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Lund University
Mathematical Statistics: Linear and Logistic Regression
<p>How can we explain and quantify the effect of underlying variables on the probability of an event?</p><p>Least squares and maximum-likelihood-method; odds ratios; Multiple and linear regression; Matrix formulation; Methods for model validation, residuals, outliers, influential observations, multi co-linearity, ch…
- Higher education
- Information unavailable
- 23 March 2026
- Information unavailable
- Information unavailable
- 50 %
Overview
<p>How can we explain and quantify the effect of underlying variables on the probability of an event?</p><p>Least squares and maximum-likelihood-method; odds ratios; Multiple and linear regression; Matrix formulation; Methods for model validation, residuals, outliers, influential observations, multi co-linearity, change of variables; Choice of regressors, F-test, likelihood-ratio-test; Confidence intervals and prediction. Introduction to: Correlated errors, Poisson regression as well as multinomial and ordinal logistic regression.</p><p>https://www.maths.lu.se/english/education/all-courses/courses-faculty-of-science/</p>
Admission scores
Entry requirements
60 ECTS credits, and knowledge corresponding to MASA01 Mathematical Statistics: Basic Course, 15 credits, MASB02 Mathematical statistics for chemists, 7.5 credits, MASB03 Mathematical statistics for physicists, 9 credits or MASB11 Biostatistics - basic course, 7.5 credits (i.e. an introductory course in mathematical statistics). English 6/English Course B.
The text is reproduced from the Susa source. Antagningsdata does not map GY11 and GY25 or assess personal eligibility.
Source, measure and data quality
- Source
- Skolverket Susa-navet
- Period
- 2026-03-23
- Measure
- Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
- Population
- Education offering e.uoh.lu.masm22.52953.20261
- Last checked
- 2026-09-23T10:38:33.477975+00:00
- Limitation
- Antagningsdata does not map GY11 and GY25. General and specific conditions are not separated without structured source data.
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About the provider
Sources and data quality
Education facts for the selected offering come from Skolverket Susa-navet.
Retrieved . Published . Times are shown in Swedish local time.
Source identity and publication version
- Publication version
- 8e217193-f5fa-4778-b085-a4521fd03e8d
- Education identity in the source
- i.uoh.lu.masm22.52953.20261
- Offering identity in the source
- e.uoh.lu.masm22.52953.20261
- Education-form source code
- HS
- Education code in the source
- MASM22
- Change time according to the source
- 2025-07-09T12:15:42
The provider, education and education offering are separate identities. Application information should be checked on the official website. Supplementary statistics have not been obtained from this source.