Results 21 to 30 of about 144,309 (270)
Evidence and Credibility: Full Bayesian Significance Test for Precise Hypotheses
: A Bayesian measure of evidence for precise hypotheses is presented. The intention is to give a Bayesian alternative to significance tests or, equivalently, to p-values. In fact, a set is defined in the parameter space and the posterior probability, its
Julio Michael Stern +1 more
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Tracking fluctuating targets in extremely heterogeneous clutter using amplitude information
This study analyses the radar fluctuating target detection in G(0)-distributed clutter using dynamic programming – track before detect (DP-TBD) algorithm. G(0)-distributed clutter is often used to fit the complex circumstances. The authors use chi-square
Feng Li +4 more
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A numerical integration-based Kalman filter for moderately nonlinear systems
This paper introduces a computationally efficient data assimilation scheme based on Gaussian quadrature filtering that potentially outperforms current methods in data assimilation for moderately nonlinear systems.
Sarah A. King +2 more
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A New R-Function to Estimate the PDF of the Product of Two Uncorrelated Normal Variables
This paper analyses the implementation of a procedure using the software R to calculate the Probability Density Function (PDF) of the product of two uncorrelated Normally Distributed Random Variables.
Antonio Seijas-Macias +2 more
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Feedback Integrators for Mechanical Systems with Holonomic Constraints
The feedback integrators method is improved, via the celebrated Dirac formula, to integrate the equations of motion for mechanical systems with holonomic constraints so as to produce numerical trajectories that remain in the constraint set and preserve ...
Dong Eui Chang +2 more
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Bayesian Logistic Regression Model for Sub-Areas
Many population-based surveys have binary responses from a large number of individuals in each household within small areas. One example is the Nepal Living Standards Survey (NLSS II), in which health status binary data (good versus poor) for each ...
Lu Chen, Balgobin Nandram
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Taylor Polynomials in a High Arithmetic Precision as Universal Approximators
Function approximation is a fundamental process in a variety of problems in computational mechanics, structural engineering, as well as other domains that require the precise approximation of a phenomenon with an analytic function. This work demonstrates
Nikolaos Bakas
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Original Approaches for Solving Electromagnetic Interference Problems
The accurate calculation of the current densities induced in layered soil by HV transmission lines in normal conditions is one of the most important steps in the study of the electromagnetic interference between transmission lines and underground ...
CHRISTOFORIDIS, G. C. +4 more
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ABSTRACT Background Pediatric patients with extracranial solid tumors (ST) receiving chemotherapy are at an increased risk for Pneumocystis jirovecii pneumonia (PJP). However, evidence guiding prophylaxis practices in this population is limited. A PJP‐related fatality at our institution highlighted inconsistent prescribing approaches and concerns about
Kriti Kumar +8 more
wiley +1 more source
ABSTRACT Background While Wilms tumor (WT) typically has a favorable prognosis, relapsed cases—especially those with high‐risk histology—remain therapeutically challenging after intensive frontline therapy. The combination of vincristine and irinotecan has demonstrated activity in pediatric solid tumors, and pazopanib, a multi‐targeted tyrosine kinase ...
Maria Debora De Pasquale +6 more
wiley +1 more source

