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Recent documents in Science and Technology Book Publicationsen-usTue, 17 May 2016 10:35:13 PDT3600Statistical Inference for Everyone (sie)
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http://digitalcommons.bryant.edu/sci_books/5Wed, 02 Apr 2014 12:57:58 PDT
In the field of statistical inference, there are two primary schools of thought. Each has its proponents, but it is generally accepted that on all problems covered in an introductory course, that both approaches are valid and lead to the same numerical values when applied to actual problems. Only one of these approaches is covered in a traditional course, which denies the students access to an entire field of statistical inference. The traditional approach, also called the frequentist or orthodox perspective, leads almost directly to problem above. The other approach, also called Probability Theory as Logic, derives all statistical inference from probability theory directly. It is this approach that I hope to expose students to in an introductory course.
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Brian S. BlaisLogicMathematicsCampylobacter Metabolomics
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http://digitalcommons.bryant.edu/sci_books/4Tue, 12 Jul 2011 14:53:58 PDTD. J. McNally et al.Characterization of Lipid-linked Oligosaccharides by Mass Spectrometry
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http://digitalcommons.bryant.edu/sci_books/3Tue, 12 Jul 2011 14:39:25 PDTChristopher W. Reid et al.Theory of Cortical Plasticity
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http://digitalcommons.bryant.edu/sci_books/2Thu, 14 Dec 2006 07:21:59 PST
This invaluable book presents a theory of cortical plasticity and shows how this theory leads to experiments that test both its assumptions and consequences. It ellucidates, in a manner that is accessible to students as well as researchers, the role which the BCM theory has played in guiding research and suggesting experiments that have led to our present understanding of the mechanisms underlying cortical plasticity. Most of the connections betwen theory and experiment that are discussed require complex simulations. A unique feature of the book is the accompanying software package, Plasticity. This is provided complete with source code, and enables the reader to repeat any of the simulations quoted in the book as well as to vary either parameters or assumptions. Plasticity is thus a research and an educational tool. Readers can use it to obtain hands-on knowledge of the structure of BCM and various other learning algorithms. They can check and replicate our results as well as test algorithms and refinements of their own.
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Leon N. Cooper et al.The Geobiology and Ecology of Metasequoia
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http://digitalcommons.bryant.edu/sci_books/1Mon, 21 Aug 2006 07:18:04 PDTBen A. LePage et al.