A study on the higher moments of a biased estimator / Ng Set Foong, Low Heng Chin and Quah Soon Hoe
In this paper, the biased estimator that is derived in Ng, Low, and Quah (2007) is further studied. The expression for the higher moments of the estimator is important if we want to know the whole sampling properties of the estimator. Hence, a general expressionfor the higher moments of the estimato...
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| Language: | English |
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Universiti Teknologi MARA, Pulau Pinang & Pusat Penerbitan Universiti (UPENA)
2008
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| Online Access: | http://ir.uitm.edu.my/id/eprint/4026/ http://ir.uitm.edu.my/id/eprint/4026/1/AJ_NG%20SET%20FOONG%20ESTEEM%2008.pdf |
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uitm-4026 |
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eprints |
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uitm-40262017-02-22T09:27:26Z http://ir.uitm.edu.my/id/eprint/4026/ A study on the higher moments of a biased estimator / Ng Set Foong, Low Heng Chin and Quah Soon Hoe Ng, Set Foong Low, Heng Chin Quah, Soon Hoe Evolutionary programming (Computer science). Genetic algorithms Analytic mechanics In this paper, the biased estimator that is derived in Ng, Low, and Quah (2007) is further studied. The expression for the higher moments of the estimator is important if we want to know the whole sampling properties of the estimator. Hence, a general expressionfor the higher moments of the estimator is derived in this paper. Furthermore, the bias, variance, mean squared error, skewness and kurtosis of the estimator are derived from the higher moments of the estimator. Universiti Teknologi MARA, Pulau Pinang & Pusat Penerbitan Universiti (UPENA) 2008 Article PeerReviewed text en http://ir.uitm.edu.my/id/eprint/4026/1/AJ_NG%20SET%20FOONG%20ESTEEM%2008.pdf Ng, Set Foong and Low, Heng Chin and Quah, Soon Hoe (2008) A study on the higher moments of a biased estimator / Ng Set Foong, Low Heng Chin and Quah Soon Hoe. Esteem Academic Journal, 4 (2). pp. 15-30. ISSN 1675-7939 |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
Universiti Teknologi MARA |
| building |
UiTM Institutional Repository |
| collection |
Online Access |
| language |
English |
| topic |
Evolutionary programming (Computer science). Genetic algorithms Analytic mechanics |
| spellingShingle |
Evolutionary programming (Computer science). Genetic algorithms Analytic mechanics Ng, Set Foong Low, Heng Chin Quah, Soon Hoe A study on the higher moments of a biased estimator / Ng Set Foong, Low Heng Chin and Quah Soon Hoe |
| description |
In this paper, the biased estimator that is derived in Ng, Low, and Quah (2007) is further studied. The expression for the higher moments of the estimator is important if we want to know the whole sampling properties of the estimator. Hence, a general expressionfor the higher moments of the estimator is derived in this paper. Furthermore, the bias, variance, mean squared error, skewness and kurtosis of the estimator are derived from the higher moments of the estimator. |
| format |
Article |
| author |
Ng, Set Foong Low, Heng Chin Quah, Soon Hoe |
| author_facet |
Ng, Set Foong Low, Heng Chin Quah, Soon Hoe |
| author_sort |
Ng, Set Foong |
| title |
A study on the higher moments of a biased estimator / Ng Set Foong, Low Heng Chin and Quah Soon Hoe |
| title_short |
A study on the higher moments of a biased estimator / Ng Set Foong, Low Heng Chin and Quah Soon Hoe |
| title_full |
A study on the higher moments of a biased estimator / Ng Set Foong, Low Heng Chin and Quah Soon Hoe |
| title_fullStr |
A study on the higher moments of a biased estimator / Ng Set Foong, Low Heng Chin and Quah Soon Hoe |
| title_full_unstemmed |
A study on the higher moments of a biased estimator / Ng Set Foong, Low Heng Chin and Quah Soon Hoe |
| title_sort |
study on the higher moments of a biased estimator / ng set foong, low heng chin and quah soon hoe |
| publisher |
Universiti Teknologi MARA, Pulau Pinang & Pusat Penerbitan Universiti (UPENA) |
| publishDate |
2008 |
| url |
http://ir.uitm.edu.my/id/eprint/4026/ http://ir.uitm.edu.my/id/eprint/4026/1/AJ_NG%20SET%20FOONG%20ESTEEM%2008.pdf |
| first_indexed |
2023-09-18T22:46:52Z |
| last_indexed |
2023-09-18T22:46:52Z |
| _version_ |
1777417283136651264 |