Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Chukwuemeka O. OMEKARA"'
Singular value decomposition (SVD) of rectangular datasets has proved to be a useful multivariate data decomposition approach because of its ability to decompose both square and rectangular matrices. Choi & Huh (1996) SVD approach utilizes the median
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7e0e6ef59bd3b847f9ada8f35e75fb1
https://doi.org/10.21203/rs.3.rs-2089244/v1
https://doi.org/10.21203/rs.3.rs-2089244/v1
Publikováno v:
International Journal of Scientific and Research Publications (IJSRP). 10:406-418
Publikováno v:
Asian Journal of Probability and Statistics. :1-10
An indicative feature of a principal component analysis (PCA) variant to the multivariate data set is the ability to transform correlated linearly dependent variables to linearly independent principal components. Back-transforming these components wi
Publikováno v:
Asian Journal of Probability and Statistics. :1-13
Tobacco manufacturers see the tobacco moisture content as one of the determining factors in the quality of the finished tobacco product. During primary processing stage, the Particle Size Distribution (PSD) of the cut tobacco is a good measure of the
Publikováno v:
Journal of the Indian Society for Probability and Statistics. 19:321-343
Time series, especially those with the cubic trend component, are encountered in many data analysis situations. The decomposition of such series into various components requires a method that can adequately estimate the cubic trend as well as other c