Search for dissertations about: "dependent estimators"

Showing result 1 - 5 of 31 swedish dissertations containing the words dependent estimators.

  2. 1. Recursive M-estimators with Dependent Observations

    Author : Ulla Holst; Matematisk statistik; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES;

    Abstract : [abstract missing].... READ MORE

  4. 2. Contributions to subset selection theory

    Author : Göran Broström; Gunnar Kulldorff; Jan Lanke; Umeå universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; populations; subset selection; P -condition; admissibility; reliability of parallel systems; l sequential rejection; dependent estimators; Mathematical statistics; Matematisk statistik; Mathematical Statistics; matematisk statistik;

    Abstract : .... READ MORE

  5. 3. Computer-intensive methods for dependent observations

    Author : Anders Nordgaard; Rainer Dahlhaus; Linköpings universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES;

    Abstract : This dissertation deals with computer-intensive methods for dependent observations. The main part is built up by four papers defining and analyzing a resampling method of bootstrap type for the spectral domain of a stationary Gaussian sequence. The emphasis is on practical aspects as well as on asymptotic validity. READ MORE

  6. 4. Model Error Compensation in ODE and DAE Estimators : with Automotive Engine Applications

    Author : Erik Höckerdal; Erik Frisk; James Peyton-Jones; Linköpings universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Information technology; Informationsteknik; Automatic control; Reglerteknik;

    Abstract : Control and diagnosis of complex systems demand accurate information of the system state to enable efficient control and to detect system malfunction. Physical sensors are expensive and some quantities are hard or even impossible to measure with physical sensors. This has made model-based estimation an attractive alternative. READ MORE

  7. 5. Continuous-Time Models in Kernel Smoothing

    Author : Martin Sköld; Matematisk statistik; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; deconvolution; errors-in-variables; continuous time; dependent data; bandwidth selection; asymptotic variance; Density estimation; kernel smoothing; size bias.; Mathematics; Matematik;

    Abstract : This thesis consists of five papers (Papers A-E) treating problems in non-parametric statistics, especially methods of kernel smoothing applied to density estimation for stochastic processes (Papers A-D) and regression analysis (Paper E). A recurrent theme is to, instead of treating highly positively correlated data as ``asymptotically independent'', take advantage of local dependence structures by using continuous-time models. READ MORE