Multivariate analysis of hydrophobic descriptors

Multivariate analysis of hydrophobic descriptors

Multivariate approaches like principal component analysis (PCA) are powerful tools to investigate hydrophobic descriptors and to discriminate between intrinsic hydrophobicity and polar contributions as hydrogen bonds and other electronic effects. PCA of log P values measured for 37 solutes in eight solventwater systems and of hydrophobic octanol-water substituent constants  for 25 metaand para...

Image Classification with Multivariate Gaussian Descriptors

Techniques based on Bag Of Words approach represent images by quantizing local descriptors and summarizing their distribution in a histogram. Differently, in this paper we describe an image as multivariate Gaussian distribution, estimated over the extracted local descriptors. The estimated distribution is mapped to a high-dimensional descriptor, by concatenating the mean vector and the projecti...

Application of topological and physicochemical descriptors: QSTR analysis of the toxicity of benzene derivatives

multivariate analysis of factors

background: according to the measurements literature reliability of the test refers to the consistency of the test results and shows whether the obtained score is stable indication of the student’s performance in particular test reliability can be measured by different statistics formula. purpose: to determine the factors influenced the reliability of 392 mcq examinations. methods: the correlat...

Modeling of Banks ‌Bankruptcy in Iran (Multivariate Statistical Analysis)

In this paper we construct a modeling for detection of banks which are experiencing serious problems. Sample and variable set of the study contains 30 banks of Iran during 2006-2014 and their financial ratios. Well known multivariate statistical technique (principal component analysis) was used to explore the basic financial characteristics of the banks, and discriminant Logit and Probit models ...