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Modeling in Mathematics

Modeling in Mathematics

Modeling in Mathematics
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Modeling in Mathematics Hardback -

by Olga Moreira (Editor)

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Details

  • Title Modeling in Mathematics
  • Author Olga Moreira (Editor)
  • Binding Hardback
  • Condition Used
  • Pages 362
  • Volumes 1
  • Language ENG
  • Publisher Arcler Press
  • Publication date
  • Bookseller's Inventory # 6379221778
  • ISBN 9781774071434 / 1774071436
  • Weight 1.49 lbs (0.68 kg)
  • Dimensions 9.1 x 6.1 x 1.1 in (23.11 x 15.49 x 2.79 cm)
  • Category Mathematics
  • Quantity available 1

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From the publisher

Modeling in Mathematics deals with the concept of modeling in the field of mathematics. It includes a statistical and spectral model for representing noisy sounds with short-time sinusoids, robust Bayesian regularized estimation based on regression model and robust quadratic regression and its application to energy-growth consumption problem. This book also discusses about intuitionistic fuzzy weighted linear regression model with fuzzy entropy under linear restrictions, a hybrid approach of stepwise regression, logistic regression, support vector machine, and decision tree for forecasting fraudulent financial statements, dynamical analysis in explicit continuous iteration algorithm and its applications, dynamical analysis and chaos control of a discrete sis epidemic model, electricity market stochastic dynamic model and its mean stability analysis and using artificial neural networks to predict direct solar irradiation.

About the author

Olga Moreira obtained her Ph.D. in Astrophysics from the University of Liege (Belgium) in 2010, her BSc. in Physics and Applied Mathematics from the University of Porto (Portugal). Her post-graduate travels and international collaborations with the European Space Agency (ESA) and European Southern Observatory (ESO) led to great personal and professional growth as a scientist. Currently, she is working as an independent researcher, technical writer, and editor in the fields of Mathematics, Physics, Astronomy and Astrophysics.
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