Statistical Theory and Method Abstracts - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Statistical Theory and Method Abstracts write by . This book was released on 2001. Statistical Theory and Method Abstracts available in PDF, EPUB and Kindle.
Theory and Methods of Statistics
Theory and Methods of Statistics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Theory and Methods of Statistics write by P.K. Bhattacharya. This book was released on 2016-06-23. Theory and Methods of Statistics available in PDF, EPUB and Kindle. Theory and Methods of Statistics covers essential topics for advanced graduate students and professional research statisticians. This comprehensive resource covers many important areas in one manageable volume, including core subjects such as probability theory, mathematical statistics, and linear models, and various special topics, including nonparametrics, curve estimation, multivariate analysis, time series, and resampling. The book presents subjects such as "maximum likelihood and sufficiency," and is written with an intuitive, heuristic approach to build reader comprehension. It also includes many probability inequalities that are not only useful in the context of this text, but also as a resource for investigating convergence of statistical procedures. - Codifies foundational information in many core areas of statistics into a comprehensive and definitive resource - Serves as an excellent text for select master's and PhD programs, as well as a professional reference - Integrates numerous examples to illustrate advanced concepts - Includes many probability inequalities useful for investigating convergence of statistical procedures
Abstract Methods in Information Theory
Abstract Methods in Information Theory - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Abstract Methods in Information Theory write by Yichir Kakihara. This book was released on 1999. Abstract Methods in Information Theory available in PDF, EPUB and Kindle. Information Theory is studied from the following view points: (1) the theory of entropy as amount of information; (2) the mathematical structure of information sources (probability measures); and (3) the theory of information channels. Shannon entropy and Kolmogorov-Sinai entropy are defined and their basic properties are examined, where the latter entropy is extended to be a linear functional on a certain set of measures. Ergodic and mixing properties of stationary sources are studied as well as AMS (asymptotically mean stationary) sources. The main purpose of this book is to present information channels in the environment of real and functional analysis as well as probability theory. Ergodic channels are characterized in various manners. Mixing and AMS channels are also considered in detail with some illustrations. A few other aspects of information channels including measurability, approximation and noncommutative extensions, are also discussed.
The Nature of Statistical Learning Theory
The Nature of Statistical Learning Theory - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook The Nature of Statistical Learning Theory write by Vladimir Vapnik. This book was released on 2013-06-29. The Nature of Statistical Learning Theory available in PDF, EPUB and Kindle. The aim of this book is to discuss the fundamental ideas which lie behind the statistical theory of learning and generalization. It considers learning as a general problem of function estimation based on empirical data. Omitting proofs and technical details, the author concentrates on discussing the main results of learning theory and their connections to fundamental problems in statistics. This second edition contains three new chapters devoted to further development of the learning theory and SVM techniques. Written in a readable and concise style, the book is intended for statisticians, mathematicians, physicists, and computer scientists.
International Journal of Abstracts, Statistical Theory and Method
International Journal of Abstracts, Statistical Theory and Method - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook International Journal of Abstracts, Statistical Theory and Method write by . This book was released on 1963. International Journal of Abstracts, Statistical Theory and Method available in PDF, EPUB and Kindle.
