{"product_id":"representative-points-of-statistical-distributions","title":"Representative Points of Statistical Distributions","description":"\u003cp\u003eStatistical simulation has become a cornerstone in statistical research and applications. The aim of \u003cstrong\u003eRepresentative Points of Statistical Distributions: Applications in Statistical Inference\u003c\/strong\u003e 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.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFeatures\u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eComprehensive 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.\u003c\/li\u003e\n\u003cli\u003eEmphasis 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.\u003c\/li\u003e\n\u003cli\u003eCollection of recent developments: brings together the latest advancements in the field of statistical simulation, keeping readers up to date with the most current research.\u003c\/li\u003e\n\u003cli\u003ePractical applications: includes numerous practical applications of various types of RPs (MC-RPs, QMC-RPs, and MSE-RPs) in statistical inference and simulation.\u003c\/li\u003e\n\u003cli\u003eEducational resource: can serve as a textbook for postgraduate students, a reference book for undergraduate students, and a valuable resource for professionals in various fields.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eThe book serves as a valuable resource for postgraduate students, researchers, and practitioners in statistics, mathematics, and other quantitative fields.\u003c\/p\u003e","brand":"Taylor \u0026 Francis Ltd","offers":[{"title":"Default Title","offer_id":54249952280920,"sku":"9781032964119","price":167.4,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0278\/1295\/4195\/files\/9781032964119.jpg?v=1768050045","url":"https:\/\/agendabookshop.com\/products\/representative-points-of-statistical-distributions","provider":"Agenda Bookshop","version":"1.0","type":"link"}