Data Entry in SPSS, Regression, Multivariate analysis, Classification of Qualitative Data with SPSS, Principal Component Analysis, Probability Distributions, Sample Descriptive Measures ...

SPSS is the name of a series of software packages used for data analysis. Its main selling point is that it allows scientific researchers, teachers and students to quickly analyze data without ...

Principal component analysis (PCA) is a classical machine learning technique. The goal of PCA is to transform a dataset into one with fewer columns. This is called dimensionality reduction. The ...

Compositional data, consisting of vectors of proportions, have proved difficult to handle statistically because of the awkward constraint that the components of each vector must sum to unity. Moreover ...

Wireline logging plays a critical role in coalbed methane exploration. However, the lack of crucial log data, such as neutron and sonic logs, makes coalbed methane exploration difficult. In this paper ...