Search for dissertations about: "random permutation test"
Showing result 1 - 5 of 7 swedish dissertations containing the words random permutation test.
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1. Methods for interval-censored data and testing for stochastic dominance
Abstract : This thesis includes four papers: the first three of them are concerned with methods for interval-censored data, while the forth paper is devoted to testing for stochastic dominance.In many studies, the variable of interest is observed to lie within an interval instead of being observed exactly, i.e. READ MORE
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2. Computational Medical Image Analysis : With a Focus on Real-Time fMRI and Non-Parametric Statistics
Abstract : Functional magnetic resonance imaging (fMRI) is a prime example of multi-disciplinary research. Without the beautiful physics of MRI, there wouldnot be any images to look at in the first place. To obtain images of goodquality, it is necessary to fully understand the concepts of the frequencydomain. READ MORE
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3. Spatial Statistics and Ancestral Recombination Graphs with Applications in Gene Mapping and Geostatistics
Abstract : This thesis explores models and algorithms in geostatistics and gene mapping. The first part deals with the use of computationally effective lattice models for inference of data with a continuous spatial index. READ MORE
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4. Aspects of multilinear algebra in statistical analysis of seasonal multivariate time series
Abstract : Representations of concepts from multivariate statistics are studied using multilinear algebra. Applications are given to the analysis of seasonal multivariate time series. The first paper concerns a class of permutation matrices which are representations of permutation operators on tensor spaces. READ MORE
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5. Mining Mozambique Health Data : The Case of Malaria: From Bayesian Incidence Risk to Incidence Case Predictions
Abstract : The health sector in Mozambique is piled with data, holding records of major public health diseases, such as malaria, cholera, etc. The process of scrutinizing such a mass of health data for useful information is challenging but essential for the health authorities and professionals. READ MORE