Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Ezgi Nazman"'
Publikováno v:
Selcuk Dental Journal, Vol 6, Iss 4, Pp 280-286 (2019)
Amaç: Bu çalışmada, Konik ışınlı bilgisayarlı tomografi (KIBT) ve dijital panoramik radyografi (DPR) kullanılarak artiküler eminens pnömatizasyonu (PAT) ve glenoid fossa pnömatizasyonunun (PGF) prevalansının tespit edilmesi ve karakter
Externí odkaz:
https://doaj.org/article/41c4fac9707b4f1eb9dffd6b16ae1486
Autor:
Ezgi Nazman, Hülya Olmuş
Publikováno v:
Volume: 16, Issue: 3 333-338
Celal Bayar University Journal of Science
Celal Bayar University Journal of Science
Ability parameter of persons/examinees estimates can be obtained using Joint Maximum Likelihood (JML) estimation method in Item Response Theory (IRT). However, JML estimates can be biased in some cases. Although Bootstrap method has been considered f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b1ed14c6913ac04e62d2b8e8649b5006
https://doi.org/10.18466/cbayarfbe.622868
https://doi.org/10.18466/cbayarfbe.622868
Autor:
Ezgi Nazman, Hülya Olmuş
Publikováno v:
Volume: 9, Issue: 3 1060-1070
Bitlis Eren Üniversitesi Fen Bilimleri Dergisi
Bitlis Eren Üniversitesi Fen Bilimleri Dergisi
Analysis of association between ordinal categorical variables has been widely considered especially in social and medical studies. It is known that ordering instead of nominal categorical data has several advantages for researchers. Mantel-Haenszel c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f0e5d691f9f141463e0ef21d7e64ef9
https://doi.org/10.17798/bitlisfen.662229
https://doi.org/10.17798/bitlisfen.662229
Autor:
Hülya Olmuş, Ezgi Nazman
Publikováno v:
Volume: 41, Issue: 2 369-376
Cumhuriyet Science Journal
Cumhuriyet Science Journal, Vol 41, Iss 2, Pp 369-376 (2020)
Cumhuriyet Science Journal
Cumhuriyet Science Journal, Vol 41, Iss 2, Pp 369-376 (2020)
There has been a growing interest in using observational studies to estimate treatment effects on outcomes where treatment selection is often influenced by covariates. Recently, propensity score matching (PSM) method has increasingly being used to re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5bef96c3da4f0f2928d39a93767ecf53
https://doi.org/10.17776/csj.677510
https://doi.org/10.17776/csj.677510
Publikováno v:
Communications in Statistics - Simulation and Computation. 51:1647-1660
The unit selection bias in treatment and control group affects negatively in evaluation of treatment effects. In some studies, the random units selected for the treatment and control group are out of control of the researcher and there may be differe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c628fbd3d2fe0427a99b5b4ac8929237
https://doi.org/10.1080/03610918.2019.1679181
https://doi.org/10.1080/03610918.2019.1679181
The occurrence rate of the event of interest might be quite small (rare) in some cases, although sample size is large enough for Binary Logistic Regression (LR) model. In studies where the sample size is not large enough, the parameters to be estimat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54b54b9ca95dccf774a7326f412af034
https://avesis.gazi.edu.tr/publication/details/72c69f23-5b37-4d9c-9c78-a6ae0f157e87/oai
https://avesis.gazi.edu.tr/publication/details/72c69f23-5b37-4d9c-9c78-a6ae0f157e87/oai
Publikováno v:
Volume: 22, Issue: 3 687-694
Politeknik Dergisi
Politeknik Dergisi
ABSTRACTA new product development is animportant step of competitive advantage for producers. There are several issuesto be considered during developing a new product from the point of view of bothcustomers and producers. Costumer preferences require
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6938fb62beb680ffec65d8e2ac5ce406
https://doi.org/10.2339/politeknik.459097
https://doi.org/10.2339/politeknik.459097
Autor:
Ezgi Nazman, Mehmet Güray Ünsal
Decision makers have to analyze both social and economic situation of the cities because of the budget constraint of the governments while considering investment to the cities. In this respect, data envelopment analysis (DEA) has been widely used to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56190ca31aecf29d52f0c1eca08f5e9d
https://hdl.handle.net/20.500.12636/1740
https://hdl.handle.net/20.500.12636/1740