Astraios Courses

Computational statistics  

Description

Multiple regression, Cholesky decomposition, diagnostics and collinearity, principal components and eigenvalue problems. Nonlinear statistical methods: Maximum likelihood estimation, NewtonRaphson and related methods, multivariate data and the Newton Raphson method, optimization techniques (unconditional and under constraints) EM algorithm. Numerical Integration and Approximation: Newton-Coates method, spline interpolation, Monte Carlo integration, general approximation methods. Probability Density Estimation: Histogram, linear and non-linear smoothing, splines. Bootstrap. Outcome: Not Provided

Delivery mode

Presential
English

Name

Computational statistics
English

UNIVERSITY OF TWENTE

Faculty of Geo-Information Science and Earth Observation

Astraios home page

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