International Journal of Statistics and Applied Mathematics
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International Journal of Statistics and Applied Mathematics

2020, Vol. 5, Issue 4, Part B

Manipulating large-scale data in software reliability studies


Author(s): R Jeromia Muthuraj, A Mohamed Ashik and SM Karthik

Abstract: Availability of information is abundant in this modern world due to the developments taking place in this ICT field. Drawing inference from such data requires the development of new methodologies. Dimensionality reduction with less amount of loss of information can be considered as one of the suitable solutions to this issue. This paper proposes a statistical methodology to reduce the dimension of the data with less amount of loss of information. The procedure was hierarchical Clustering method and extraction of principal components analysis. Applications of the methodology are illustrated with a data set.

Pages: 100-102 | Views: 134 | Downloads: 8

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How to cite this article:
R Jeromia Muthuraj, A Mohamed Ashik, SM Karthik. Manipulating large-scale data in software reliability studies. Int J Stat Appl Math 2020;5(4):100-102.
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