Results 51 to 60 of about 24,770,333 (307)
Optimal blocked minimum-support designs for non-linear models
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
Nutritional and sensory quality of wheat bread supplemented with cassava and soybean flours
Sixteen composite flours were prepared using D-optimal constrained mixture design within a range of wheat 40–80%, cassava 10–30% and soybean 10–30% to optimize bread nutrient quality and sensory acceptability.
Haimanot H. Ayele +3 more
doaj +1 more source
Atovaquone smart lipid system: Design, statistical optimization, and in-vitro evaluation
The research was undertaken to design, develop and characterize the smart lipid system of an inadequate bioavailable Atovaquone (ATQ). The poor aqueous solubility and dissolution are the major constrain of inadequate bioavailability. The solubility study
Hardik Rana +3 more
doaj +1 more source
On the growth problem for D-optimal designs
When Gaussian elimination with complete pivoting (GECP) is applied to a real n×n matrix A, we will call g(n, A) the associated growth of the matrix. The problem of determining the largest growth g(n) for various values of n is called the growth problem. It seems quite difficult to establish a. value or close bounds for g(n). For specific values of n (n=
Mitrouli, M., Koukouvinos, C.
openaire +3 more sources
ABSTRACT We assessed the effect of iron overload (IO) on mortality and complications following hematopoietic stem cell transplantation (HSCT) in patients with Diamond–Blackfan anemia syndrome (DBAS) in a systematic review of individual participant data and cohort data from observational studies.
Geoffrey Z. L. Kuppens +6 more
wiley +1 more source
D-optimal and highly D-efficient designs with non-negatively correlated observations [PDF]
summary:In this paper we consider D-optimal and highly D-efficient chemical balance weighing designs. The errors are assumed to be equally non-negatively correlated and to have equal variances.
Katulska, Krystyna, Smaga, Łukasz
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D-optimization based model calibration for air mass flow in engines
The aim of this paper is to explore the model calibration method consisting of the effective design of experiment (DoE) and the model selection for DoE.
Mitsuru TOYODA, Tielong SHEN
doaj +1 more source
D-optimal designs via a cocktail algorithm [PDF]
A number of changes after accounting for the referees' comments including new examples in Section 4 and more detailed explanations ...
openaire +2 more sources
ABSTRACT Introduction Physical rehabilitation is highly recognised in improving the quality of life of cancer survivors through prehabilitation, sequelae management and palliative care, yet its integration into routine care in Ghana has not been characterised, leading to potential gaps in service access.
Dorothy Ekua Adjabu +5 more
wiley +1 more source
D-Optimal Designs for Binary and Weighted Linear Regression Models: One Design Variable
D-optimality is a well-known concept in experimental design that seeks to select an optimal set of design points to estimate the unknown parameters of a statistical model with a minimum variance.
Necla Gündüz, Bernard Torsney
doaj +1 more source

