Principal Component Analysis of Infertility Data
DOI:
https://doi.org/10.31642/JoKMC/2018/010810Keywords:
PCA, Infertility DataAbstract
This paper applied PCA on infertility set of data, that was collected from Al-Nasiriya  province. Infertility of women that have been unable to conceive a child after one year of their marriage without birth control. Since infertility is very common among Iraqi women. Hence our research mainly concern with this disease in order to identify the causes that contribute to this problem.Downloads
References
Brian S.E. & Grham D.(1991).Applied multivariate data analysis. (3er ed.) . New York : John Wiley &
Sons.
Chatfield C. & Collins A.J.(1980).Introduction to multivariate analysis. Chapan & Hall. DOI: https://doi.org/10.1007/978-1-4899-3184-9
Mathada Sivamurthy and Chetna M. Sivamurthy. 2009. Principal Components Analysis of ASFR (Application to the Recent Fertility Schedules around the World).
Richard A.J. & Dean W.W. (2007).Applied multivariate statistical analysis.(6th ed.), Prentice Hall.
ZAFAR M. I. (1996) . Husband-wife Roles as a Correlate of Contraceptive and Fertility Behaviour. The Pakistan Development Review 35 : 2 (Summer 1996) pp. 145—170 DOI: https://doi.org/10.30541/v35i2pp.145-170
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Copyright (c) 2014 Nazera Khalil Dakhil, Hind Restom Mohammed, Hayder Abood kouree
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