Search for dissertations about: "Quantile regression"

Showing result 1 - 5 of 23 swedish dissertations containing the words Quantile regression.

  1. 1. Nonlinear Quantile Regression for Longitudinal Data

    Author : Andreas Karlsson; [2005]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; bootstrap; dependent errors; median regression; Monte Carlo simulation; panel data; repeated measures; SOCIAL SCIENCES Statistics; computer and systems science Statistics; SAMHÄLLSVETENSKAP Statistik; data- och systemvetenskap Statistik; SOCIAL SCIENCES Statistics; computer and systems science Statistics Biostatistics; SAMHÄLLSVETENSKAP Statistik; data- och systemvetenskap Statistik Biostatistik;

    Abstract : The overall objective of the two papers in this thesis is to examine the properties of the weighted nonlinear quantile regression estimator for the analysis of longitudinal data. To this end, the question of which weights to be used, the bias of the estimator and the possibility to calculate confidence intervals has to be examined. READ MORE

  2. 2. Regression Analysis of Censored Data with Applications in Perimetry

    University dissertation from Mathematical Statistics, Centre for Mathematical Sciences, Lund University

    Author : Anna Lindgren; [1999]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; censored covariate; L_1 minimization; right-censoring; Quantile regression;

    Abstract : This thesis treats regression analysis when either the dependent or the independent variable is censored. We deal with quantile regression when the dependent variable is censored. READ MORE

  3. 3. Estimation and Inference for Quantile Regression of Longitudinal Data With Applications in Biostatistics

    University dissertation from Uppsala : Acta Universitatis Upsaliensis

    Author : Andreas Karlsson; Johan Lyhagen; Ulf Olsson; Kenneth Carling; [2006]
    Keywords : Statistics; Bias correction; Bootstrap; Dependent errors; Hypothesis testing; Nonlinear model; Simulation study; Statistik;

    Abstract : This thesis consists of four papers dealing with estimation and inference for quantile regression of longitudinal data, with an emphasis on nonlinear models.The first paper extends the idea of quantile regression estimation from the case of cross-sectional data with independent errors to the case of linear or nonlinear longitudinal data with dependent errors, using a weighted estimator. READ MORE

  4. 4. Commuting time choice and the value of travel time

    University dissertation from Örebro : Örebro universitet

    Author : Jan-Erik Swärdh; Lars Hultkrantz; Bruno De Borger; [2009]
    Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Value of time; Value of travel time; Commuting; Commuting time changes; Value of commuting time; Register data; On-the-job search; Revealed preferences; Stated preferences; Hypothetical bias; Scheduling constraints; Relocations; Certainty calibration; Quantile regression; Mixed logit; Gender differences; SOCIAL SCIENCES Business and economics Economics; SAMHÄLLSVETENSKAP Ekonomi Nationalekonomi; SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; Economics; Nationalekonomi;

    Abstract : In the modern industrialized society, a long commuting time is becoming more and more common. However, commuting results in a number of different costs, for example, external costs such as congestion and pollution as well as internal costs such as individual time consumption. READ MORE

  5. 5. Group-Sparse Regression : With Applications in Spectral Analysis and Audio Signal Processing

    University dissertation from Mathematical Statistics, Centre for Mathematical Sciences, Lund University

    Author : Ted Kronvall; [2017-09-22]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; sparse regression; group-sparsity; statistical modeling; regularization; hyperparameter-selection; spectral analysis; audio signal processing; classification; localization; multi-pitch estimation; chroma; convex optimization; ADMM; cyclic coordinate descent; proximal gradient;

    Abstract : This doctorate thesis focuses on sparse regression, a statistical modeling tool for selecting valuable predictors in underdetermined linear models. By imposing different constraints on the structure of the variable vector in the regression problem, one obtains estimates which have sparse supports, i.e. READ MORE