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  1. ‪Dr Gurudeo Anand Tularam (PhD; Math; Aust.)‬ - ‪Google Scholar‬

    Are socially responsible investment markets worldwide integrated? Which way does water flow? An econometric analysis of the global price integration of water stocks.

  2. A Quantitative Analysis of Preparedness and Performance: Predictive ...

    Student preparedness at university entry plays a critical role in determining success in mathematics courses. This study investigates how three observable behaviours: (1) completion of weekly problem …

  3. Gurudeo Anand Tularam | IGI Global Scientific Publishing

    Gurudeo Anand Tularam is a Senior Adjunct Research Fellow At the Griffith University. His research expertise in time series and stochastic calculus methods in business and finance applications.

  4. Gurudeo Anand Tularam‬ - ‪Google Scholar‬

    Gurudeo Anand Tularam Senior Lecturer, Griffith University Verified email at griffith.edu.au Mathematics

  5. Gurudeo Tularam - Facebook

    Pandit Dr Gurudeo Anand Tularamji Chaturvedi Phd Mathematics Hind Ratan Award Winner 2014.

  6. Gurudeo Tularam - IntechOpen

    Gurudeo Tularam Research Expertise Pure and applied mathematics research involving partial differential equations. Applications of partial differential equations to real life problems related to …

  7. Dr Gurudeo Anand Tularam - Senior Lecturer at Griffith University ...

    View Dr Gurudeo Anand Tularam’s profile on LinkedIn, a professional community of 1 billion members.

  8. Hoda Rahmati S1, Gurudeo Anand Tularam2 Post-doctoral Researcher, Department of Science Environment Engineering and Technology (ENV), Environmental Futures Research Institute, Griffith …

  9. Gurudeo Anand Tularam - journal-rankings | exaly.com

    This is the scientometric profile of Gurudeo Anand Tularam built by the analysis of articles and citations.

  10. Tularam, G.A. (2010) Relationship between El Nino Southern …

    ABSTRACT: Time-series-based forecasting is essential to determine how past events affect future events. This paper compares the performance accuracy of different time-series models for oil prices.