Now showing items 1-6 of 6
Multivariate statistical process evaluation and monitoring for complex chemical processes
(Stellenbosch : Stellenbosch University, 2015-12)
ENGLISH ABSTRACT: In this study, the development of an innovative fully integrated process monitoring methodology is presented for a complex chemical facility, originating at the coal feed from different mines up to the ...
Statistical inference of the multiple regression analysis of complex survey data
(Stellenbosch : Stellenbosch University, 2016-12)
ENGLISH SUMMARY : The quality of the inferences and results put forward from any statistical analysis is directly dependent on the correct method used at the analysis stage. Most survey data analyzed in practice riginate ...
The identification and application of common principal components
(Stellenbosch : Stellenbosch University, 2014-12)
ENGLISH ABSTRACT: When estimating the covariance matrices of two or more populations, the covariance matrices are often assumed to be either equal or completely unrelated. The common principal components (CPC) model ...
A statistical analysis of student performance for the 2000-2013 period at the Copperbelt University in Zambia
(Stellenbosch : Stellenbosch University, 2017-12)
ENGLISH SUMMARY : Education in general, and tertiary education in particular are the engines for sustained development of a nation. In this line, the Copperbelt University (CBU) plays a vital role in delivering the ...
Regularised Gaussian belief propagation
(Stellenbosch : Stellenbosch University, 2018-12)
ENGLISH SUMMARY : Belief propagation (BP) has been applied as an approximation tool in a variety of inference problems. BP does not necessarily converge in loopy graphs and, even if it does, is not guaranteed to provide ...
Biplot methodology for analysing and evaluating missing multivariate nominal scaled data
(Stellenbosch : Stellenbosch University, 2019-12)
ENGLISH ABSTRACT: This research aims at developing exploratory techniques that are specifically suitable for missing data applications. Categorical data analysis, missing data analysis and biplot visualisation are the ...