Results 51 to 60 of about 3,947,290 (367)

Scientific Endeavors of A.M. Mathai: An Appraisal on the Occasion of his Eightieth Birthday, April 2015

, 2015
A.M. Mathai is Emeritus Professor of Mathematics and Statistics at McGill University, Canada, and Director of the Centre for Mathematical and Statistical Sciences, India.
Haubold, H. J., Mathai, A. M.
core   +2 more sources

Discussion of: Statistical analysis of an archeological find

, 2008
Discussion of ``Statistical analysis of an archeological find'' by Andrey Feuerverger [arXiv:0804.0079]Comment: Published in at http://dx.doi.org/10.1214/08-AOAS99F the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Institute of ...
Mortera, J., Vicard, P.
core   +4 more sources

Determination of Significant Parameters on the Basis of Methods of Mathematical Statistics, and Boolean and Fuzzy Logic

Mathematics, 2022
Among the set of parameters for which data are collected for decision-making based on artificial intelligence methods, often only some of the parameters are significant.
Yulia Shichkina, Mikhail Petrov, Fatkieva Roza   +2 more
doaj   +1 more source

The MSA Atrophy Index (MSA‐AI): An Imaging Marker for Diagnosis and Clinical Progression in Multiple System Atrophy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Reliable biomarkers are essential for tracking disease progression and advancing treatments for multiple system atrophy (MSA). In this study, we propose the MSA Atrophy Index (MSA‐AI), a novel composite volumetric measure to distinguish MSA from related disorders and monitor disease progression. Methods Seventeen participants with an
Paula Trujillo, Kilian Hett, Amy Cooper, Amy E. Brown, Jessica Iregui, Manus J. Donahue, M. Erik Landman, Italo Biaggioni, Margaret Bradbury, Cynthia Wong, David Stamler, Daniel O. Claassen   +11 more
wiley   +1 more source

Fixel‐Based Analysis of Diffusion Imaging as a Quantitative Marker of Disease State in Spinocerebellar Ataxia

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Spinocerebellar ataxias (SCAs) are a group of genetically heterogeneous neurodegenerative diseases causing progressive deterioration and reduced quality of life. Therapeutic advances have been limited by a lack of sensitive anatomic, functional, or diffusion imaging‐based biomarkers.
David J. Arpin, S. H. Subramony, the READISCA Consortium, David E. Vaillancourt, Tetsuo Ashizawa, Alexandra Durr, Thomas Mareci, Thomas Klockgether, Jennifer Faber, Henry L. Paulson, Gülin Öz, Matthew R. Burns   +11 more
wiley   +1 more source

Discussion of: Bayesian views of an archaeological find

, 2008
Discussion of ``Statistical analysis of an archeological find'' by Andrey Feuerverger [arXiv:0804.0079]Comment: Published in at http://dx.doi.org/10.1214/08-AOAS99B the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Institute of ...
Kadane, Joseph B.
core   +1 more source

Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics

, 1981
Several issues relating to goodness of fit in structural equations are examined. The convergence and differentiation criteria, as applied by Bagozzi, are shown not to stand up under mathematical or...
C. Fornell, D. Larcker
semanticscholar   +2 more sources

Thermodynamic analysis of casting titanium alloys is the basis of information support in the optimal foundry technology development

Литьë и металлургия, 2022
The necessity of systematic formation of intellectual connections for integration into a single complex of currently fragmented software products for the technological analysis of the castings geometry, thermodynamic modeling of the titanium alloys ...
T. A. Rad, M. V. Iksanov, V. M. Golod, Yu. Yu. Malinkina   +3 more
doaj   +1 more source

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

International Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez, Mauro Gaggero, Andrea Serani   +2 more
wiley   +1 more source

The study of the stability of asphalt concrete mixture composition optimization mathematical models using imitative simulation

Transport, 2003
The method of statistical imitative simulation (Monte-Carlo) was used to simulate the heterogeneity of the produced asphalt concrete mixture (ACM) mineral part grading.
Valentinas Podviezko, Henrikas Sivilevičius   +1 more
doaj   +1 more source