Search for dissertations about: "multiple regression"

Showing result 1 - 5 of 326 swedish dissertations containing the words multiple regression.

  1. 1. Multiple Time Scales and Longitudinal Measurements in Event History Analysis

    University dissertation from Umeå : Statistik

    Author : Danardono; Umeå universitet.; [2005]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Statistics; Cox regression; multiple events; proportiona hazards; random effects; survival analysis; time-dependent covariates; time origin; Statistik; SOCIAL SCIENCES Statistics; computer and systems science Statistics; SAMHÄLLSVETENSKAP Statistik; data- och systemvetenskap Statistik; Statistics; statistik;

    Abstract : A general time-to-event data analysis known as event history analysis is considered. The focus is on the analysis of time-to-event data using Cox's regression model when the time to the event may be measured from different origins giving several observable time scales and when longitudinal measurements are involved. READ MORE

  2. 2. Evaluation of Students' Attitudes Towards Vocational Education in Jordan

    University dissertation from Lärarutbildningen, Malmö högskola

    Author : Ahmed Al-Sa'd; Malmö University.; Malmö University.; [2007]
    Keywords : SOCIAL SCIENCES Social sciences Pedgogical work; SAMHÄLLSVETENSKAP Socialvetenskap Pedagogiskt arbete; Humanities Social Sciences; attitudes; students attitudes; vocational education; psychometrics; scaling techniques; factor analysis; multiple regression; logistic regression; attitude behaviour relationship;

    Abstract : This doctoral dissertation consists of the empirical main study and the explorative study. The main goal of the empirical study has been to acquire knowledge about students’ attitudes towards vocational education in Jordan, and to explore the dimensionality of their attitudes as well. READ MORE

  3. 3. Identifying Influential Observations in Nonlinear Regression a focus on parameter estimates and the score test

    University dissertation from Stockholm : Department of Statistics, Stockholm University

    Author : Karin Stål; Stockholms universitet.; [2015]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Added parameter plot; differentiation approach; influential observation; nonlinear regression; score test; statistik; Statistics;

    Abstract : This thesis contributes to influence analysis in nonlinear regression and in particular the detection of influential observations. The focus is on a regression model with a known mean function, which is nonlinear in its parameters and where the function is chosen according to the knowledge about the process generating the data. READ MORE

  4. 4. Environmental risk factors for multiple sclerosis

    University dissertation from Umeå : Umeå Universitet

    Author : Jonatan Salzer; Umeå universitet.; [2013]
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Multiple sclerosis; risk factors in epidemiology; prospective; month of birth; vitamin D; vitamin A; C-reactive protein; hygiene hypothesis; smoking; cotinine; Epstein-Barr virus; Epidemiology; epidemiologi;

    Abstract : Background Multiple sclerosis (MS) is a chronic inflammatory disease of the central nervous system. It usually strikes during young adulthood, and 2.5 million individuals are estimated to have the disease worldwide. READ MORE

  5. 5. Bilinear Regression and Second Order Calibration

    University dissertation from Stockholm : Stockholm University

    Author : Marie Linder; Stockholms universitet.; [1999]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; chemometrics; calibration; multivariate; hyphenated methods; matrix data; bilinear model; least squares; singular value decomposition; generalized rank annihilation; trilinear decomposition; parallel factor analysis; principal components regression; partial least squares; prediction; matematisk statistik; Mathematical Statistics;

    Abstract : We consider calibration of second-order (or "hyphenated") instruments for chemical analysis. Many such instruments generate bilinear two-way (matrix) type data for each specimen. The bilinear regression model is to be estimated from a number of specimens of known composition. READ MORE