International Journal of Pure & Applied Bioscience (IJPAB)
Year : 2018, Volume : 6, Issue : 1
First page : (318) Last page : (321)
Article doi: http://dx.doi.org/10.18782/2320-7051.6034

Robust Regression Model for Prediction and Forecasting of Dengue Fever Attacked in Rural Areas of Andhra Pradesh, India

Khadar Babu Shaik^1*, N. Ramachandra² and M. V. Ramanaiah^3
1Assistant Professor (Sr), Department of Mathematics, VIT University, Vellore
²Research Scholar, ³Assistant Professor
Department of Statistics, Sri Venkateswara University, Tirupathi
*Corresponding Author E-mail: khadar.babu36@gmail.com
Received: 23.11.2017  |  Revised: 29.12.2017   |  Accepted: 4.01.2018  

 ABSTRACT

Regression Analysis plays a role in Medical and Agriculture sciences.In, Statistics, it satisfies the standard basic assumptions and gives the ultimate results for certain applications. In this article mainly focus on Dengue fever prediction and forecasting for future in a standard specified rural areas in Nellore District of Andhra Pradesh,India. At, Present in Andhra Pradesh, the people are severely suffering with Dengue fever due to living with poor unhealthy environmental conditions. Here, the author mainly focuses on different poor environmental issues to attack different types of fevers like viral, Typhoid and Dengue. Due to these, the human body should reduce the resistance capacity to protect from different types of Virus, Bacteria etc., Therefore, the robust regression estimate and forecast the number of people should suffer with fever for future coming days due to the poor living standards.    

Key words: Regression equation, The correlation coefficient, Robust Regression

Full Text : PDF; Journal doi : http://dx.doi.org/10.18782

Cite this article: Shaik, K.B., Ramachandra, N. and Ramanaiah, M.V., Robust Regression Model for Prediction and Forecasting of Dengue Fever Attacked in Rural Areas of Andhra Pradesh, India, Int. J. Pure App. Biosci.6(1): 318-321 (2018). doi: http://dx.doi.org/10.18782/2320-7051.6034