kernel smoothing in matlab theory and practice of kernel smoothing

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Kernel Smoothing In Matlab

Author : Ivana Horová
ISBN : 9789814405485
Genre : Mathematics
File Size : 60. 58 MB
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Summary: Offers a comprehensive overview of statistical theory and emphases the implementation of presented methods in Matlab. This title contains various Matlab scripts useful for kernel smoothing of density, cumulative distribution function, regression function, hazard function, indices of quality and bivariate density.

Kernel Smoothing In Matlab

Author : Ivanka Horová
ISBN : 9789814405508
Genre : Mathematics
File Size : 46. 80 MB
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Methods of kernel estimates represent one of the most effective nonparametric smoothing techniques. These methods are simple to understand and they possess very good statistical properties. This book provides a concise and comprehensive overview of statistical theory and in addition, emphasis is given to the implementation of presented methods in Matlab. All created programs are included in a special toolbox which is an integral part of the book. This toolbox contains many Matlab scripts useful for kernel smoothing of density, cumulative distribution function, regression function, hazard function, indices of quality and bivariate density. Specifically, methods for choosing a choice of the optimal bandwidth and a special procedure for simultaneous choice of the bandwidth, the kernel and its order are implemented. The toolbox is divided into six parts according to the chapters of the book. All scripts are included in a user interface and it is easy to manipulate with this interface. Each chapter of the book contains a detailed help for the related part of the toolbox too. This book is intended for newcomers to the field of smoothing techniques and would also be appropriate for a wide audience: advanced graduate, PhD students and researchers from both the statistical science and interface disciplines. Contents:IntroductionUnivariate Kernel Density EstimationKernel Estimation of a Distribution FunctionKernel Estimation and Reliability AssessmentKernel Estimation of a Hazard FunctionKernel Estimation of a Regression FunctionMultivariate Kernel Density Estimation Readership: Advanced graduate students, researchers in mathematics or statistics. Keywords:Kernel;Bandwidth;Density Estimate;Kernel Regression;Hazard FunctionKey Features:Toolbox in MatlabBrief overview of existing methodsDeveloping a new unifying bandwidth selection method

Multivariate Kernel Smoothing And Its Applications

Author : José E. Chacón
ISBN : 9780429939143
Genre : Mathematics
File Size : 33. 58 MB
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Kernel smoothing has greatly evolved since its inception to become an essential methodology in the Data Science tool kit for the 21st century. Its widespread adoption is due to its fundamental role for multivariate exploratory data analysis, as well as the crucial role it plays in composite solutions to complex data challenges. Multivariate Kernel Smoothing and Its Applications offers a comprehensive overview of both aspects. It begins with a thorough exposition of the approaches to achieve the two basic goals of estimating probability density functions and their derivatives. The focus then turns to the applications of these approaches to more complex data analysis goals, many with a geometric/topological flavour, such as level set estimation, clustering (unsupervised learning), principal curves, and feature significance. Other topics, while not direct applications of density (derivative) estimation but sharing many commonalities with the previous settings, include classification (supervised learning), nearest neighbour estimation, and deconvolution for data observed with error. For a Data Scientist, each chapter contains illustrative Open Data examples that are analysed by the most appropriate kernel smoothing method. The emphasis is always placed on an intuitive understanding of the data provided by the accompanying statistical visualisations. For a reader wishing to investigate further the details of their underlying statistical reasoning, a graduated exposition to a unified theoretical framework is provided. The algorithms for efficient software implementation are also discussed. José E. Chacón is an associate professor at the Department of Mathematics of the Universidad de Extremadura in Spain. Tarn Duong is a Senior Data Scientist for a start- up which provides short distance carpooling services in France. Both authors have made important contributions to kernel smoothing research over the last couple of decades. Tarn Duong is a Senior Data Scientist for a start-up which provides short distance carpooling services in France. Both authors have made important contributions to kernel smoothing research over the last couple of decades.

Nonparametric Kernel Density Estimation And Its Computational Aspects

Author : Artur Gramacki
ISBN : 9783319716886
Genre : Computers
File Size : 88. 75 MB
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This book describes computational problems related to kernel density estimation (KDE) – one of the most important and widely used data smoothing techniques. A very detailed description of novel FFT-based algorithms for both KDE computations and bandwidth selection are presented. The theory of KDE appears to have matured and is now well developed and understood. However, there is not much progress observed in terms of performance improvements. This book is an attempt to remedy this. The book primarily addresses researchers and advanced graduate or postgraduate students who are interested in KDE and its computational aspects. The book contains both some background and much more sophisticated material, hence also more experienced researchers in the KDE area may find it interesting. The presented material is richly illustrated with many numerical examples using both artificial and real datasets. Also, a number of practical applications related to KDE are presented.

Theory And Practice Of Infrared Technology For Nondestructive Testing

Author : Xavier Maldague
ISBN : 0471181900
Genre : Business & Economics
File Size : 80. 48 MB
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The book includes fundamental concepts of theory, instrumentation, and experimental practice as well as practical applications. An important chapter setting the book apart from other publications describes the properties of materials and presents case studies from industry. In addition, a program called IRNDT accompanies the book and is available on the Wiley ftp site. The program includes an image bank that can be used to test the principles covered in the book. * All chapters end with summaries, problems, and questions. * Authored by an acknowledged expert in the field. * Material draws on case studies to illustrate major points.

The Journal Of Imaging Science And Technology

Author :
ISBN : UOM:39015058915326
Genre : Image processing
File Size : 45. 70 MB
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Proceedings Of The Ieee Instrumentation And Measurement Technology Conference

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ISBN : UIUC:30112033009603
Genre : Electronic instruments
File Size : 30. 14 MB
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Proceedings Of The Biometrics Section

Author : American Statistical Association. Biometrics Section
ISBN : UOM:39015053987262
Genre : Biometry
File Size : 46. 50 MB
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Statistical Theory And Computational Aspects Of Smoothing

Author : International Association for Statistical Computing
ISBN : 3790809306
Genre : Mathematics
File Size : 85. 99 MB
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The series "Contributions to Statistics" contains publications in statistics and related fields. These publications are primarily monographs and multiple author works containing new research results, but conference and congress reports are also considered. Apart from the contribution to scientific progress presented, it is a notable characteristic of the series that actual publishing time is very short thus permitting authors and editors to present their results without delay.

Journal Of The Royal Statistical Society Series A Statistics In Society

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ISBN : UCAL:B3837630
Genre :
File Size : 29. 85 MB
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