Local Polynomial Modelling And Its Applications

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Local Polynomial Modelling And Its Applications

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Author : Jianqing Fan
language : en
Publisher: Routledge
Release Date : 2018-05-02

Local Polynomial Modelling And Its Applications written by Jianqing Fan and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-02 with Mathematics categories.

Data-analytic approaches to regression problems, arising from many scientific disciplines are described in this book. The aim of these nonparametric methods is to relax assumptions on the form of a regression function and to let data search for a suitable function that describes the data well. The use of these nonparametric functions with parametric techniques can yield very powerful data analysis tools. Local polynomial modeling and its applications provides an up-to-date picture on state-of-the-art nonparametric regression techniques. The emphasis of the book is on methodologies rather than on theory, with a particular focus on applications of nonparametric techniques to various statistical problems. High-dimensional data-analytic tools are presented, and the book includes a variety of examples. This will be a valuable reference for research and applied statisticians, and will serve as a textbook for graduate students and others interested in nonparametric regression.

Local Polynomial Modelling And Its Applications

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Author : Jianqing Fan
language : en
Publisher: CRC Press
Release Date : 1996-03-01

Local Polynomial Modelling And Its Applications written by Jianqing Fan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-03-01 with Mathematics categories.

Data-analytic approaches to regression problems, arising from many scientific disciplines are described in this book. The aim of these nonparametric methods is to relax assumptions on the form of a regression function and to let data search for a suitable function that describes the data well. The use of these nonparametric functions with parametric techniques can yield very powerful data analysis tools. Local polynomial modeling and its applications provides an up-to-date picture on state-of-the-art nonparametric regression techniques. The emphasis of the book is on methodologies rather than on theory, with a particular focus on applications of nonparametric techniques to various statistical problems. High-dimensional data-analytic tools are presented, and the book includes a variety of examples. This will be a valuable reference for research and applied statisticians, and will serve as a textbook for graduate students and others interested in nonparametric regression.

Local Polynomial Modelling And Its Applications

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Author : Jianqing Fan
language : en
Publisher: Springer
Release Date : 2013-08-21

Local Polynomial Modelling And Its Applications written by Jianqing Fan and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-08-21 with Mathematics categories.

This book is on data-analytic approaches to regression problems arising from many scientific disciplines. These approaches are also called nonparametric regression in the literature. The aim of non parametric methods is to relax assumptions on the form of a regres sion function, and to let data search for a suitable function that describes well the available data. These approaches are powerful in exploring fine structural relationships and provide very useful diagnostic tools for parametric models. Over the last two decades, vast efforts have been devoted to nonparametric regression analyses. This book hopes to bring an up-to-date picture on the state of the art of nonparametric regres sion techniques. The emphasis of this book is on methodologies rather than on theory, with a particular focus on applications of nonparametric techniques to various statistical problems. These problems include least squares regression, quantile and robust re gression, survival analysis, generalized linear models and nonlinear time series. Local polynomial modelling is employed in a large frac tion of the book, but other key ideas of nonparametric regression are also discussed.

Local Polynomial Modelling And Its Applications

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Author : Jianqing Fan
language : en
Publisher:
Release Date : 1996

Local Polynomial Modelling And Its Applications written by Jianqing Fan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Electronic book categories.

Computational Science And Its Applications Iccsa 2008

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Author : Osvaldo Gervasi
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-06-24

Computational Science And Its Applications Iccsa 2008 written by Osvaldo Gervasi and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-06-24 with Computers categories.

The two-volume set LNCS 5072 and 5073 constitutes the refereed proceedings of the International Conference on Computational Science and Its Applications, ICCSA 2008, held in Perugia, Italy, in June/July, 2008. The two volumes contain papers presenting a wealth of original research results in the field of computational science, from foundational issues in computer science and mathematics to advanced applications in virtually all sciences making use of computational techniques. The topics of the fully refereed papers are structured according to the five major conference themes: computational methods, algorithms and scientific applications, high performance technical computing and networks, advanced and emerging applications, geometric modelling, graphics and visualization, as well as information systems and information technologies. Moreover, submissions from more than 20 workshops and technical sessions in the areas, such as embedded systems, geographical analysis, computational geometry, computational geomatics, computer graphics, virtual reality, computer modeling, computer algebra, mobile communications, wireless networks, computational forensics, data storage, information security, web learning, software engineering, computational intelligence, digital security, biometrics, molecular structures, material design, ubiquitous computing, symbolic computations, web systems and intelligence, and e-education contribute to this publication.

