On Constrained Principal Component (CPCA) with Application on Bootstrap | ||||
| The Egyptian Statistical Journal | ||||
| Article 4, Volume 62, Issue 1, June 2018, Page 54-69 PDF (2.94 MB) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/esju.2018.244263 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| Salah M. Mohamed1; Alaa A. Abd Elmegaly2 | ||||
| 1Department of Applied Statistics and Econometrics, Institute of Statistical Studies and Research, Cairo University. Egypt. | ||||
| 2Ph.D student | ||||
| Abstract | ||||
| Linear model (LM) provide the advance in regression analysis, where it was consideres an important development of the last 45 years, following general linear model (GLM), principal component analysis (PCA) and constrained principal component analysis (CPCA) in the last 25 years. This paper introduce a series of papers perpared within the framework of an international workshop. Firstly the LM and GLM has been discusses. Next , and overview of PCA has been presented. Then constrained principal component has been shown. Som of its special cases, related methods and ordinary least squares OLS estimator as a special case form CPCA has been introduced . finally , an example has been introduced to indicate the importance of CPCA and the different between PCA and CPCA. | ||||
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