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Hittade 2 avhandlingar som matchar ovanstående sökkriterier.

1. 1. Optimal Subsampling Designs Under Measurement Constraints

   Författare :Henrik Imberg; Chalmers tekniska högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; inverse probability weighting; unequal probability sampling; optimal design; active sampling; M-estimation;

   Sammanfattning : We consider the problem of optimal subsample selection in an experiment setting where observing, or utilising, the full dataset for statistical analysis is practically unfeasible. This may be due to, e.g., computational, economic, or even ethical cost-constraints. LÄS MER

3. 2. Unequal Probability Sampling in Active Learning and Traffic Safety

   Författare :Henrik Imberg; Chalmers tekniska högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; naturalistic driving; active learning; sampling weighing; optimal design; sequential sampling; probability sampling;

   Sammanfattning : This thesis addresses a problem arising in large and expensive experiments where incomplete data come in abundance but statistical analyses require collection of additional information, which is costly. Out of practical and economical considerations, it is necessary to restrict the analysis to a subset of the original database, which inevitably will cause a loss of valuable information; thus, choosing this subset in a manner that captures as much of the available information as possible is essential. LÄS MER