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Titlebook: Asymptotic Stochastics; An Introduction with Norbert Henze Textbook 20241st edition The Editor(s) (if applicable) and The Author(s), under

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發(fā)表于 2025-3-21 18:17:56 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Asymptotic Stochastics
期刊簡(jiǎn)稱An Introduction with
影響因子2023Norbert Henze
視頻videohttp://file.papertrans.cn/168/167638/167638.mp4
發(fā)行地址Provides an accessible introduction to asymptotic stochastics.Includes 194 exercises with solutions.Contains 138 self-questions to text comprehension while reading
學(xué)科分類Mathematics Study Resources
圖書封面Titlebook: Asymptotic Stochastics; An Introduction with Norbert Henze Textbook 20241st edition The Editor(s) (if applicable) and The Author(s), under
影響因子.This textbook, which is based on the second edition of a book that has been previously published in German?language, provides a comprehension-oriented introduction to asymptotic stochastics. It is aimed at the beginning of a master‘s degree course in mathematics and covers the material that can be taught in a four-hour lecture with two-hour exercises. Individual chapters are also suitable for seminars at the end of a bachelor‘s degree course..In addition to more basic topics such as the method of moments in connection with the convergence in distribution or the multivariate central limit theorem and the delta method, the book covers limit theorems for U-statistics, the Wiener process and Donsker‘s theorem, as well as the Brownian bridge, with applications to statistics. It concludes with a central limit theorem for triangular arrays of Hilbert space-valued random elements with applications to weighted L2 statistics.. .The book is deliberately designed forself-study. It contains 138 self-questions, which are answered at the end of each chapter, as well as 194 exercises with solutions..This book is a translation of an original German edition. The translation was done with the help o
Pindex Textbook 20241st edition
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Introduction to Response Theory,hat is Donsker’s theorem, which represents a far-reaching generalization of the of Lindeberg–Lévy central limit theorem. With the help of the Wiener process, the Brownian bridge emerges, which plays an important role in nonparametric statistics.
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Molecular Structure and Vibrational Spectraheorem, the chapter proceeds with the method of moments, which is another important principle of constructing estimators. Other topics include the construction of BAN estimators and asymptotic relative Pitman efficiency. The chapter concludes with an obvious problem, namely how to estimate the center of a symmetric distribution
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