Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Aylin Alin"'
Publikováno v:
Statistics and Its Interface. 12:203-213
Linear models incorporating change points are very common in many scientific fields including genetics, medicine, ecology, and finance. Outlying or unusual data points pose another challenge for fitting such models, as outlying data may impact change
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::20e06bc26be60be429692d2f73172a4b
https://doi.org/10.4310/sii.2019.v12.n2.a2
https://doi.org/10.4310/sii.2019.v12.n2.a2
Publikováno v:
Journal of Data Science. Jul2018, Vol. 16 Issue 3, p593-604. 12p.
Autor:
Aylin Alin
Publikováno v:
Statistical Communications in Infectious Diseases. 13
Objectives: Our objective is to propose a robust approach to model daily new cases and daily new deaths due to covid-19 infection in Turkey. Methods: We consider the generalized linear model (GLM) approach for the autoregressive process (AR) with log
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::99852af1df46ed1dfba7e8a5e36356cf
https://doi.org/10.1515/scid-2020-0006
https://doi.org/10.1515/scid-2020-0006
Statistical methods are effectively used in the evaluation of pharmaceutical formulations instead of laborious liquid chromatography. However, signal overlapping, nonlinearity, multicollinearity and presence of outliers deteriorate the performance of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec99ae7c4f66fa82d727123999157b9a
https://avesis.deu.edu.tr/publication/details/183036fc-6153-48dd-8ab8-d9d2a7f51b9d/oai
https://avesis.deu.edu.tr/publication/details/183036fc-6153-48dd-8ab8-d9d2a7f51b9d/oai
Publikováno v:
STATISTICS AND ITS INTERFACE
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::b5dfd5a07d547db127d87210ea8c39a6
http://hdl.handle.net/11772/10314
http://hdl.handle.net/11772/10314
Autor:
Suay Erees, Aylin Alin
Publikováno v:
Communications in Statistics - Simulation and Computation. 46:1842-1857
Violation of correct specification may cause some undesirable results such as biased logistic regression coefficients and less efficient test statistics. In this paper, asymptotic relative efficiency (ARE) of various coefficients of determination in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d9d3f95e88da775161ab8317ff822b6
https://doi.org/10.1080/03610918.2015.1016238
https://doi.org/10.1080/03610918.2015.1016238
Autor:
Vasil Simeonov, Yahya S. Al-Degs, Bissera Pilicheva, Aylin Alin, Margarita Kassarova, Plamen Katsarov, Georgi Gergov
Publikováno v:
Acta Pharmaceutica, Vol 68, Iss 1, Pp 61-73 (2018)
Acta Pharmaceutica
Volume 68
Issue 1
Acta Pharmaceutica
Volume 68
Issue 1
The prediction power of partial least squares (PLS) and multivariate curve resolution-alternating least squares (MCR-ALS) methods have been studied for simultaneous quantitative analysis of the binary drug combination - doxylamine succinate and pyrid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b25abeea1b9ad1da57e82c948f538017
https://pubmed.ncbi.nlm.nih.gov/29453910
https://pubmed.ncbi.nlm.nih.gov/29453910
Traditional resampling methods for estimating sampling distributions sometimes fail, and alternative approaches are then needed. For example, if the classical central limit theorem does not hold and the naive bootstrap fails, the m/n bootstrap, based
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8fe68799781a433d1f0a861d94365b7
https://avesis.deu.edu.tr/publication/details/0cb5fd5b-8d63-44db-b39e-ce9e774755a9/oai
https://avesis.deu.edu.tr/publication/details/0cb5fd5b-8d63-44db-b39e-ce9e774755a9/oai
Autor:
Ufuk Beyaztas, Aylin Alin
Publikováno v:
Quality and Reliability Engineering International. 30:993-1002
In this study, we propose a delete-2 jackknife-after-bootstrap method to refine the cut-offs for the well-known diagnostic measure Cook's distance when the data have multiple influential data points with masking and swamping effects. The performance
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fcff4f4da8f940d39c9e555a91bdbbd5
https://doi.org/10.1002/qre.1711
https://doi.org/10.1002/qre.1711
Publikováno v:
Journal of Applied Statistics. 41:1593-1610
The Jackknife-after-bootstrap (JaB) technique originally developed by Efron [8] has been proposed as an approach to improve the detection of influential observations in linear regression models by Martin and Roberts [12] and Beyaztas and Alin [2]. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d11780804c8bd206c21ad615eeb1c41
https://doi.org/10.1080/02664763.2014.881788
https://doi.org/10.1080/02664763.2014.881788