Results 101 to 110 of about 1,299,612 (309)
On stochastic balancing related model reduction
, 2000 We propose a general method based on the balanced stochastic truncation (BST) approach for the model reduction of stable linear systems. The new method relies on a recent general inner-outer factorization result and extends the applicability of the BST ...
A. Varga, Varga, Andras
core
One missing value problem in Latin square design of any order: Exact analysis of variance
Cogent Engineering, 2017 This research proposes a simplified exact approach based on the general linear model for solving the K × K Latin square design (LSD) with one replicate and one missing value, given the lack of ready-made mathematical formulas for the sub-variance.
Kittiwat Sirikasemsuk +1 more
doaj +1 more source
L_2 Differentiability of Generalized Linear Models
Statistics & Probability Letters, 2014 10 ...
Pupashenko, Daria +2 more
openaire +4 more sources
Molecular Oncology, EarlyView.Targeted therapy was evaluated in SHH medulloblastoma using neuroepithelial stem cell (NES) and tumor‐derived NES‐like (tNES) models in 2D monolayers and 3D spheroids. PI3K, AKT, and CDK4/6 inhibitors had minimal effects in NES but markedly reduced viability and growth and induced apoptosis in tNES cells, revealing distinct therapeutic vulnerabilities.
Monika Lukoseviciute +4 more
wiley +1 more source
Results of general linear mixed model analysis.
, 2015 Results of general linear mixed model analysis.
Arnout R. H. Fischer (647847) +3 more
core +1 more source
A General Bayesian Linear Model
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1973 Summary Lindley and Smith (1972), using a hierarchical form of prior structure, derived Bayesian alternatives to least squares estimates for the linear model. This paper examines the Bayesian model in more detail and notes some general properties of the resulting estimators.
openaire +2 more sources
CCDC80 suppresses high‐grade serous ovarian cancer migration via negative regulation of B7‐H3
Molecular Oncology, EarlyView.PAX8 is a lineage‐specific master regulator of transcription in high‐grade serous ovarian cancer (HGSC) progression. We show for the first time that PAX8 facilitates proliferation and metastasis by repressing the cell autonomous tumor suppressor CCDC80 and inducing B7‐H3 expression.
Aya Saleh +12 more
wiley +1 more source
Results of statistical analyses (General Linear Model).
, 2012 Results of statistical analyses (General Linear Model).
Joanna L. Nelson (145007) +1 more
core +1 more source
Postharvest Disease Control Experiments: Challenges on Statistical Methodologies
HorticulturaeIn postharvest disease (PHD) control experiments, treatments with the same observed values for all their replicates are frequently present, which leads to one or more treatments with zero observed variance—this type of data are referred to as data with ...
Aline de Holanda Nunes Maia +3 more
doaj +1 more source
Predicting the Aqueductal Cerebrospinal Fluid Pulse: A Statistical Approach
Applied Sciences, 2019 The cerebrospinal fluid (CSF) pulse in the Aqueduct of Sylvius (aCSF pulse) is often used to evaluate structural changes in the brain. Here we present a novel application of the general linear model (GLM) to predict the motion of the aCSF pulse.
Clive B Beggs +3 more
doaj +1 more source