Linear Models and Regression.

Developments in statistical modelling by: (Language materials, printed)

Geographic data analysis using R by: (Language materials, printed)

Generalized linear mixed models with applications in agriculture and biology by: (Language materials, printed)

Applied linear regression for business analytics with R = a practical guide to data science with case studies / by: (Language materials, printed)

Elementary statistical methods by: (Language materials, printed)

Chemometric Methods in Analytical Spectroscopy Technology by: (Language materials, printed)

Regression = Models, Methods and Applications / by: (Language materials, printed)

IT in Business.

Spectroscopy.

Bayesian Inference.

Quantitative research.

Analytical Chemistry.

Business

Biometry.

R (Computer program language)

Multivariate Analysis.

Multivariate analysis.

Operations Research and Decision Theory.

Statistical Learning.

Statistics.

Non-parametric Inference.

Geography

Parametric Inference.

Analytical chemistry.

Statistics and Computing.

Nonparametric statistics.

Regression analysis.

Statistics .

Integrated Geography.

Geographical Information System.

Data Analysis and Big Data.

Mathematical statistics.

Biostatistics.

Applied Statistics.

Probability Theory.

Business Analytics.

Agriculture.

Linear Models and Regression.

Statistical Theory and Methods.

Spectrum analysis.