National Repository of Grey Literature 2 records found  Search took 0.00 seconds. 
Varying coefficient models
Sekera, Michal ; Maciak, Matúš (advisor) ; Komárek, Arnošt (referee)
The aim of this thesis is to provide an overview of the varying coefficient mod- els - a class of regression models that allow the coefficients to vary as functions of random variables. This concept is described for independent samples, longi- tudinal data, and time series. Estimation methods include polynomial spline, smoothing spline, and local polynomial methods for models of a linear form and local maximum likelihood method for models of a generalized linear form. The statistical properties focus on the consistency and asymptotical distribution of the estimators. The numerical study compares the finite sample performance of the estimators of coefficient functions. 1
Recursive calculation of compound distributions
Sekera, Michal ; Mazurová, Lucie (advisor) ; Pešta, Michal (referee)
The aim of this work is the calculation of compound distributions by using the algorithm known as the Panjer recursion. This algorithm is limited to dis- crete distributions and the (a, b, 0) and (a, b, 1) classes of distributions. The thesis shows which distributions are members of these classes. The thesis then descri- bes the discretization of continuous distributions by using the rounding method and the method of local moments matching; everything is explained on exam- ples. These methods are then applied to the calculation of the premium for mo- del of excess of loss reinsurance with reinstatements (XL-reinsurance with re- instatements), and the calculating the solvency capital requirement. Numerical illustrations are included. 1

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