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Visar resultat 1 - 5 av 236 avhandlingar som matchar ovanstående sökkriterier.
1. Multiple Kernel Imputation : A Locally Balanced Real Donor Method
Sammanfattning : We present an algorithm for imputation of incomplete datasets based on Bayesian exchangeability through Pólya sampling. Each (donee) unit with a missing value is imputed multiple times by observed (real) values on units from a donor pool. The donor pools are constructed using auxiliary variables. LÄS MER
2. Unique kernel diagnosis
Sammanfattning : The idea of using logic in computer programs to perform systematic diagnosis was introduced early in computation history. There are several systems using punch-cards and rulers described as early as the mid 1950’s. LÄS MER
3. Continuous-Time Models in Kernel Smoothing
Sammanfattning : This thesis consists of five papers (Papers A-E) treating problems in non-parametric statistics, especially methods of kernel smoothing applied to density estimation for stochastic processes (Papers A-D) and regression analysis (Paper E). A recurrent theme is to, instead of treating highly positively correlated data as ``asymptotically independent'', take advantage of local dependence structures by using continuous-time models. LÄS MER
4. Contributions to Kernel Equating
Sammanfattning : The statistical practice of equating is needed when scores on different versions of the same standardized test are to be compared. This thesis constitutes four contributions to the observed-score equating framework kernel equating. LÄS MER
5. Efficient Image Retrieval with Statistical Color Descriptors
Sammanfattning : Color has been widely used in content-based image retrieval (CBIR) applications. In such applications the color properties of an image are usually characterized by the probability distribution of the colors in the image. LÄS MER