Open access peer-reviewed Edited Volume

Forecasting in Mathematics

Recent Advances, New Perspectives and Applications

Edited by Abdo Abou Jaoude

Notre Dame University - Louaize

Mathematical probability and statistics are an attractive, thriving, and respectable part of mathematics. Some mathematicians and philosophers of science say they are the gateway to mathematics’ deepest mysteries. Moreover, mathematical statistics denotes an accumulation of mathematical discussions connected with efforts to most efficiently collect and use numerical data subject to random or deterministic variations. Currently, the concept of probability and mathematical statistics has become one of the fundamental notions of modern science and the philosophy of nature. This book is an illustration of the use of mathematics to solve specific problems in engineering, statistics, and science in general.

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Forecasting in MathematicsRecent Advances, New Perspectives and ApplicationsEdited by Abdo Abou Jaoude

Published: January 27th 2021

DOI: 10.5772/intechopen.87892

ISBN: 978-1-83880-827-3

Print ISBN: 978-1-83880-825-9

eBook (PDF) ISBN: 978-1-83880-828-0

Copyright year: 2021

Books open for chapter submissions

2225 Total Chapter Downloads

1 Crossref Citations

1 Dimensions Citations


Open access peer-reviewed

1. The Monte Carlo Techniques and the Complex Probability Paradigm

By Abdo Abou Jaoude


Open access peer-reviewed

2. ANFIS TVA Power Plants Availability Modeling Development

By Isa Qamber and Mohamed Al-Hamad


Open access peer-reviewed

3. A Layered Recurrent Neural Network for Imputing Air Pollutants Missing Data and Prediction of NO2, O3, PM10, and PM2.5

By Hamza Turabieh, Alaa Sheta, Malik Braik and Elvira Kovač-Andrić


Open access peer-reviewed

4. Wind Power Forecasting

By Sumit Saroha, Sanjeev Kumar Aggarwal and Preeti Rana


Open access peer-reviewed

5. Stock Market Trend Prediction Using Hidden Markov Model

By Deneshkumar Venugopal, Senthamarai Kannan Kaliyaperumal and Sonai Muthu Niraikulathan


Open access peer-reviewed

6. Electric Load Forecasting an Application of Cluster Models Based on Double Seasonal Pattern Time Series Analysis

By Ismit Mado


Open access peer-reviewed

7. Seeking Accuracy in Forecasting Demand and Selling Prices: Comparison of Various Methods

By Zineb Aman, Latifa Ezzine, Yassine Erraoui, Younes Fakhradine El Bahi and Haj El Moussami


Edited Volume and chapters are indexed in

  • Worldcat
  • OpenAIRE
  • Google Scholar
  • AZ ebsco
  • Base
  • CNKI

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