Results 41 to 50 of about 951,451 (326)
Stated choice experiments with three-level factorial designs
Stated choice experiments have emerged as a powerful evaluative technique for uncovering critical factors within research contexts. In scenarios where resource constraints exist, these experiments offer an invaluable approach to maximizing information ...
Emmanuel Amoah +2 more
doaj +1 more source
Rank‐based procedures in factorial designs: hypotheses about non‐parametric treatment effects [PDF]
Existing tests for factorial designs in the non‐parametric case are based on hypotheses formulated in terms of distribution functions. Typical null hypotheses, however, are formulated in terms of some parameters or effect measures, particularly in ...
E. Brunner +3 more
semanticscholar +1 more source
R Package DoE.base for Factorial Experiments
The R package DoE.base can be used for creating full factorial designs and general factorial experiments based on orthogonal arrays. Besides design creation, some analysis functionality is also available, particularly (augmented) half-normal effects ...
Ulrike Grömping
doaj +1 more source
A distribution-free multi-factorial profiler for harvesting information from high-density screenings. [PDF]
Data screening is an indispensable phase in initiating the scientific discovery process. Fractional factorial designs offer quick and economical options for engineering highly-dense structured datasets.
George J Besseris
doaj +1 more source
The mixture design of cement-based materials can be complex due to the increasing number of constituent raw materials and multiple requirements in terms of engineering performance and economic and environmental efficiency.
Nara Cangussu +3 more
doaj +1 more source
Bayesian regression modeling (for factorial designs): A tutorial
Generalized linear mixed models are handy tools for statistical inference, and Bayesian approaches to applying these become increasingly popular. This tutorial provides an accessible, non-technical introduction to the use and feel of Bayesian mixed ...
M. Franke, Timo B. Roettger
semanticscholar +1 more source
Remote Monitoring in Myasthenia Gravis: Exploring Symptom Variability
ABSTRACT Background Myasthenia gravis (MG) is a rare, autoimmune disorder characterized by fluctuating muscle weakness and potential life‐threatening crises. While continuous specialized care is essential, access barriers often delay timely interventions. To address this, we developed MyaLink, a telemedical platform for MG patients.
Maike Stein +13 more
wiley +1 more source
Split-Plot Central Composite Designs Robust to a Pair of Missing Observations
This study constructs robust split-plot central composite designs against missing pairs of observations. Split-plot central composite designs (CCD) consist of factorial (f), whole-plot axial (α), subplot axial (β), and center (c) points. A loss function
Y. Yakubu, AU Chukwu
doaj +1 more source
We report the national burden of dermatopolymyositis mortality over the past quarter century using the US national vital statistics data. Age‐standardized mortality rates for dermatopolymyositis decreased at an annual rate of 3.8% each year, which was higher than the annual percent decrease for deaths from all other causes.
Elizabeth Matz, Ram R. Singh
wiley +1 more source
Assessing factorial invariance of two-way rating designs using three-way methods
Assessing the factorial invariance of two-way rating designs such as ratings of concepts on several scales by different groups can be carried out with three-way models such as the Parafac and Tucker models.
P. M. Kroonenberg
doaj +1 more source

