Author: Tsuruichi Hayashi
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 232
Book Description
東北数學雑誌
Author: Tsuruichi Hayashi
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 232
Book Description
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 232
Book Description
Algebraic Foundations of Non-Commutative Differential Geometry and Quantum Groups
Author: Ludwig Pittner
Publisher: Springer Science & Business Media
ISBN: 3540478019
Category : Science
Languages : en
Pages : 476
Book Description
Quantum groups and quantum algebras as well as non-commutative differential geometry are important in mathematics and considered to be useful tools for model building in statistical and quantum physics. This book, addressing scientists and postgraduates, contains a detailed and rather complete presentation of the algebraic framework. Introductory chapters deal with background material such as Lie and Hopf superalgebras, Lie super-bialgebras, or formal power series. Great care was taken to present a reliable collection of formulae and to unify the notation, making this volume a useful work of reference for mathematicians and mathematical physicists.
Publisher: Springer Science & Business Media
ISBN: 3540478019
Category : Science
Languages : en
Pages : 476
Book Description
Quantum groups and quantum algebras as well as non-commutative differential geometry are important in mathematics and considered to be useful tools for model building in statistical and quantum physics. This book, addressing scientists and postgraduates, contains a detailed and rather complete presentation of the algebraic framework. Introductory chapters deal with background material such as Lie and Hopf superalgebras, Lie super-bialgebras, or formal power series. Great care was taken to present a reliable collection of formulae and to unify the notation, making this volume a useful work of reference for mathematicians and mathematical physicists.
Academic Algebra
Author: Wooster Woodruff Beman
Publisher:
ISBN:
Category : Algebra
Languages : en
Pages : 410
Book Description
Publisher:
ISBN:
Category : Algebra
Languages : en
Pages : 410
Book Description
Bayesian Networks in Educational Assessment
Author: Russell G. Almond
Publisher: Springer
ISBN: 1493921258
Category : Social Science
Languages : en
Pages : 678
Book Description
Bayesian inference networks, a synthesis of statistics and expert systems, have advanced reasoning under uncertainty in medicine, business, and social sciences. This innovative volume is the first comprehensive treatment exploring how they can be applied to design and analyze innovative educational assessments. Part I develops Bayes nets’ foundations in assessment, statistics, and graph theory, and works through the real-time updating algorithm. Part II addresses parametric forms for use with assessment, model-checking techniques, and estimation with the EM algorithm and Markov chain Monte Carlo (MCMC). A unique feature is the volume’s grounding in Evidence-Centered Design (ECD) framework for assessment design. This “design forward” approach enables designers to take full advantage of Bayes nets’ modularity and ability to model complex evidentiary relationships that arise from performance in interactive, technology-rich assessments such as simulations. Part III describes ECD, situates Bayes nets as an integral component of a principled design process, and illustrates the ideas with an in-depth look at the BioMass project: An interactive, standards-based, web-delivered demonstration assessment of science inquiry in genetics. This book is both a resource for professionals interested in assessment and advanced students. Its clear exposition, worked-through numerical examples, and demonstrations from real and didactic applications provide invaluable illustrations of how to use Bayes nets in educational assessment. Exercises follow each chapter, and the online companion site provides a glossary, data sets and problem setups, and links to computational resources.
Publisher: Springer
ISBN: 1493921258
Category : Social Science
Languages : en
Pages : 678
Book Description
Bayesian inference networks, a synthesis of statistics and expert systems, have advanced reasoning under uncertainty in medicine, business, and social sciences. This innovative volume is the first comprehensive treatment exploring how they can be applied to design and analyze innovative educational assessments. Part I develops Bayes nets’ foundations in assessment, statistics, and graph theory, and works through the real-time updating algorithm. Part II addresses parametric forms for use with assessment, model-checking techniques, and estimation with the EM algorithm and Markov chain Monte Carlo (MCMC). A unique feature is the volume’s grounding in Evidence-Centered Design (ECD) framework for assessment design. This “design forward” approach enables designers to take full advantage of Bayes nets’ modularity and ability to model complex evidentiary relationships that arise from performance in interactive, technology-rich assessments such as simulations. Part III describes ECD, situates Bayes nets as an integral component of a principled design process, and illustrates the ideas with an in-depth look at the BioMass project: An interactive, standards-based, web-delivered demonstration assessment of science inquiry in genetics. This book is both a resource for professionals interested in assessment and advanced students. Its clear exposition, worked-through numerical examples, and demonstrations from real and didactic applications provide invaluable illustrations of how to use Bayes nets in educational assessment. Exercises follow each chapter, and the online companion site provides a glossary, data sets and problem setups, and links to computational resources.
Industrial Management
Industrial Management
Author: John R. Dunlap
Publisher:
ISBN:
Category : Engineering
Languages : en
Pages : 756
Book Description
Publisher:
ISBN:
Category : Engineering
Languages : en
Pages : 756
Book Description
Mathematical Questions and Solutions in Continuation of the Mathematical Columns of "the Educational Times"
Journal
Author: National Cancer Institute (U.S.)
Publisher:
ISBN:
Category : Cancer
Languages : en
Pages : 752
Book Description
Publisher:
ISBN:
Category : Cancer
Languages : en
Pages : 752
Book Description