Data Mining And Business Analytics With R

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Author : Johannes Ledolter
language : en
Publisher: John Wiley & Sons
Release Date : 2013-05-28

Data Mining And Business Analytics With R written by Johannes Ledolter and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-05-28 with Mathematics categories.

Collecting, analyzing, and extracting valuable information from a large amount of data requires easily accessible, robust, computational and analytical tools. Data Mining and Business Analytics with R utilizes the open source software R for the analysis, exploration, and simplification of large high-dimensional data sets. As a result, readers are provided with the needed guidance to model and interpret complicated data and become adept at building powerful models for prediction and classification. Highlighting both underlying concepts and practical computational skills, Data Mining and Business Analytics with R begins with coverage of standard linear regression and the importance of parsimony in statistical modeling. The book includes important topics such as penalty-based variable selection (LASSO); logistic regression; regression and classification trees; clustering; principal components and partial least squares; and the analysis of text and network data. In addition, the book presents: A thorough discussion and extensive demonstration of the theory behind the most useful data mining tools Illustrations of how to use the outlined concepts in real-world situations Readily available additional data sets and related R code allowing readers to apply their own analyses to the discussed materials Numerous exercises to help readers with computing skills and deepen their understanding of the material Data Mining and Business Analytics with R is an excellent graduate-level textbook for courses on data mining and business analytics. The book is also a valuable reference for practitioners who collect and analyze data in the fields of finance, operations management, marketing, and the information sciences.

The New Palgrave Dictionary Of Economics

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Author :
language : en
Publisher: Springer
Release Date : 2016-05-18

The New Palgrave Dictionary Of Economics written by and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-05-18 with Law categories.

The award-winning The New Palgrave Dictionary of Economics, 2nd edition is now available as a dynamic online resource. Consisting of over 1,900 articles written by leading figures in the field including Nobel prize winners, this is the definitive scholarly reference work for a new generation of economists. Regularly updated! This product is a subscription based product.

10th International Conference On Soft Computing Models In Industrial And Environmental Applications

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Author : Álvaro Herrero
language : en
Publisher: Springer
Release Date : 2015-05-31

10th International Conference On Soft Computing Models In Industrial And Environmental Applications written by Álvaro Herrero and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-05-31 with Technology & Engineering categories.

This volume of Advances in Intelligent and Soft Computing contains accepted papers presented at the 10th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2015), held in the beautiful and historic city of Burgos (Spain), in June 2015. Soft computing represents a collection or set of computational techniques in machine learning, computer science and some engineering disciplines, which investigate, simulate and analyze very complex issues and phenomena. This Conference is mainly focused on its industrial and environmental applications. After a through peer-review process, the SOCO 2015 International Program Committee selected 41 papers, written by authors from 15 different countries. These papers are published in present conference proceedings, achieving an acceptance rate of 40%. The selection of papers was extremely rigorous in order to maintain the high quality of the conference and we would like to thank the members of the International Program Committees for their hard work during the review process. This is a crucial issue for creation of a high standard conference and the SOCO conference would not exist without their help.

Nonparametric Functional Data Analysis

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Author : Frédéric Ferraty
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-11-22

Nonparametric Functional Data Analysis written by Frédéric Ferraty and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-11-22 with Mathematics categories.

Modern apparatuses allow us to collect samples of functional data, mainly curves but also images. On the other hand, nonparametric statistics produces useful tools for standard data exploration. This book links these two fields of modern statistics by explaining how functional data can be studied through parameter-free statistical ideas. At the same time it shows how functional data can be studied through parameter-free statistical ideas, and offers an original presentation of new nonparametric statistical methods for functional data analysis.

Frontiers In Statistics

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Author : Jianqing Fan
language : en
Publisher: Imperial College Press
Release Date : 2006

Frontiers In Statistics written by Jianqing Fan and has been published by Imperial College Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Mathematics categories.

During the last two decades, many areas of statistical inference have experienced phenomenal growth. This book presents a timely analysis and overview of some of these new developments and a contemporary outlook on the various frontiers of statistics.Eminent leaders in the field have contributed 16 review articles and 6 research articles covering areas including semi-parametric models, data analytical nonparametric methods, statistical learning, network tomography, longitudinal data analysis, financial econometrics, time series, bootstrap and other re-sampling methodologies, statistical computing, generalized nonlinear regression and mixed effects models, martingale transform tests for model diagnostics, robust multivariate analysis, single index models and wavelets.This volume is dedicated to Prof. Peter J Bickel in honor of his 65th birthday. The first article of this volume summarizes some of Prof. Bickel''s distinguished contributions.