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 with the samples and variables a...
Open access
Research Article10.9734/ajpas/2019/v3i430098
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 tobacco moisture content. Thi...
Open access
Research Article10.9734/ajpas/2019/v3i330096
Response surface methodology (RSM) is a collection of tools developed in the 1950s for the purpose of determining optimum operating conditions. In this work, a three level three factor (33) factorial design that metamorphosed to the response surface design with two augmented cent...
Open access
Research Article10.9734/ajpas/2022/v16i330404
In this paper, we propose a new lifetime distribution called the generalized weighted Rama (GWR) distribution, which extends the two-parameter Rama distribution and has the Rama distribution as a special case. The GWR distribution has the ability to model data sets that have posi...
Open access
Research Article10.9734/arjom/2020/v16i1230250