Pattern classification using principal components regression [PDF]
In this paper we will classify patterns using an algorithm analogous to the k-means algorithm and the principal components regression (PCR). We will also present a financial application in which we apply PCR if the points represent the interests for ...
Ciuiu, Daniel
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LIC criterion for optimal subset selection in distributed interval estimation. [PDF]
J Appl Stat, 2023 Guo G, Sun Y, Qian G, Wang Q.
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The re-parameterized inverse Gaussian regression to model length of stay of COVID-19 patients in the public health care system of Piracicaba, Brazil. [PDF]
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A robust and efficient variable selection method for linear regression. [PDF]
J Appl Stat, 2022 Yang Z, Fu L, Wang YG, Dong Z, Jiang Y.
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Unit upper truncated Weibull distribution with extension to 0 and 1 inflated model - Theory and applications. [PDF]
Heliyon, 2023 Okorie IE, Afuecheta E, Bakouch HS.
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Predicting and explaining absenteeism risk in hospital patients before and during COVID-19. [PDF]
Socioecon Plann Sci, 2023 Borges A +4 more
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Partial least squares regression with compositional response variables and covariates. [PDF]
J Appl Stat, 2021 Chen J, Zhang X, Hron K.
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Doubly multivariate linear models with block exchangeable distributed errors and site-dependent covariates. [PDF]
J Appl Stat, 2022 Opheim T, Roy A.
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Regression models using the LINEX loss to predict lower bounds for the number of points for approximating planar contour shapes. [PDF]
J Appl Stat, 2022 Jayasinghe JMT +2 more
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Migration and students' performance: detecting geographical differences following a curves clustering approach. [PDF]
J Appl Stat, 2022 Boscaino G, Sottile G, Adelfio G.
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