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Flexible Nonparametric Curve Estimation
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Book Synopsis Flexible Nonparametric Curve Estimation by : Hassan Doosti
Download or read book Flexible Nonparametric Curve Estimation written by Hassan Doosti and published by Springer. This book was released on 2024-10-09 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book delves into the realm of nonparametric estimations, offering insights into essential notions such as probability density, regression, Tsallis Entropy, Residual Tsallis Entropy, and intensity functions. Through a series of carefully crafted chapters, the theoretical foundations of flexible nonparametric estimators are examined, complemented by comprehensive numerical studies. From theorem elucidation to practical applications, the text provides a deep dive into the intricacies of nonparametric curve estimation. Tailored for postgraduate students and researchers seeking to expand their understanding of nonparametric statistics, this book will serve as a valuable resource for anyone who wishes to explore the applications of flexible nonparametric techniques.
Book Synopsis Flexible Nonparametric Curve Estimation by : Hassan Doosti
Download or read book Flexible Nonparametric Curve Estimation written by Hassan Doosti and published by Springer Nature. This book was released on with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Nonparametric Curve Estimation from Time Series by : Lazlo Györfi
Download or read book Nonparametric Curve Estimation from Time Series written by Lazlo Györfi and published by Springer. This book was released on 2013-12-21 with total page 157 pages. Available in PDF, EPUB and Kindle. Book excerpt: Because of the sheer size and scope of the plastics industry, the title Developments in Plastics Technology now covers an incredibly wide range of subjects or topics. No single volume can survey the whole field in any depth and what follows is, therefore, a series of chapters on selected topics. The topics were selected by us, the editors, because of their immediate relevance to the plastics industry. When one considers the advancements of the plastics processing machinery (in terms of its speed of operation and conciseness of control), it was felt that several chapters should be included which related to the types of control systems used and the correct usage of hydraulics. The importance of using cellular, rubber-modified and engineering-type plastics has had a major impact on the plastics industry and therefore a chapter on each of these subjects has been included. The two remaining chapters are on the characterisation and behaviour of polymer structures, both subjects again being of current academic or industrial interest. Each of the contributions was written by a specialist in that field and to them all, we, the editors, extend our heartfelt thanks, as writing a contribution for a book such as this, while doing a full-time job, is no easy task.
Book Synopsis Nonparametric Curve Estimation from Time Series by : Lazlo Gyorfi
Download or read book Nonparametric Curve Estimation from Time Series written by Lazlo Gyorfi and published by . This book was released on 2014-09-01 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Kernel Smoothing by : Sucharita Ghosh
Download or read book Kernel Smoothing written by Sucharita Ghosh and published by John Wiley & Sons. This book was released on 2018-01-09 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Comprehensive theoretical overview of kernel smoothing methods with motivating examples Kernel smoothing is a flexible nonparametric curve estimation method that is applicable when parametric descriptions of the data are not sufficiently adequate. This book explores theory and methods of kernel smoothing in a variety of contexts, considering independent and correlated data e.g. with short-memory and long-memory correlations, as well as non-Gaussian data that are transformations of latent Gaussian processes. These types of data occur in many fields of research, e.g. the natural and the environmental sciences, and others. Nonparametric density estimation, nonparametric and semiparametric regression, trend and surface estimation in particular for time series and spatial data and other topics such as rapid change points, robustness etc. are introduced alongside a study of their theoretical properties and optimality issues, such as consistency and bandwidth selection. Addressing a variety of topics, Kernel Smoothing: Principles, Methods and Applications offers a user-friendly presentation of the mathematical content so that the reader can directly implement the formulas using any appropriate software. The overall aim of the book is to describe the methods and their theoretical backgrounds, while maintaining an analytically simple approach and including motivating examples—making it extremely useful in many sciences such as geophysics, climate research, forestry, ecology, and other natural and life sciences, as well as in finance, sociology, and engineering. A simple and analytical description of kernel smoothing methods in various contexts Presents the basics as well as new developments Includes simulated and real data examples Kernel Smoothing: Principles, Methods and Applications is a textbook for senior undergraduate and graduate students in statistics, as well as a reference book for applied statisticians and advanced researchers.
