Search for dissertations about: "least-squares estimator"

Showing result 1 - 5 of 33 swedish dissertations containing the words least-squares estimator.

  1. 1. Bilinear Regression and Second Order Calibration

    Author : Marie Linder; Pieter Kroonenberg; Stockholms universitet; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; 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

  2. 2. The Non-Linear Instantaneous Least Squares Approach to Signal Parameter Estimation

    Author : Jakob Ängeby; Chalmers University of Technology; []
    Keywords : aliasing; polynomial-phase signals; synthetic aperture radar auto-focusing; non-linear least squares; time-frequency estimation; estimation theory; non-stationary processes; non-uniform sampling;

    Abstract : Estimation of parameters of non-stationary signals observed in noise is a challenging and difficult task, motivated by applications such as radar and mobile tele-communication. Here, a novel method for signal parameter estimation named the Non-linear Instantaneous Least Squares (NILS) approach is presented, which can be applied to linear and non-linear signals, and to both uniformly and non-uniformly sampled data. READ MORE

  3. 3. Adaptive finite element methods for parameter estimation problems in partial differential equations

    Author : Tao Feng; Mittuniversitetet; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; parameter estimation; ¯nite element approximation; adaptive ¯nite element methods; a posteriori error estimates; least squares.; MATHEMATICS; MATEMATIK;

    Abstract : Physical and chemical phenomena are often described by a system of partial di®erential equations. These equations usually involve unknown parameters, which cannot be measured directly but which can be adjusted to make the model predictions match the observed data. READ MORE

  4. 4. Some Extensions of Fractional Ornstein-Uhlenbeck Model : Arbitrage and Other Applications

    Author : José Igor Morlanes; Andriy Andreev; Hans Nyquist; Henrik Hult; Stockholms universitet; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; fractional Ornstein-Uhlenbeck process; insider information; simulation embedding method; jump times; least-squares estimator; likelihood process; Ito calculus; Malliavin calculus; stochastic calculus; statistik; Statistics;

    Abstract : This doctoral thesis endeavors to extend probability and statistical models using stochastic differential equations. The described models capture essential features from data that are not explained by classical diffusion models driven by Brownian motion.New results obtained by the author are presented in five articles. READ MORE

  5. 5. Some Aspects on Confirmatory Factor Analysis of Ordinal Variables and Generating Non-normal Data

    Author : Hao Luo; Fan Yang-Wallentin; Johan Lyhagen; Karl Jöreskog; Marie Wiberg; Uppsala universitet; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; confirmatory factor analysis; ordinal variables; maximum likelihood; weighted least squares; polychoric correlation; non-normal data; Fleishman s method; Monte Carlo simulation; Statistics; Statistik; Statistics; Statistik;

    Abstract : This thesis, which consists of five papers, is concerned with various aspects of confirmatory factor analysis (CFA) of ordinal variables and the generation of non-normal data. The first paper studies the performances of different estimation methods used in CFA when ordinal data are encountered. READ MORE