Search for dissertations about: "regression"

Showing result 1 - 5 of 1704 swedish dissertations containing the word regression.

  1. 1. Regression methods in multidimensional prediction and estimation

    University dissertation from Stockholm : Matematiska institutionen

    Author : Anders Björkström; Rolf Sundberg; Philip J Brown; [2007]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; regression; prediction; principal compnents regression; ridge regression; partial least squares; MATHEMATICS Applied mathematics Mathematical statistics; MATEMATIK Tillämpad matematik Matematisk statistik; matematisk statistik; Mathematical Statistics;

    Abstract : In regression with near collinear explanatory variables, the least squares predictor has large variance. Ordinary least squares regression (OLSR) often leads to unrealistic regression coefficients. Several regularized regression methods have been proposed as alternatives. READ MORE

  2. 2. Two Aspects of Automating Logics of Action and Change : Regression and Tractability

    University dissertation from Linköping : Linköpings universitet

    Author : Marcus Bjäreland; [1998]
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY;

    Abstract : The autonomy of an artificial agent (e.g. a robot) will certainly depend on its ability to perform "intelligent" tasks, such as learning, planning, and reasoning about its own actions and their effects on the enviroment, for example predicting the consequences of its own behaviour. READ MORE

  3. 3. Improved building energy simulations and verifications by regression

    University dissertation from Umeå : Umeå universitet

    Author : Jimmy Vesterberg; Thomas Olofsson; Folke Björk; [2016]
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Calibrated simulations; Energy signature; Regression; BES; IDA ICE; Multifamily buildings; EUI;

    Abstract : It is common with significant differences between calculated and actual energy use in the building sector. These calculations are often performed with whole building energy simulation (BES) programs. In this process the analyst must make several assumptions about the studied building and its users. READ MORE

  4. 4. Multivariate Aspects of Phylogenetic Comparative Methods

    University dissertation from Göteborg : University of Gothenburg

    Author : Krzysztof Bartoszek; Göteborgs universitet.; Gothenburg University.; [2011]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; General Linear Model; Ornstein-Uhlenbeck process; Multivariate phylogenetic comparative method; Evolutionary model; Adaptation; Optimality; Measurement error; Regression; Adaptation; Major-axis regression; Reduced major-axis regression; Structural equation; Allometry; Phylogenetic inertia; Allometry; Measurement error; Structural equation; Multivariate phylogenetic comparative method; Ornstein-Uhlenbeck process; Regression; Optimality; Adaptation; Evolutionary model; Phylogenetic inertia; Adaptation; Reduced major-axis regression; Major-axis regression;

    Abstract : his thesis concerns multivariate phylogenetic comparative methods. We investigate two aspects of them. The first is the bias caused by measurement error in regression studies of comparative data. We calculate the formula for the bias and show how to correct for it. READ MORE

  5. 5. A regression approach for assessment of building energy performance

    University dissertation from Umeå : Umeå universitet

    Author : Jimmy Vesterberg; Thomas Olofsson; Mohsen Soleimani-Mohseni; Björn Reidar Sörensen; Sofia Lidelöw; [2014]
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; building energy simulation; measurements; regression; calibration parameters;

    Abstract : Reliable evaluation methods is needed to ensure that investments in energy conservation measures (ECMs) and the construction of new energy efficient buildings lives up to the promised and expected performance.This thesis presents and evaluates a regression method for estimation of influential building parameters: transmission losses above ground (including air leakage), ground heat loss, and overall heat loss coefficient. READ MORE