Zobrazeno 1 - 10
of 175
pro vyhledávání: '"A. S. Hedayat"'
Publikováno v:
Statistical Theory and Related Fields, Vol 8, Iss 3, Pp 186-194 (2024)
In a [Formula: see text]-factorial experiment with limited resources, when practitioners can identify the non-negligible effects and interactions beforehand, it is common to run an experiment with a saturated design that ensures the unbiased estimati
Externí odkaz:
https://doaj.org/article/15fe7c9f7edc40869cf9f3f85deb3ce4
Publikováno v:
Cureus.
Publikováno v:
Cureus.
Publikováno v:
Journal of Neurosurgery: Case Lessons. 4
BACKGROUND Lead toxicity (plumbism) secondary to retained lead bullet fragments is a rare complication in patients with gunshot wounds. To the authors’ knowledge, there has been no definitive case reported of lead toxicity due to retained intracran
Publikováno v:
Journal of Statistical Planning and Inference. 211:33-40
We contemplate an experimental situation in a 2 k -factorial experiment with acute resource crunch so that we need to conduct just a saturated design [SD] - with the understanding that precision of the estimates cannot be estimated from the data. It
Publikováno v:
Statistics in Biopharmaceutical Research. 13:330-336
Cell-based biological assays (also called bioassays) are an essential analytical tool used for quality assessment of biologic drug substances and drug products. In particular, they are used to dete...
Autor:
Jennifer Pajda-De La O, A. S. Hedayat
Publikováno v:
Sankhya A. 83:696-713
In this paper, we identify and characterize a family of sampling designs such that, under these designs, the sample median is a median-unbiased estimator of the population median. We first consider the simple random sampling case. A simple random sam
Autor:
A. S. Hedayat, Wei Zheng
Publikováno v:
Mindful Topics on Risk Analysis and Design of Experiments ISBN: 9783031066849
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c150c1d7755b8878c49e3a2f3d5e321a
https://doi.org/10.1007/978-3-031-06685-6_8
https://doi.org/10.1007/978-3-031-06685-6_8
Publikováno v:
Statistics & Probability Letters. 153:192-195
The minimum, maximum, and median are important parameters in finite population sampling. We prove that there are no unbiased estimators of the minimum, maximum, or median for finite population sampling under any sampling design except census.
Publikováno v:
Journal of the American Statistical Association. 115:1812-1821
Recently, there have been some major advances in the theory of optimal designs for interference models when the block is arranged in one-dimensional layout. Relatively speaking, the study for two-d...