Search for dissertations about: "60F17"

Found 2 swedish dissertations containing the word 60F17.

  1. 1. A Non-Gaussian Limit Process with Long-Range Dependence

    University dissertation from Uppsala : Matematiska institutionen

    Author : Raimundas Gaigalas; Ingemar Kaj; Esko Valkeila; [2004]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Mathematical statistics; long-range dependence; traffic modelling; arrival process; self-similarity; heavy tails; fractional Brownian motion; stable processes; renewal processes; independently scattered random measure; weak convergence; 60F17; 60G18; 90B18; 60K05 ; Matematisk statistik; MATHEMATICS Applied mathematics Mathematical statistics; MATEMATIK Tillämpad matematik Matematisk statistik;

    Abstract : This thesis, consisting of three papers and a summary, studies topics in the theory of stochastic processes related to long-range dependence. Much recent interest in such probabilistic models has its origin in measurements of Internet traffic data, where typical characteristics of long memory have been observed. READ MORE

  2. 2. Characterisation and Some Statistical Aspects of Univariate and Multivariate Generalised Pareto Distributions

    University dissertation from Göteborg : Chalmers University of Technology

    Author : Nader Tajvidi; Göteborgs universitet.; Gothenburg University.; [1996]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; generalised Pareto distribution; multivariate extreme value theory; multivariate Pareto distribution; small sample properties; Bartlett s correction; maximum likelihood; statistical computations; simulation AMS 1991 subject classification: 62F11; 62E20; 60F17; 65U05; 62E20; maximum likelihood; simulation AMS 1991 subject classification: 62F11; small sample properties; 60F17; multivariate extreme value theory; statistical computations; Bartlett s correction; multivariate Pareto distribution; 65U05;

    Abstract : Extreme value theory is about the distributions of very large or very small values in a time series or stochastic process. This has numerous applications connected with environmental science, civil engineering, materials science and insurance. A rather recent approach for modelling extreme events is the so called peak over threshold (POT) method. READ MORE