Search for dissertations about: "D-optimality"

Showing result 1 - 5 of 8 swedish dissertations containing the word D-optimality.

  1. 1. Effective Sampling Design for Groundwater Transport Models

    University dissertation from Uppsala : Acta Universitatis Upsaliensis

    Author : Rune Nordqvist; Uppsala universitet.; [2001]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Earth sciences; Sampling design; design robustness; D-optimality; groundwater models; parameter estimation; model discrimination; Geovetenskap; NATURAL SCIENCES Earth sciences; NATURVETENSKAP Geovetenskap; Hydrology; hydrologi;

    Abstract : Model reliability is important when groundwater models are used for evaluation of environmental impact and water resource management. Model attributes such as geohydrologic units and parameter values need to be quantified in order to obtain reliable results. READ MORE

  2. 2. Optimal Design and Inference for Correlated Bernoulli Variables using a Simplified Cox Model

    University dissertation from Stockholm : Statistiska institutionen

    Author : Daniel Bruce; Stockholms universitet.; [2008]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Cox binary model; correlated binary data; log-odds ratio; D-optimality; E-optimality; power maximization; efficiency; SOCIAL SCIENCES Statistics; computer and systems science Statistics; SAMHÄLLSVETENSKAP Statistik; data- och systemvetenskap Statistik; statistik; Statistics;

    Abstract : This thesis proposes a simplification of the model for dependent Bernoulli variables presented in Cox and Snell (1989). The simplified model, referred to as the simplified Cox model, is developed for identically distributed and dependent Bernoulli variables. READ MORE

  3. 3. Optimal Design of Experiments for the Quadratic Logistic Model

    University dissertation from Stockholm : Department of Statistics, Stockholm University

    Author : Ellinor Fackle Fornius; Stockholms universitet.; [2008]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Logistic regression; D-optimality; c-optimality; Canonical design space; Maximum likelihood estimation; Sequential design; Stochastic approximation; SOCIAL SCIENCES Statistics; computer and systems science Statistics; SAMHÄLLSVETENSKAP Statistik; data- och systemvetenskap Statistik; statistik; Statistics;

    Abstract : Optimal design of experiments for binary data is the topic of this thesis. A particular logistic model including a quadratic term in the linear predictor is considered. Determining an optimal design for this model is complicated by the fact that the optimal design is dependent on the unknown true parameters. READ MORE

  4. 4. Simulation based design : structural optimization at early design stages

    University dissertation from Linköping : Linköpings universitet

    Author : Marcus Redhe; Linköpings universitet.; Linköpings universitet.; [2001]
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY;

    Abstract : The aim of this thesis is to evaluate and develop different modelling tools which can be used in the vehicle crashworthiness design process. These tools will improve the understanding of the vehicle behaviour and thus improve the crashworthiness of the vehicle. READ MORE

  5. 5. Benefits of Non-Linear Mixed Effect Modeling and Optimal Design Pre-Clinical and Clinical Study Applications

    University dissertation from Uppsala : Acta Universitatis Upsaliensis

    Author : Charles Ernest II; Uppsala universitet.; [2013]
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Pharmacometrics; optimal design; nonlinear mixed effects models; population models; Pharmaceutical Science; Farmaceutisk vetenskap;

    Abstract : Despite the growing promise of pharmaceutical research, inferior experimentation or interpretation of data can inhibit breakthrough molecules from finding their way out of research institutions and reaching patients. This thesis provides evidence that better characterization of pre-clinical and clinical data can be accomplished using non-linear mixed effect modeling (NLMEM) and more effective experiments can be conducted using optimal design (OD). READ MORE