Search for dissertations about: "Truncation"
Showing result 1 - 5 of 135 swedish dissertations containing the word Truncation.
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1. The effects of indexing strategy-query term combination on retrieval effectiveness in a Swedish full text database
Abstract : This thesis deals with Swedish full text retrieval and the problem of morphological variation of query terms in the document database. The study is an information retrieval experiment with a test collection. While no Swedish test collection was available, such a collection was constructed. READ MORE
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2. Statistical methods for register based studies with applications to stroke
Abstract : This thesis adds to the area of register based research, with a particular focus on health care quality and (in)equality. Contributions are made to the areas of hospital performance benchmarking, mediation analysis, and regression when the outcome variable is limited, with applications related to Riksstroke (the Swedish stroke register). READ MORE
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3. Count data modelling and tourism demand
Abstract : This thesis consists of four papers concerning modelling of count data and tourism demand. For three of the papers the focus is on the integer-valued autoregressive moving average model class (INARMA), and especially on the ENAR(l) model. READ MORE
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4. On weak and strong convergence of numerical approximations of stochastic partial differential equations
Abstract : This thesis is concerned with numerical approximation of linear stochastic partial differential equations driven by additive noise. In the first part, we develop a framework for the analysis of weak convergence and within this framework we analyze the stochastic heat equation, the stochastic wave equation, and the linearized stochastic Cahn-Hilliard, or the linearized Cahn-Hilliard-Cook equation. READ MORE
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5. Truncation and missing family links in population-based registers
Abstract : Studies of familial aggregation of disease routinely use linked population registers to construct retrospective cohorts. Although such resources have provided numerous estimates of familial risk, little is known regarding the sensitivity of the estimates to assumed disease models and incompleteness of the data, such as truncation and/or missing family links. READ MORE