Detecting and correcting for heteroscedasticity / Teoh Sian Hoon
The discussion of this paper focuses on detecting the presence of heteroscedasticity using two methods simultaneously: (1) a graph of the residuals versus the independent variable, and (2) Goldfeld- Quandt test. These two methods were applied for the accuracy of detecting heteroscedasticity. Weighte...
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Universiti Teknologi MARA, Pulau Pinang & Pusat Penerbitan Universiti (UPENA)
2007
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Online Access: | http://ir.uitm.edu.my/id/eprint/14876/1/AJ_TEOH%20SIAN%20HOON%20ESTEEM%2007.pdf http://ir.uitm.edu.my/id/eprint/14876/ |
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my.uitm.ir.148762016-10-05T08:33:06Z http://ir.uitm.edu.my/id/eprint/14876/ Detecting and correcting for heteroscedasticity / Teoh Sian Hoon Teoh, Sian Hoon Analysis Calculus Analytic mechanics The discussion of this paper focuses on detecting the presence of heteroscedasticity using two methods simultaneously: (1) a graph of the residuals versus the independent variable, and (2) Goldfeld- Quandt test. These two methods were applied for the accuracy of detecting heteroscedasticity. Weighted least squares was used in correcting the presence of heteroscedasticity. A clear picture on detecting and correcting heteroscedasticity was discussed in a case study. SPSS was used in plotting the graph of residuals against the independent variable and also in analyzing data using weighted least squares. Universiti Teknologi MARA, Pulau Pinang & Pusat Penerbitan Universiti (UPENA) 2007 Article PeerReviewed text en http://ir.uitm.edu.my/id/eprint/14876/1/AJ_TEOH%20SIAN%20HOON%20ESTEEM%2007.pdf Teoh, Sian Hoon (2007) Detecting and correcting for heteroscedasticity / Teoh Sian Hoon. Esteem Academic Journal, 7. pp. 123-133. ISSN 1675-7939 |
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Analysis Calculus Analytic mechanics Teoh, Sian Hoon Detecting and correcting for heteroscedasticity / Teoh Sian Hoon |
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The discussion of this paper focuses on detecting the presence of heteroscedasticity using two methods simultaneously: (1) a graph of the residuals versus the independent variable, and (2) Goldfeld- Quandt test. These two methods were applied for the accuracy of detecting heteroscedasticity. Weighted least squares was used in
correcting the presence of heteroscedasticity. A clear picture on detecting and correcting heteroscedasticity was discussed in a case study. SPSS was used in plotting the graph of residuals against the independent variable and also in analyzing data using weighted least squares. |
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Teoh, Sian Hoon |
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Teoh, Sian Hoon |
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Teoh, Sian Hoon |
title |
Detecting and correcting for heteroscedasticity / Teoh Sian Hoon |
title_short |
Detecting and correcting for heteroscedasticity / Teoh Sian Hoon |
title_full |
Detecting and correcting for heteroscedasticity / Teoh Sian Hoon |
title_fullStr |
Detecting and correcting for heteroscedasticity / Teoh Sian Hoon |
title_full_unstemmed |
Detecting and correcting for heteroscedasticity / Teoh Sian Hoon |
title_sort |
detecting and correcting for heteroscedasticity / teoh sian hoon |
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Universiti Teknologi MARA, Pulau Pinang & Pusat Penerbitan Universiti (UPENA) |
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2007 |
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http://ir.uitm.edu.my/id/eprint/14876/1/AJ_TEOH%20SIAN%20HOON%20ESTEEM%2007.pdf http://ir.uitm.edu.my/id/eprint/14876/ |
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