{"title":"Kai-Tai Fang","description":null,"products":[{"product_id":"representative-points-of-statistical-distributions-book-kai-tai-fang-9781032964119","title":"Representative Points of Statistical Distributions","description":"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.","brand":"WoB","offers":[{"title":"- \/ - \/ -","offer_id":51598190117137,"sku":"","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"GB \/ NEW \/ GARDNERS","offer_id":51598190444817,"sku":"NGR9781032964119","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"GB \/ NEW \/ INGRAM","offer_id":52683091509521,"sku":"NLS9781032964119","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"US \/ NEW \/ INGRAM","offer_id":53251674964241,"sku":"NIN9781032964119","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/1032964111.jpg?v=1750887402"},{"product_id":"monte-carlo-and-quasi-monte-carlo-methods-2000-book-kai-tai-fang-9783540427186","title":"Monte Carlo and Quasi-Monte Carlo Methods 2000","description":"This volume represents the refereed proceedings of the Fourth International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing (MCQMC 2000) which was held at Hong Kong Baptist Uni- versity from November 27 to December 1, 2000. The program of this con- ference was arranged by a committee consisting of Kurt Binder (Univer- sitat Mainz), Kai-Tai Fang (Hong Kong Baptist University, co-chair), Rus- sel Caflisch (University of California at Los Angeles), George S. Fishman (University of North Carolina), Masanori Fushimi (Nanzan University), Paul Glasserman (Columbia University), Fred J. Hickernell (Hong Kong Baptist University), Pierre L'Ecuyer (Universite de Montreal), Harald Niederreiter (National University of Singapore, co-chair), Art B. Owen (Stanford Univer- sity), Ian H. Sloan (University of New South Wales), Jerome Spanier (Clare- mont Graduate University), Yuan Wang (Chinese Academy of Sciences), and Henryk Wozniakowski (Columbia University and University of Warsaw). The local arrangements were in the hands of an organizing committee compris- ing Wai-Yan Cheng (City University of Hong Kong), Kai-Tai Fang (Hong Kong Baptist University, co-chair), Minggao Gu (Chinese University of Hong Kong), Fred J. Hickernell (Hong Kong Baptist University, co-chair) , Irwin King (Chinese University of Hong Kong), Yue-Kuen Kwok (Hong Kong Uni- versity of Science and Technology), Li-Zhi Liao (Hong Kong Baptist Univer- sity), and Lei-Han Tang (Hong Kong Baptist University).","brand":"WoB","offers":[{"title":"- \/ - \/ INTERNAL","offer_id":52327454703889,"sku":null,"price":0.0,"currency_code":"GBP","in_stock":true},{"title":"GB \/ NEW \/ INGRAM","offer_id":52327455359249,"sku":"NLS9783540427186","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9783540427186.jpg?v=1758062534"},{"product_id":"design-and-modeling-for-computer-experiments-book-kai-tai-fang-9781584885467","title":"Design and Modeling for Computer Experiments","description":"Combines a statistical approach with engineering applications and delineates the steps for successfully modeling a problem and analyzing it to find the solution. This work introduces basic concepts and examines computer experiment design. It presents various modeling techniques and discusses model interpretation, including sensitivity analysis.","brand":"WoB","offers":[{"title":"- \/ - \/ INTERNAL","offer_id":52484033020177,"sku":null,"price":0.0,"currency_code":"GBP","in_stock":true},{"title":"GB \/ NEW \/ INGRAM","offer_id":52484034134289,"sku":"NLS9781584885467","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9781584885467.jpg?v=1759855660"},{"product_id":"theory-and-application-of-uniform-experimental-designs-book-kai-tai-fang-9789811320408","title":"Theory and Application of Uniform Experimental Designs","description":"The book provides necessary knowledge for readers interested in developing the theory of uniform experimental design. It discusses measures of uniformity, various construction methods of uniform designs, modeling techniques, design and modeling for experiments with mixtures, and the usefulness of the uniformity in block, factorial and supersaturated designs.    Experimental design is an important branch of statistics with a long history, and is extremely useful in multi-factor experiments. Involving rich methodologies and various designs, it has played a key role in industry, technology, sciences and various other fields. A design that chooses experimental points uniformly scattered on the domain is known as uniform experimental design, and uniform experimental design can be regarded as a fractional factorial design with model uncertainty, a space-filling design for computer experiments, a robust design against the model specification, and a supersaturated design and can be applied to experiments with mixtures.","brand":"WoB","offers":[{"title":"GB \/ NEW \/ INGRAM","offer_id":52590495662353,"sku":"NLS9789811320408","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9789811320408.jpg?v=1761062174"}],"url":"https:\/\/www.worldofbooks.com\/collections\/author-books-by-kai-tai-fang.oembed","provider":"World of Books ","version":"1.0","type":"link"}