Zobrazeno 1 - 10
of 78
pro vyhledávání: '"Runchu Zhang"'
Autor:
Runchu Zhang, Yi Cheng
Publikováno v:
Communications in Statistics - Theory and Methods. 52:4799-4814
In this paper, we extend the AENP and the GMC criterion proposed by Zhang et al. (2008) to the case of nonregular orthogonal designs. A G-AENP and correspondingly a G-GMC criterion are proposed. The confounding frequency vector (CFV) and the generali
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d84d2abe931d591a02256b415371eae2
https://doi.org/10.1080/03610926.2013.765474
https://doi.org/10.1080/03610926.2013.765474
Autor:
Runchu Zhang, Chao Chen
Publikováno v:
Communications in Statistics - Theory and Methods. 48:4794-4803
In this paper, we introduce the concept of model quality for two-level regular fractional factorial designs. Under the effect hierarchy principle, this paper raises the definition of model ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d98733d3b8c472598aa010f29abb40c
https://doi.org/10.1080/03610926.2018.1490431
https://doi.org/10.1080/03610926.2018.1490431
Publikováno v:
Communications in Statistics - Theory and Methods. 49:2498-2513
When the experimental units are heterogeneous, blocking the units into groups is a crucial way. In this paper we consider the selection of optimal three-level blocked regular designs. A blocked ali...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f540b32af0c67183c173c802392e55c
https://doi.org/10.1080/03610926.2019.1576891
https://doi.org/10.1080/03610926.2019.1576891
Publikováno v:
Metrika. 82:269-293
Often, experimenters are only interested in estimating a few factor specified effects. In this paper, we broadly call a design which can reach this target a compromise design. First, for assessing and selecting this kind of designs we introduce a par
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51debea1b130e83612b3b7882475e724
https://doi.org/10.1007/s00184-018-00705-2
https://doi.org/10.1007/s00184-018-00705-2
Publikováno v:
Communications in Statistics - Theory and Methods. 47:2827-2834
This article studies two-level strongly clear compromise plans. We derive some necessary conditions for the existence of four classes of two-level strongly clear compromise plans which allow the estimations of some specified main effects and two-fact
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4fded33e70ceb173982446d26697a2a2
https://doi.org/10.1080/03610926.2017.1303739
https://doi.org/10.1080/03610926.2017.1303739
Publikováno v:
Journal of Statistical Theory and Practice. 12:336-355
For three-level designs, the general minimum lower order confounding (GMC) criterion aims to choose optimal designs by treating aliased component-number pattern (ACNP) as a set. In this article, we develop some theoretical results of a three-level GM
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::685df45d361a5b00198251c033ee3617
https://doi.org/10.1080/15598608.2017.1381057
https://doi.org/10.1080/15598608.2017.1381057
Publikováno v:
Communications in Statistics - Theory and Methods. 46:8497-8509
General minimum lower-order confounding (GMC) criterion is to choose optimal designs, which is based on the aliased effect-number pattern (AENP). The AENP and GMC criterion have been developed to form GMC theory. Zhang, Yang, Li and Zhang (2015) intr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3788e59c5c882078589d32be8704e544
https://doi.org/10.1080/03610926.2016.1183787
https://doi.org/10.1080/03610926.2016.1183787
Publikováno v:
Metrika. 80:133-152
In factorial experiments, estimation precision of specific factor effects depends not only on design selection but also on factor assignments to columns of selected designs. Usually, different columns in a design play different roles when estimating
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::291c6c021638579afa8dc23eda7dc272
https://doi.org/10.1007/s00184-016-0595-7
https://doi.org/10.1007/s00184-016-0595-7
Publikováno v:
AStA Advances in Statistical Analysis. 100:207-222
An optimal design should minimize the confounding among factor effects, especially the lower-order effects, such as main effects and two-factor interaction effects. Based on the aliased component-number pattern, general minimum lower-order confoundin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a7f3a1cbf773c7ac74e1abca1f8dab97
https://doi.org/10.1007/s10182-015-0259-3
https://doi.org/10.1007/s10182-015-0259-3
Publikováno v:
Journal of Statistical Planning and Inference. 163:43-47
Most existing criteria for selecting efficient factorial designs are based on effect hierarchy principle. It focuses on making best estimations for lower-order effect, with the underlying assumption that the effects of the same order are equally impo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e2f12e811d10aca089ea83ee124a5fac
https://doi.org/10.1016/j.jspi.2015.02.005
https://doi.org/10.1016/j.jspi.2015.02.005