publikováno v:
Statistical Papers. 49:669-689
In this paper we introduce a new biased estimator for the vector of parameters in a linear regression model and discuss its properties. We show that our new biased estimator is superior, in the mean square error(mse) sense, to the ordinary least squa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d7dfb9b63c5569124e3a799f56a11126
https://doi.org/10.1007/s00362-006-0037-0
https://doi.org/10.1007/s00362-006-0037-0
Publikováno v:
Communications in Statistics - Theory and Methods. 30:2699-2705
In this paper we introduce a class of estimators which includes the ordinary least squares (OLS), the principal components regression (PCR) and the Liu estimator (1). In particular, we show that our new estimator is superior, in the scalar meansquare
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a9e5138e4c3b1f2ad6f045c171a3240
https://doi.org/10.1081/sta-100108454
https://doi.org/10.1081/sta-100108454
Publikováno v:
Communications in Statistics - Theory and Methods. 30:347-361
Gunst and Mason (1976) and Trenkler (1980) have compared several regression estimators with respect to the generalized mean squared error criterion. The purpose of this paper is to deal with the comparisons among the some other biased estimators cons
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c0739391e34f722ea6e0cc251b64e6b7
https://doi.org/10.1081/sta-100002036
https://doi.org/10.1081/sta-100002036
Autocorrelation in errors and multicollinearity among the regressors are serious problems in regression analysis. The aim of this paper is to examine multicollinearity and autocorrelation problems concurrently and to compare the r - k class estimator
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f84349280fe811a59c0c79ffc887166
https://hdl.handle.net/20.500.12605/19264
https://hdl.handle.net/20.500.12605/19264
Several alternative methods for derivation of the restricted ridge regression estimator (RRRE) are provided. Theoretical comparison and relationship of RRRE with related methods for regression with the multicollinearity problem are described.We also
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::738fb479b54ec769b3fb0e6607a56475
https://hdl.handle.net/20.500.12605/17651
https://hdl.handle.net/20.500.12605/17651
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