Standard Statistical Modelling Techniques (using R Software)

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Fee €179

UM Student €159

Dates to be announced

Get notified when this course is available.

23.02.2024 (Optional 3-hr Into on 20.02.2024)

Starting Date

17:00 - 20:00

Time

15 hours

Duration

Online

Location

About the Course

The aim of this course is to provide an introduction to statistical modelling by looking into some of the most popular modelling techniques in this field. In this course we shall also see how such models can be fitted using R software. Familiarity with the use of R software and with correlation analysis and hypothesis testing is assumed.

In this course, we start by exploring the fundamentals of linear modelling. We present and explain the model used to describe the relationships between variables. The same model can also be used to predict unknown values of the response variable of interest. We also discuss tests which can be used to verify that the data being analysed satisfies the assumptions made by the model. A number of goodness of fit measures for such models are also covered. Finally, we shall see how R software can be used to fit these models. Topics covered are: (1) Regression Analysis; (2) Generalized Linear Models (3) Time Series Analysis

Course Trainers

Dr Monique Borg Inguanez, Dr Fiona Sammut and Dr David Suda

Dr Monique Borg Inguanez, Dr Fiona Sammut and Dr David Suda are all lecturers with the Department of Statistics & O.R. at the University of Malta, and have a long-standing experience, of more than 15 years, in teaching Statistics to students at different levels. Furthermore, they have also provided their statistical expertise to people in various sectors such as government authorities, medicine, market research, economics and various scientific fields. The three lecturers obtained a BSc (Hons) in Maths & Statistics & O.R. from the University of Malta followed by an MSc in Statistics also from the University of Malta. Further studies were then pursued in renowned universities in the UK. Dr Monique Borg Inguanez obtained a PhD in Statistics from the University of Leeds, where she conducted research on partial least squares and related methods.

Dr Fiona Sammut

Dr Fiona Sammut obtained a PhD in Statistics from the University of Warwick, where she conducted research on compositional data analysis.

Dr David Suda

Dr David Suda obtained a PhD in Statistics from the University of Lancaster, where he conducted research on statistical inference of diffusion processes.

Contact Details

trainingservices@muhc.com.mt

21240746