Adhikari, R., and Agrawal, R. K., (2013), An Introductory Study on Time Series

Modeling and Forecasting, Lap Lambert Academic Publishing GmbH KG.

Arbib, M. A., (2003), The Handbook of Brain Theory and Neural Networks. Second

Edition. MIT Press, Cambridge.

Box, G. E. P and Jenkins, G.M., (1976), Time series analysis: Forecasting and control,

Holden-Day, San Francisco

Criswell, J.A. and Lin, E. B., (2021), River Flow Forecasting Using an Inverse Wavelet

Transform Neural Network Approach. Int. J. of Applied Mathematics, Computational

Science and Systems Engineering. 3, 1, p. 67-70

Cryer, J.D. and Chan, K. S., (2008), Time Series Analysis with Application in

R. Second Edition. Springer, New York.

Donald B. Percival, Muyin, W. and James E. Overland, (2004), An Introduction to

Wavelet Analysis with Application to Vegetation Time Series, University of

Washington.

Fausett, L., (1994), Fundamentals of Neural Network. Prentice Hall, Hoboken

Franses, P. H. and Dijk, D. V., (2000), Non-Linear Time Series Models in Empirical

Finance. Cambridge University Press

Hagan, M.T., Demuth, H.B. and Beale, M., (1996), Neural Network Design. PWS

Publishing Co., Boston.

Hamid, E.Y., (2011), Use of Box–Jenkins and Artificial Neural Networks Models in

Time Series Prediction for Sudanese Agricultural Sector, Conference: 3rd International

Union of Arab Statisticians Scientific Conference 2011, Amman, Jordan, 501, 471-511

Cascio, I. L., (2007), Wavelet Analysis and De-noising: new Tool for Economists,

University of London.

Kamruzzaman, J. Begg, R and Sarker, R., (2006), Artificial Neural Networks in Finance

and Manufacturing. Idea Group Publishing, USA.

Kirchgässner, G. and Wolters, J., (2007) Introduction to Modern Time Series Analysis,

Springer-Verlag Berlin Heidelberg.

Kitagawa, G., (2010), Introduction to Time Series Modeling. Chapman & Hall/CRC

Press, Boca Raton; Taylor & Francis Group

Palit, A. K. & Popovic, D., (2005), Computational Intelligence in Time Series

Forecasting, Springer, Germany

Gengay, R. Selguk, F. and Whitcher, B., (2002), An Introduction to Wavelet and other

Filtering Methods in Finance and Economics.

Hang, G. P., (2003), Time series forecasting using a hybrid ARIMA and neural network

model. Neurocomputing 50, 159-175.

Ouyang, K. Hou, Y. Zhou, S. and Zhang, Y., (2021), Adaptive Multi-Scale Wavelet

Neural Network for Time Series Classification. Information, 12, no 6, 252. 1-14

TSAY, R., (2005), Analysis of Financial Time Series, Second Edition, University of

Chicago, Published by John Wiley & Sons,

Yule, G. U., (1926), Why do we sometimes get nonsense-correlations between timeseries?

A study in sampling and the nature of time-series.” Journal of the Royal

Statistical Society, 89, 1, 1-63

Zivot, E. and Wang, J., (2005), Modeling Financial Time Series with S-PLUS, Second

Edition Springer, New York.