Sökning: "Mathematical Statistics"

Visar resultat 1 - 5 av 204 avhandlingar innehållade orden Mathematical Statistics.

  1. 1. From Penicillin Binding Proteins to Community Interventions : Mathematical and Statistical Models Related to Antibiotic Resistance

    Författare :Patricia Geli Rolfhamre; Åke Svensson; Mikael Andersson; Dan I. Andersson; Karl Ekdahl; Bruce R. Levin; Stockholms universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; antibiotic resistance; mathematical modeling; pharmacokinetics; pharmacodynamics; penicillin binding protein; postantibiotic effect; reversibility; selection; community intervention; Mathematical statistics; Matematisk statistik; matematisk statistik; Mathematical Statistics;

    Sammanfattning : Antibiotic resistance has become a major public health concern and mathematical models are important analytical tools for the understanding, evaluation and prediction of the resistance problem and related control strategies.The risk of emerging antibiotic resistance and selection has rarely been a concern in the design of antibiotic drug dosing regimens. LÄS MER

  2. 2. Mathematical Reasoning : In physics and real-life context

    Författare :Helena Johansson; Mats Andersson; Jesper Boesen; Morten Blomhøj; Institutionen för matematiska vetenskaper Göteborgs universitet; []
    Nyckelord :SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; SAMHÄLLSVETENSKAP; NATURAL SCIENCES; SOCIAL SCIENCES; Creative mathematical reasoning; Descriptive statistics; Differential item functioning; Figurative context; Imitative reasoning; Mathematical Reasoning Requirements; Mathematics tasks; National tests; Physics tasks; Real-life context; T-test; Upper secondary school;

    Sammanfattning : This thesis is a compilation of four papers in which mathematical reasoning is examined in various contexts, in which mathematics is an integral part. It is known from previous studies that a focus on rote learning and procedural mathematical reasoning hamper students’ learning of mathematics. LÄS MER

  3. 3. On two classic problems in statistics

    Författare :Måns Thulin; Silvelyn Zwanzig; Dietrich von Rosen; Uppsala universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Mathematical statistics; Matematisk statistik; Mathematical Statistics; Matematisk statistik;

    Sammanfattning : .... LÄS MER

  4. 4. Perfect simulation of some spatial point processes

    Författare :Kajsa Larson; Olle Häggström; Chalmers University of Technology and Göteborg University Department of Mathematical Statistics; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Perfect simulering; coupling from the past; Markov shain Monte Carlo; point process; Widom-Rowlinson model; Mathematical statistics; Matematisk statistik; Mathematical Statistics; matematisk statistik;

    Sammanfattning : Coupling from the past (CFTP) algorithms are presented that generate perfectly distributed samples from the multi-type Widom--Rowlinson (W--R) model and some generalizations of it. The classical W--R model is a point process in the plane or the  space consisting of points of several different types. LÄS MER

  5. 5. Numerical analysis for random processes and fields and related design problems

    Författare :Konrad Abramowicz; Oleg Seleznjev; Krzysztof Podgórski; Umeå universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; stochastic processes; random fields; approximation; numerical integration; Hermite splines; piecewise linear interpolator; local stationarity; point singularity; stratified Monte Carlo quadrature; Asian option; Monte Carlo pricing method; Lévy market models; Mathematical statistics; Matematisk statistik; Mathematical Statistics; matematisk statistik;

    Sammanfattning : In this thesis, we study numerical analysis for random processes and fields. We investigate the behavior of the approximation accuracy for specific linear methods based on a finite number of observations. Furthermore, we propose techniques for optimizing performance of the methods for particular classes of random functions. LÄS MER