Results 31 to 40 of about 231,256 (313)

Construction D-optimal designs of experiments for linear multiple regression with heteroscedastic observations

Журнал Белорусского государственного университета: Математика, информатика, 2019
In article the problem of construction exact D-optimal designs of experiments for linear multiple regression in a case when variance of errors of observations depend on a point in which is made is investigated.
Valery P. Kirlitsa
doaj   +1 more source

Being Uncertain in Chromatographic Calibration—Some Unobvious Details in Experimental Design

Molecules, 2021
This is an introductory tutorial and review about the uncertainty problem in chromatographic calibration. It emphasizes some unobvious, but important details influencing errors in the calibration curve estimation, uncertainty in prediction, as well as ...
Łukasz Komsta, Katarzyna Wicha-Komsta, Tomasz Kocki   +2 more
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Complex D-optimal designs

Discrete Mathematics, 1996
Let \(g(n)\) (resp. \(\gamma(n)\)) be the maximum absolute value of the determinant of all \(n\times n\) matrices whose entries are from \(\{1,-1\}\) (resp. \(\{1,-1,i,-i\})\). The following theorems are proved: (1) \(g(2m)\geq 2^m(\gamma(m))^2\), with equality iff there exists a matrix of the form \((\begin{smallmatrix} A & B\\ -B & A\end{smallmatrix})
openaire   +2 more sources

Designs for generalized linear models with several variables and model uncertainty [PDF]

, 2006
Standard factorial designs may sometimes be inadequate for experiments that aim to estimate a generalized linear model, for example, for describing a binary response in terms of several variables.
D. C. Woods, Lewis, S. M., Woods, D. C., K. G. Russell, Eccleston, J. A., S. M. Lewis, J. A Eccleston, S. M Lewis, D. C Woods, K. G Russell, Russell, K. G., J. A. Eccleston   +11 more
core   +1 more source

D-optimal saturated designs for main effects and interactions in 2k-factorial experiments

Statistical Theory and Related Fields
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 estimation ...
Francois K. Domagni, A. S. Hedayat, Bikas Kumar Sinha   +2 more
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A D-optimal design of order 102

Discrete Mathematics, 1992
The author describes a computer search to construct a \(D\)-optimal design of order 102.
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Delineamentos experimentais eficientes para estudos de cinética química

Química Nova, 2014
In this paper we show how to obtain efficient designs of experiments for fitting Michaelis-Menten and Hill equations useful in chemical studies. The search of exact D-optimal designs by using local and pseudo-Bayesian approaches is considered.
Iuri E. P. Ferreira, Luzia A. Trinca, Cláudia P. Ferreira   +2 more
doaj   +1 more source

Emapalumab for Immune Effector Cell‐Associated Hemophagocytic Lymphohistiocytosis‐Like Syndrome Following CD19‐Directed CAR‐T in Two Patients With B‐ALL: Clinical and Biomarker Correlates

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Immune effector cell‐associated hemophagocytic lymphohistiocytosis‐like syndrome (IEC‐HS) is a life‐threatening hyperinflammatory toxicity distinct from cytokine release syndrome (CRS) and neurotoxicity following chimeric antigen receptor T‐cell (CAR‐T) therapy. In a single‐institution retrospective cohort of pediatric and young adult patients
Thomas J. Galletta, Jeremy D. Rubinstein, Christopher E. Dandoy, Ruby Khoury, Angela Faulhaber, Christine L. Phillips, Christa Krupski   +6 more
wiley   +1 more source

D-optimal designs for Poisson regression models [PDF]

, 2008
We consider the problem of finding an optimal design under a Poisson regression model with a log link, any number of independent variables and an additive linear predictor.
Lewis, S. M., Woods, D. C., Eccleston, J. A., Woods, D.C., Eccleston, J.A., Lewis, S.M., Russell, K.G., Russell, K. G.   +7 more
core  

Optimal blocked minimum-support designs for non-linear models

, 2014
Finding optimal designs for experiments for non-linear models and dependent data is a challenging task. We show how the problem simplifies when the search is restricted to designs that are minimally supported; that is, the number of distinct runs ...
van de Ven, P.M., Woods, D.C.
core   +1 more source