Differential-geometrical methods in statistics. Amari S.

Differential-geometrical methods in statistics


Differential.geometrical.methods.in.statistics.pdf
ISBN: 0387860662, | 301 pages | 8 Mb


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Differential-geometrical methods in statistics Amari S.
Publisher: Springer




Korshunov 34.Geometry by GN Yakovliev 35.Differential Geometry by A.V. This methodology, termed differential RNA-seq (dRNA-seq), is extremely informative for promoter mapping and identification of small RNAs. Finally, another enzymatic method for mRNA enrichment that makes . This idea struck a chord, and I began to wonder exactly what particular aspect of pure mathematics was being used in each of these other disciplines and where else such methods or approaches were being used. Koroliuk 45.Manual for High School Mathematics by V. Pogorelov 36.Elementary Geometry by A.V. A Detection Threshold (DTh), based on the geometric distribution of the number of sequencing reads, was calculated as described in Materials and Methods (Statistical and Bioinformatic Data Analysis section). Of course For example, the theory and practice of mathematical statistics draw on probability theory (which itself draws on measure theory and the theory of integration), and, in statistical decision theory, on the differential geometry of information. Manual of the Theory of Probability and Mathematical Statistics by V.S. Shipachev 33.Mathematical Foundations of Cybernetics by Yu. Pogorelov 37.Modern Geometry – Methods of the Theory of homologies by V.B. 32.Foundations of Higher Mathematics by V.S.