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Elements Of Statistical Computing

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Elements Of Statistical Computing

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Author : R.A. Thisted
language : en
Publisher: Routledge
Release Date : 2017-10-19

Elements Of Statistical Computing written by R.A. Thisted and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-19 with Mathematics categories.

Statistics and computing share many close relationships. Computing now permeates every aspect of statistics, from pure description to the development of statistical theory. At the same time, the computational methods used in statistical work span much of computer science. Elements of Statistical Computing covers the broad usage of computing in statistics. It provides a comprehensive account of the most important computational statistics. Included are discussions of numerical analysis, numerical integration, and smoothing. The author give special attention to floating point standards and numerical analysis; iterative methods for both linear and nonlinear equation, such as Gauss-Seidel method and successive over-relaxation; and computational methods for missing data, such as the EM algorithm. Also covered are new areas of interest, such as the Kalman filter, projection-pursuit methods, density estimation, and other computer-intensive techniques.

Elements Of Statistical Computing

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Author : R.A. Thisted
language : en
Publisher: Routledge
Release Date : 2017-10-19

Elements Of Statistical Computing

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Author :
language : en
Publisher:
Release Date : 1991

Elements Of Statistical Computing written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with categories.

Elements Of Statistical Computing

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Author : Ronald Aaron Thisted
language : en
Publisher:
Release Date : 1996

Elements Of Statistical Computing written by Ronald Aaron Thisted and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with categories.

The Elements Of Statistical Learning

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Author : Trevor Hastie
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-11-11

The Elements Of Statistical Learning written by Trevor Hastie 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 2013-11-11 with Mathematics categories.

During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It is a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting---the first comprehensive treatment of this topic in any book. This major new edition features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression & path algorithms for the lasso, non-negative matrix factorization, and spectral clustering. There is also a chapter on methods for ``wide'' data (p bigger than n), including multiple testing and false discovery rates.

Elements Of Statistical Computing

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Author : Ronald Aaron Thisted
language : en
Publisher:
Release Date : 1988

The Elements Of Statistical Learning

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Author : Trevor Hastie
language : en
Publisher:
Release Date : 2009

The Elements Of Statistical Learning written by Trevor Hastie and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Biology categories.

Elements Of Computational Statistics

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Author : James E. Gentle
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-04-18

Elements Of Computational Statistics written by James E. Gentle 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 2006-04-18 with Computers categories.

Will provide a more elementary introduction to these topics than other books available; Gentle is the author of two other Springer books

Statistical Computing In Nuclear Imaging

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Author : Arkadiusz Sitek
language : en
Publisher: CRC Press
Release Date : 2014-12-17

Statistical Computing In Nuclear Imaging written by Arkadiusz Sitek and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-12-17 with Science categories.

This book is highly focused on computational aspects of Bayesian data analysis of photon-limited data acquired in tomographic measurements in nuclear imaging. Basic Bayesian statistical concepts, elements of Bayesian decision theory, and counting statistics are discussed in the first chapters. Monte Carlo methods and Markov chains in posterior analysis are discussed next along with an introduction to nuclear imaging and applications. The final chapter includes illustrative examples of statistical computing based on Poisson-multinomial statistics. Examples include calculation of Bayes factors and risks, and Bayesian decision making and hypothesis testing.

Statistical Methods For Physical Science

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Author :
language : en
Publisher: Academic Press
Release Date : 1994-12-13

Statistical Methods For Physical Science written by and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994-12-13 with Science categories.

This volume of Methods of Experimental Physics provides an extensive introduction to probability and statistics in many areas of the physical sciences, with an emphasis on the emerging area of spatial statistics. The scope of topics covered is wide-ranging-the text discusses a variety of the most commonly used classical methods and addresses newer methods that are applicable or potentially important. The chapter authors motivate readers with their insightful discussions. - Examines basic probability, including coverage of standard distributions, time series models, and Monte Carlo methods - Describes statistical methods, including basic inference, goodness of fit, maximum likelihood, and least squares - Addresses time series analysis, including filtering and spectral analysis - Includes simulations of physical experiments - Features applications of statistics to atmospheric physics and radio astronomy - Covers the increasingly important area of modern statistical computing

Elements Of Statistical Computing

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