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Published February 29, 2020 | Version v1
Journal article Open

Principal Component Analysis - Online Statistical Analysis Tool

  • 1. Department of Mathematics and Statistics, CCS Haryana Agricultural University, Hisar.
  • 2. Assistant Scientist, 3Department of Mathematics and Statistics, CCS Haryana Agricultural University, Hisar
  • 3. Assistant Professor, Economics,,Govt.College, NalwaHisar,
  • 1. Publisher

Description

An online module to deal with PCA has been developed in ASP scripting language based on Server-Client Architecture. The module produces descriptive statistics via subprogram Descriptive Stats, computes eigenvalues and eigenvector using MxEigen Jacobisub-program, order eigenvector through MxEigsrtsub-program and finally produces eigenvalues, eigenvectors, output loadings and components scores through Output Eigenval, Output Loadings, Output Scoressub-programs. A user friendly interface has been developed for entering or pasting the data, entering various parameters such as number of variables, number of observations and selection of covariance/correlation matrix. A complete procedure for how to perform principal component has also been provided in help file

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Is cited by
Journal article: 2249-8958 (ISSN)

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ISSN
2249-8958