ICAR Research Data Repository for Knowledge Management
Multiple Linear Regression Model for Prediction of Sheep Pox Outbreaks
KrishiKosh
View Archive Info| Field | Value | |
| Title |
Multiple Linear Regression Model for Prediction of Sheep Pox Outbreaks
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| Creator |
Selvaraju, G.
Balasubramaniam, G.A. |
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| Subject |
Veterinary Science
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| Description |
An epidemiological study was undertaken to develop a multiple linear regression model for prediction of sheep pox outbreaks in North-west agroclimatic zone of Tamil Nadu, India. A total of one and fourteen outbreaks were identiļ¬ed by active and passive surveillances respectively and used in this study. Meteorological data comprising of monthly mean, maximum and minimum temperatures, relative humidity, rainfall and wind speed were collected and used as the multiple predictor variables. ln this model, values of the dependant variables were less than or greater than one, and indicated remote or greater chances of sheep pox outbreaks respectively. |
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| Date |
2018-05-09T11:33:08Z
2018-05-09T11:33:08Z 2015-03 |
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| Type |
Article
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| Identifier |
http://krishikosh.egranth.ac.in/handle/1/5810045153
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| Language |
en_US
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| Relation |
;03
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| Format |
application/pdf
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