Published in | American Journal of Theoretical and Applied Statistics (Volume 2, Issue 6) |
DOI | 10.11648/j.ajtas.20130206.16 |
Page(s) | 191-201 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2013. Published by Science Publishing Group |
Factor Analysis, Factor Rotation, Maximum Likelihood Estimation Method, Akaike, Schwarz, Hannan Quinne Information Criteria
[1] | Akaike, H. (1973). Information Theory and Extension of the Maximum Likelihood Principle; Second International Symposium on Information Theory (B.N. Petrov and F. Csaki, Eds.). Budapest Hungary: Akademia Kiado, 267-281 |
[2] | Comrey, A.L., and Lee, H.B. (1992). A First Course in Factor Analysis (2nd Ed.). Hillsdale, NJ: Erlbaum. |
[3] | Harman, H.H. (1976). Modern Factor Analysis (3rd Ed.). Chicago: The University of Chicago Press. |
[4] | Johnson, R.A., and Wichern, D.W. (2007). Applied Multivariate Statistical Analysis (6th Ed.). Prentics Hall, Englewood Cliffs, New Jersey. |
[5] | Onyeagu, S.I. (2003). A First Course in Multivariate Statistical Analysis (1st Ed.). Mega Concept Publishers. |
[6] | Schwarz,G.(1978). Estimating the Dimension of a Model. Annals of Statistics 6, 461-464. |
APA Style
Nwosu F. Dozie, Onyeagu, Sidney I., Osuji, George A., et al. (2013). Method of Maximum Likelihood Estimation of Optimal Number of Factors: An Information Criteria Approach. American Journal of Theoretical and Applied Statistics, 2(6), 191-201. https://doi.org/10.11648/j.ajtas.20130206.16
ACS Style
Nwosu F. Dozie; Onyeagu; Sidney I.; Osuji; George A., et al. Method of Maximum Likelihood Estimation of Optimal Number of Factors: An Information Criteria Approach. Am. J. Theor. Appl. Stat. 2013, 2(6), 191-201. doi: 10.11648/j.ajtas.20130206.16
AMA Style
Nwosu F. Dozie, Onyeagu, Sidney I., Osuji, George A., et al. Method of Maximum Likelihood Estimation of Optimal Number of Factors: An Information Criteria Approach. Am J Theor Appl Stat. 2013;2(6):191-201. doi: 10.11648/j.ajtas.20130206.16
@article{10.11648/j.ajtas.20130206.16, author = {Nwosu F. Dozie and Onyeagu and Sidney I. and Osuji and George A. and Ekezie Dan Dan}, title = {Method of Maximum Likelihood Estimation of Optimal Number of Factors: An Information Criteria Approach}, journal = {American Journal of Theoretical and Applied Statistics}, volume = {2}, number = {6}, pages = {191-201}, doi = {10.11648/j.ajtas.20130206.16}, url = {https://doi.org/10.11648/j.ajtas.20130206.16}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtas.20130206.16}, abstract = {}, year = {2013} }
TY - JOUR T1 - Method of Maximum Likelihood Estimation of Optimal Number of Factors: An Information Criteria Approach AU - Nwosu F. Dozie AU - Onyeagu AU - Sidney I. AU - Osuji AU - George A. AU - Ekezie Dan Dan Y1 - 2013/11/10 PY - 2013 N1 - https://doi.org/10.11648/j.ajtas.20130206.16 DO - 10.11648/j.ajtas.20130206.16 T2 - American Journal of Theoretical and Applied Statistics JF - American Journal of Theoretical and Applied Statistics JO - American Journal of Theoretical and Applied Statistics SP - 191 EP - 201 PB - Science Publishing Group SN - 2326-9006 UR - https://doi.org/10.11648/j.ajtas.20130206.16 AB - VL - 2 IS - 6 ER -