Zobrazeno 1 - 10
of 83
pro vyhledávání: '"influential points"'
Autor:
Jose Antonio Padron-Hidalgo, Adrian Perez-Suay, Fatih Nar, Valero Laparra, Gustau Camps-Valls
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 5480-5488 (2020)
Detecting anomalous changes in remote sensing images is a challenging problem, where many approaches and techniques have been presented so far. We rely on the standard field of multivariate statistics of diagnostic measures, which are concerned about
Externí odkaz:
https://doaj.org/article/646f6da95a754566951378dad8dc926d
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Akademický článek
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Autor:
Korn, Edward L., Graubard, Barry I.
Publikováno v:
The American Statistician, 1998 Feb 01. 52(1), 58-69.
Externí odkaz:
https://www.jstor.org/stable/2685570
Autor:
Edmore Ranganai, Innocent Mudhombo
Publikováno v:
Entropy, Vol 23, Iss 1, p 33 (2020)
The importance of variable selection and regularization procedures in multiple regression analysis cannot be overemphasized. These procedures are adversely affected by predictor space data aberrations as well as outliers in the response space. To cou
Externí odkaz:
https://doaj.org/article/4c6e409b045c4bb8a1eadbe9b54a33f1
Autor:
Danilevicz, Ian Meneghel
How to evaluate if a spatial model is well ajusted to a problem? How to know if it is the best model between the class of conditional autoregressive (CAR) and simultaneous autoregressive (SAR) models, including homoscedasticity and heteroscedasticity
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Autor:
Edmore Ranganai, Innocent Mudhombo
Publikováno v:
Computation; Volume 10; Issue 11; Pages: 203
Although the variable selection and regularization procedures have been extensively considered in the literature for the quantile regression (QR) scenario via penalization, many such procedures fail to deal with data aberrations in the design space,
Publikováno v:
65th Annual Meeting of the German Association for Medical Informatics, Biometry and Epidemiology (GMDS), Meeting of the Central European Network (CEN: German Region, Austro-Swiss Region and Polish Region) of the International Biometric Society (IBS); 20200906-20200909; Berlin; DOCAbstr. 43 /20210226/
Penalized regression methods such as ridge regression heavily rely on the choice of a tuning or penalty parameter, which is often computed via cross-validation. Discrepancies in the value of the penalty parameter may lead to substantial differences i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7838619fa8a7ee37bd3c3b60463fe1d1
Publikováno v:
Braz. J. Probab. Stat. 33, no. 4 (2019), 826-860
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
The primary goal of this paper is to introduce the zero-modified Poisson–Lindley regression model as an alternative to model overdispersed count data exhibiting inflation or deflation of zeros in the presence of covariates. The zero-modification is