Book Synopsis Nonparametric Curve Estimation from Time Series by : László Györfi
Download or read book Nonparametric Curve Estimation from Time Series written by László Györfi and published by . This book was released on 1989 with total page 153 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Kernel-based Nonparametric Curve Estimation with Statistical Applications by : Seokyung Hahn
Download or read book Kernel-based Nonparametric Curve Estimation with Statistical Applications written by Seokyung Hahn and published by . This book was released on 1997 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Kernels for Nonparametric Curve Estimation by : T. Gasser
Download or read book Kernels for Nonparametric Curve Estimation written by T. Gasser and published by . This book was released on 1983 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Nonparametric Curve Estimation by : Sam Efromovich
Download or read book Nonparametric Curve Estimation written by Sam Efromovich and published by Springer Science & Business Media. This book was released on 2008-01-19 with total page 423 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gives a systematic, comprehensive, and unified account of modern nonparametric statistics of density estimation, nonparametric regression, filtering signals, and time series analysis. The companion software package, available over the Internet, brings all of the discussed topics into the realm of interactive research. Virtually every claim and development mentioned in the book is illustrated with graphs which are available for the reader to reproduce and modify, making the material fully transparent and allowing for complete interactivity.
Book Synopsis Nonparametric Curve Estimation and Simple Curve Characteristics by : E. Mammen
Download or read book Nonparametric Curve Estimation and Simple Curve Characteristics written by E. Mammen and published by . This book was released on 1990 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Smoothing Techniques for Curve Estimation by : T. Gasser
Download or read book Smoothing Techniques for Curve Estimation written by T. Gasser and published by Springer. This book was released on 2006-12-08 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :Rainer von Sachs Publisher :Montréal : Groupe d'études et de recherche en analyse des décisions ISBN 13 : Total Pages :30 pages Book Rating :4.:/5 (312 download)
Book Synopsis Nonparametric Curve Estimation by Wavelet Thresholding with Locally Stationary Errors by : Rainer von Sachs
Download or read book Nonparametric Curve Estimation by Wavelet Thresholding with Locally Stationary Errors written by Rainer von Sachs and published by Montréal : Groupe d'études et de recherche en analyse des décisions. This book was released on 1997 with total page 30 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Very Smooth Nonparametric Curve Estimation by Penalizing Change of Curvature by : Martin Mächler (Mathematician, Switzerland)
Download or read book Very Smooth Nonparametric Curve Estimation by Penalizing Change of Curvature written by Martin Mächler (Mathematician, Switzerland) and published by . This book was released on 1993 with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Data Driven Kernel Choice in Non-parametric Curve Estimation by : Clementine Dalelane
Download or read book Data Driven Kernel Choice in Non-parametric Curve Estimation written by Clementine Dalelane and published by . This book was released on 2004 with total page 102 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Nonparametric Curve Estimation and Simple Curve Characteristics by : Enno Mammen
Download or read book Nonparametric Curve Estimation and Simple Curve Characteristics written by Enno Mammen and published by . This book was released on 1990 with total page 8 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis On the Optimal Kernels in Nonparametric Curve Estimation by : Sergej L. Leonov
Download or read book On the Optimal Kernels in Nonparametric Curve Estimation written by Sergej L. Leonov and published by . This book was released on 1998 with total page 14 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Nonparametric and Semiparametric Models by : Wolfgang Karl Härdle
Download or read book Nonparametric and Semiparametric Models written by Wolfgang Karl Härdle and published by Springer Science & Business Media. This book was released on 2012-08-27 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: The statistical and mathematical principles of smoothing with a focus on applicable techniques are presented in this book. It naturally splits into two parts: The first part is intended for undergraduate students majoring in mathematics, statistics, econometrics or biometrics whereas the second part is intended to be used by master and PhD students or researchers. The material is easy to accomplish since the e-book character of the text gives a maximum of flexibility in learning (and teaching) intensity.
