| NMAC19 | Regression Analysis and Queueing Theory, 6 ECTS credits. /Regressionsanalys med köteori / |
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Prel. scheduled
hours: 44 |
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Area of Education: Science Subject area: Mathematics |
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| Advancement level
(A-D): C
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| Aim: To give knowledge of models, describing relationships between variables, and ability to apply the models to data. To give knowledge of queueing models and their applications. |
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| Prerequisites: (valid for students admitted to programmes within which the course is offered) NMAB06 Mathematical Statistics, first course, or a similar course. Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshhold requirements for progression within the programme, or corresponding. |
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| Organisation: The teaching consists of lectures, lessons and obligatory computer exercises. |
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| Course contents: Random vectors and multivariate normal distribution. Multiple linear regression: parameter estimation, tests, confidence and prediction intervals, residual analysis, transformation of variables, model selection. Queueing Theory: The Poisson process, Markov processes, Little´s Formula, Markov queueing systems (one server, several servers, finite and infinite carrying capacity), Erlang´s formulae, more general queueing systems, networks of queueing systems, simulation of queueing systems. |
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| Course literature: Information will be given later. |
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| Examination: | |||
| A written examination Computer exercises |
3,5 p 0,5 p |
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Course language is English. Department offering the course: MAI. Director of Studies: Eva Enqvist Examiner: John M. Noble Course Syllabus in Swedish |
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