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Representative Points of Statistical Distributions: Applications in Statistical Inference by Kai-Tai Fang, Huajun Ye, Yongdao Zhou

• Representative Points of Statistical Distributions: Applications in Statistical Inference
• Kai-Tai Fang, Huajun Ye, Yongdao Zhou
• Page: 339
• Format: pdf, ePub, mobi, fb2
• ISBN: 9781040361016
• Publisher: CRC Press

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Statistical simulation has become a cornerstone in statistical research and applications. The aim of Representative Points of Statistical Distributions: Applications in Statistical Inference is to present a comprehensive exploration of various methods for statistical simulation and resampling, focusing on consistency and efficiency. It covers a range of representative points (RPs) – Monte Carlo (MC) RPs, quasi-Monte Carlo (QMC) RPs, and mean square error (MSE) RPs – and their applications, and includes a collection of recent developments in the field. It also explores other types of representative points and the corresponding approximate distributions, and delves into the realm of statistical simulation by exploring the limitations of traditional MC methods and the innovations brought about by the bootstrap method. In addition, the text introduces other kinds of representative points and the corresponding approximate distributions such as QMC and MSE methods. Features Comprehensive exploration of statistical simulation methods: provides a deep dive into MC methods and bootstrap methods, and introduces other kinds of RPs and the corresponding approximate distributions, such as QMC and MSE methods. Emphasis on consistency and efficiency: highlights the advantages of these methods in terms of consistency and efficiency, addressing the slow convergence rate of classical statistical simulation. Collection of recent developments: brings together the latest advancements in the field of statistical simulation, keeping readers up to date with the most current research. Practical applications: includes numerous practical applications of various types of RPs (MC-RPs, QMC-RPs, and MSE-RPs) in statistical inference and simulation. Educational resource: can serve as a textbook for postgraduate students, a reference book for undergraduate students, and a valuable resource for professionals in various fields. The book serves as a valuable resource for postgraduate students, researchers, and practitioners in statistics, mathematics, and other quantitative fields.

Routledge and CRC Press Statistics & Probability Books
Representative Points of Statistical Distributions: Applications in Statistical Inference. Kai-Tai Fang, Huajun Ye, Yongdao Zhou. Jun. 12th, 2025. Original .
Representative Points of Statistical Distributions - Booktopia
Practical applications: includes numerous practical applications of various types of RPs (MC-RPs, QMC-RPs, and MSE-RPs) in statistical inference and simulation.
Applications of the representative points in statistical simulations
The paper gives a new approach to statistical simulation and resampling by the use of number-theoretic methods and representative points.
Chapter 2 Summary statistics and distributions
The normal distribution is the foundation for statistical inference throughout this book. The normal distribution describes many kinds of data. Numerous .
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This book explores the use of simulation to construct approximate distributions via representative points. Representative Points of Statistical Distributions by .
Representative Points of Statistical Distributions
A downloadable version of this book is available through the eCampus Reader or compatible Adobe readers. Applications are available on iOS, Android, PC, Mac .
Shared item from EC1012 Statistical Inference - readinglists@leicester
Shared item from EC1012 Statistical Inference. View list. Statistics for business and economics. Book . Other editions are available in the library. Library .
A Review of Representative Points of Statistical Distributions and .
The review focuses on certain critical aspects such as theoretical properties and computational algorithms for constructing RPs. We also address .
Representative Points Of Statistical Distributions: Applications In .
Buy the book Representative Points of Statistical Distributions: Applications in Statistical Inference by kai-tai fang,huajun ye,yongdao zhou at Indigo.
Lecture Notes – Monograph Series - Institute of Mathematical Statistics
maps and statistical inference. Several of the articles concern applications . available online. A discussion of distributions in statistical models with
Representative Points of Statistical Distributions - Biggerbooks.com
Representative Points of Statistical Distributions · ISBN: 9781040360989 | 104036098X · Cover: Nonspecific Binding · Copyright: 6/12/2025 .
A Review of Representative Points of Statistical Distributions and .
In this paper we give a review of the three main methods for constructing RPs, namely based on the Monte Carlo method, the number-theoretic method (or quasi- .
Representative Points of Statistical Distributions - ScanLibs
The aim of Representative Points of Statistical Distributions: Applications in Statistical Inference is to present a comprehensive exploration .
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The aim of Representative Points of Statistical Distributions: Applications in Statistical Inference is to present a comprehensive exploration of various .
[PDF] Marc Peter Deisenroth A. Aldo Faisal Cheng Soon Ong
Book. 13. 1.3. Exercises and Feedback. 16. 2. Linear Algebra. 17. 2.1. Systems of . Distributions. 172. 6.1. Construction of a Probability Space. 172. 6.2.

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