| Autor: |
Mohd Salleh, Nur Hanim, Ali, Zalila, Noor, Norlida Mohd., Baharum, Adam, Saad, Ahmad Ramli, Sulaiman, Husna Mahirah, Ahmad, Wan Muhamad Amir W. |
| Předmět: |
|
| Zdroj: |
AIP Conference Proceedings; 2014, Vol. 1605, p844-849, 6p |
| Abstrakt: |
Polynomial regression is used to model a curvilinear relationship between a response variable and one or more predictor variables. It is a form of a least squares linear regression model that predicts a single response variable by decomposing the predictor variables into an nth order polynomial. In a curvilinear relationship, each curve has a number of extreme points equal to the highest order term in the polynomial. A quadratic model will have either a single maximum or minimum, whereas a cubic model has both a relative maximum and a minimum. This study used quadratic modeling techniques to analyze the effects of environmental factors: temperature, relative humidity, and rainfall distribution on the breeding of Aedes albopictus, a type of Aedes mosquito. Data were collected at an urban area in southwest Penang from September 2010 until January 2011. The results indicated that the breeding of Aedes albopictus in the urban area is influenced by all three environmental characteristics. The number of mosquito eggs is estimated to reach a maximum value at a medium temperature, a medium relative humidity and a high rainfall distribution. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
|
