نتایج جستجو برای: multivariate regression

تعداد نتایج: 395718  

Journal: :Journal of Computational and Graphical Statistics 2010

Journal: :IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans 2000

Journal: :Journal of Multivariate Analysis 2016

Journal: :journal of research in medical sciences 0
min feng jun lv sha fu bo liu ying tang xia wan

background: few investigations have focused on the patients with lupus nephritis (ln) and neuropsychiatric systemic lupus erythematosus (npsle). this study was aimed to investigate the clinical features, mortality, and the predictors for mortality of this group of patients. patients and methods: medical records were retrospectively reviewed in sun yat-sen memorial hospital from 1996 to 2012. da...

2013
Feng Li Mattias Villani FENG LI MATTIAS VILLANI

2006
Sung Jae Jun Joris Pinkse

We propose an efficient semiparametric estimator for the multivariate linear quantile regression model in which the conditional joint distribution of errors given regressors is unknown. The procedure can be used to estimate multiple conditional quantiles of the same regression relationship. The proposed estimator is asymptotically as efficient as if the conditional distribution were known. Simu...

2010
Andrew R. Barron Xiangyu Xiao

JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about JSTOR, please contact [email protected].. Institute of Mathematical Statistics is collaborating wit...

2004
Maarten Jansen Guy P. Nason Bernard W. Silverman

For regularly spaced one-dimensional data wavelet shrinkage has proven to be a compelling method for nonparametric function estimation. We argue that this is not the case for irregularly spaced data in two or higher dimensions. This article develops three methods for the multiscale analysis of irregularly spaced data based on the recently developed lifting paradigm by “lifting one coefficient a...

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