Modeling Monthly Average Temperature of Dhahran City of Saudi-Arabia Using Arima Models
Nurudeen Ayobami Ajadi,
Jimoh Olawale Ajadi,
Adams Saddam Damisa,
Osebekwen Ebenezer Asiribo,
Ganiyu Abayomi Dawodu
Issue:
Volume 3, Issue 5, October 2017
Pages:
40-45
Received:
30 August 2017
Accepted:
19 September 2017
Published:
1 November 2017
Abstract: Temperature is the coldness and hotness of the body and its unit is measured in Celsius. The data used for this research work is the average monthly temperature of Dhahran city which is located in the Kingdom of Saudi Arabia. The data range is from 1951 to 2010, and sample data of 1951 to 2008 was used for the estimation to choose the best model and the sample data from 2009 through 2010 was left for the forecast. Different models were tried but ARIMA (2, 1, 1) (0, 1, 1)12 is selected as the best model because of its low sic and aic criteria and also the forecast error, the best model is used for forecasting.
Abstract: Temperature is the coldness and hotness of the body and its unit is measured in Celsius. The data used for this research work is the average monthly temperature of Dhahran city which is located in the Kingdom of Saudi Arabia. The data range is from 1951 to 2010, and sample data of 1951 to 2008 was used for the estimation to choose the best model an...
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Fitting Models of Vulnerability to Toxicity with Generalized Linear Models
Issue:
Volume 3, Issue 5, October 2017
Pages:
46-57
Received:
21 August 2017
Accepted:
15 September 2017
Published:
8 November 2017
Abstract: People are often exposed to toxic or hazardous (e.g. radioactive radon and lead) elements and rays, without even knowing so. Toxicity often results from an individual’s prolonged exposure to toxic substances. A thorough examination of some individuals’ blood or urine samples for the quantities of hazardous substances or elements, often gives a multivariate data (i.e. matrix of cases against elements) on toxicity. The pertinent response variable is often binary response (or count data) type and hence the Generalized Linear Models (GLM) of it can be fitted using our proposed techniques. This paper purports to identify models in GLM that can be used to study toxicity when it is ‘captured’ as count data or Binary Response Variables (BRV). An illustration of how the techniques work is done by using a sample of data on some artisans.
Abstract: People are often exposed to toxic or hazardous (e.g. radioactive radon and lead) elements and rays, without even knowing so. Toxicity often results from an individual’s prolonged exposure to toxic substances. A thorough examination of some individuals’ blood or urine samples for the quantities of hazardous substances or elements, often gives a mult...
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