1. Açık Erişim@BUU
  2. İndeksli Yayınlar
  3. Web of Science
Bu öğeden alıntı yapmak, öğeye bağlanmak için bu tanımlayıcıyı kullanınız: http://hdl.handle.net/11452/29917
Başlık: A nonnormal look at polychoric correlations: Modeling the change in correlations before and after discretization
Yazarlar: Demirtaş, Hakan
Uludağ Üniversitesi/Tıp Fakültesi/Biyoistatistik Anabilim Bölümü.
0000-0003-1550-639X
0000-0002-2382-290X
0000-0002-1953-7735
Ahmadian, Robab
Atış, Sema
Can, Fatma Ezgi
Ercan, İlker
AAE-5602-2019
56689608500
57185433800
57185484200
6603789069
Anahtar kelimeler: Mathematics
Random number generation
Simulation
Nonnormality
Threshold concept
Pattern-mixture models
Ignorable drop-out
Ordinal data
Multiple imputation
Power polynomials
Distributions
Performance
Coefficient
Generation
Yayın Tarihi: 8-Mar-2016
Yayıncı: Springer
Atıf: Demirtaş, H. vd. (2016). "A nonnormal look at polychoric correlations: Modeling the change in correlations before and after discretization". Computational Statistics, 31(4), 1385-1401.
Özet: Two algorithms for establishing a connection between correlations before and after ordinalization under a wide spectrum of nonnormal underlying bivariate distributions are developed by extending the iteratively found normal-based results via the power polynomials. These algorithms are designed to compute the polychoric correlation when the ordinal correlation is specified, and vice versa, along with the distributional properties of latent, continuous variables that are subsequently ordinalized through thresholds dictated by the marginal proportions. The method has broad applicability in the simulation and random number generation world where modeling the relationships between these correlation types is of interest.
URI: https://doi.org/10.1007/s00180-016-0653-7
https://link.springer.com/article/10.1007/s00180-016-0653-7
http://hdl.handle.net/11452/29917
ISSN: 0943-4062
1613-9658
Koleksiyonlarda Görünür:Scopus
Web of Science

Bu öğenin dosyaları:
Bu öğeyle ilişkili dosya bulunmamaktadır.
Tüm Öğe Kaydını Göster İstatistikler


DSpace'deki bütün öğeler, aksi belirtilmedikçe, tüm hakları saklı tutulmak şartıyla telif hakkı ile korunmaktadır.