Sökning: "maximum likelihood estimator"
Visar resultat 21 - 25 av 68 avhandlingar innehållade orden maximum likelihood estimator.
21. Order restricted inference over countable preordered sets. Statistical aspects of neutron detection
Sammanfattning : This thesis consists of four papers. In the first paper, we study the isotonic regression estimator over a general countable preordered set. We obtain the limiting distribution of the estimator and study its properties. Also, it is shown that the isotonisation preserves the rate of convergence of the underlying estimator. LÄS MER
22. Classification of Remotely Sensed Data Utilising the Autocorrelation between Spatio-Temporal Neighbours
Sammanfattning : The subject of this thesis is methods for classifying land using satellite images, and adherent parameter estimation. A satellite image consists of a set of pixels where measurements of spectral intensities are observed. Based on these spectral intensities, each pixel is assigned a class. LÄS MER
23. Essays on random effects models and GARCH
Sammanfattning : This thesis consists of four essays, three in the field of random effects models and one in the field of GARCH. The first essay in this thesis, ''Maximum likelihood based inference in the two-way random effects model with serially correlated time effects'', considers maximum likelihood estimation and inference in the two-way random effects model with serial correlation. LÄS MER
24. Applications of common principal components in multivariate and high-dimensional analysis
Sammanfattning : This thesis consists of four papers, all exploring some aspect of common principal component analysis (CPCA), the generalization of PCA to multiple groups. The basic assumption of the CPC model is that the space spanned by the eigenvectors is identical across several groups, whereas eigenvalues associated with the eigenvectors can vary. LÄS MER
25. Topics in projective algebraic optimization
Sammanfattning : This thesis explores optimization challenges within algebraic statistics, employing both topological and geometrical methodologies to derive new insights. The main focus is the optimization degree of nearest point and Gaussian maximum likelihood estimation problems with algebraic constraints. LÄS MER