 | Computational Methods for Data Evaluation and Assimilation Subjects: Engineering & Technology; Mathematics & Statistics; Physical Sciences; Mathematics & Statistics for Engineers; Applied Mathematics; Physics; Atomic & Nuclear Physics; Data evaluation and data combination require the use of a wide range of probability theory concepts and tools, from deductive statistics mainly concerning frequencies and sample tallies to inductive inference for assimilating non-frequency data and a priori knowledge. Computational Methods for Data Evaluation and Assimilation presents interdiscipli |
