Regression analysis helps managers, and businesses in general, recognize and correct errors. Suppose, for example, a retail store manager feels that extending shopping hours will increase sales.

Analysis of high-order correlations in fluorescence fluctuation spectroscopy was developed in the late 1980s but since then has been replaced by alternative brightness analysis methods. However, ...

Hernandez, R. , Garcia, A. and Guerra, F. (2025) Factors Influencing Graduate Student Success on the Texas Principal Exam in a Predominately Hispanic University. Open Journal of Social Sciences, 13, ...

Naturally occurring polymers such as organic matter have been known to inhibit aggregation and promote mobility of suspensions in soil environments by imparting steric stability. This increase in ...

T. Van Gestel et al., Kernel canonical corrrelation analysis and least squares support vector machines, Subset based least squares subspace regression in RKHS, Proc. Int. Conf. Artificial Neural ...

Objective We aimed to estimate prevalence and identify determinants of hypertension in adults aged 15–49 years in Tanzania.

miRNA correlation analysis. Subjects in both GSE47460 and GSE72967 were used to determine microRNA (miRNA) association. A total of 111 subjects were matched, 57 in IPF group 1 and 54 subjects in IPF ...

Canonical Correlation Analysis Zoo: A collection of Regularized, Deep Learning based, Kernel, and Probabilistic methods in a scikit-learn style framework kernel deep pytorch cca pls multiview ...

Study objective: In social epidemiology, it is easy to compute and interpret measures of variation in multilevel linear regression, but technical difficulties exist in the case of logistic regression.