Mathematical Statistics: Linear and Logistic Regression

Utbildningsfakta

Kod: MASM22

<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>

Behörighet

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.

Utbildningstillfällen

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• Mathematical Statistics: Linear and Logistic Regression

  Lund University

  Lund

  Startdatum: 29 mars 2027

  Slutdatum: 6 juni 2027

  Studietakt: 50 %