Logistic regression is a statistical method used to model binary outcome variables, such as whether a patient recovers or not, using a set of predictors. There are many competing methods for ...
These are the lecture notes for block 1 of the \textit{Engineering Mathematics~1} (ENG1063) course. They contain the material covered in the lectures and more.
In the past few decades, multi-linear algebra also known as tensor algebra has been adapted and employed as a tool for various engineering applications. Recent developments in tensor algebra have ...
Copyright: © 2015 Elsevier Ltd. Published by Elsevier Ltd.
1 Department of Statistics, Ladoke Akintola University of Technology, Ogbomoso, Nigeria. 2 2Department of Mathematics and Statistics, Lagos State Polytechnic, Ikorodu, Lagos, Nigeria. In regression ...
Analysis of variance (ANOVA) is a usual way for analysing experiments. However, depending on the design and/or the analysis scheme, it can be a hard task. ExpDes, acronym for Experimental Designs, is ...
One of the most interesting challenges in ECoG-based Brain-Machine Interface is movement prediction. Being able to perform such a prediction paves the way to high-degree precision command for a ...
Edited by Joel E. Cohen, The Rockefeller University, New York, NY, and approved December 6, 2011 (received for review August 23, 2011) These results were found for finite-dimensional models. But the ...
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