Bootstrapping

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Randomization Bootstrap And Monte Carlo Methods In Biology

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Author : Bryan F.J. Manly
language : en
Publisher: CRC Press
Release Date : 2018-10-03

Randomization Bootstrap And Monte Carlo Methods In Biology written by Bryan F.J. Manly and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-03 with Mathematics categories.

Modern computer-intensive statistical methods play a key role in solving many problems across a wide range of scientific disciplines. This new edition of the bestselling Randomization, Bootstrap and Monte Carlo Methods in Biology illustrates the value of a number of these methods with an emphasis on biological applications. This textbook focuses on three related areas in computational statistics: randomization, bootstrapping, and Monte Carlo methods of inference. The author emphasizes the sampling approach within randomization testing and confidence intervals. Similar to randomization, the book shows how bootstrapping, or resampling, can be used for confidence intervals and tests of significance. It also explores how to use Monte Carlo methods to test hypotheses and construct confidence intervals. New to the Third Edition Updated information on regression and time series analysis, multivariate methods, survival and growth data as well as software for computational statistics References that reflect recent developments in methodology and computing techniques Additional references on new applications of computer-intensive methods in biology Providing comprehensive coverage of computer-intensive applications while also offering data sets online, Randomization, Bootstrap and Monte Carlo Methods in Biology, Third Edition supplies a solid foundation for the ever-expanding field of statistics and quantitative analysis in biology.

An Introduction To The Bootstrap

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Author : Bradley Efron
language : en
Publisher: CRC Press
Release Date : 1994-05-15

An Introduction To The Bootstrap written by Bradley Efron and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994-05-15 with Mathematics categories.

Statistics is a subject of many uses and surprisingly few effective practitioners. The traditional road to statistical knowledge is blocked, for most, by a formidable wall of mathematics. The approach in An Introduction to the Bootstrap avoids that wall. It arms scientists and engineers, as well as statisticians, with the computational techniques they need to analyze and understand complicated data sets.

Bootstrapping

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Author : Thierry Bardini
language : en
Publisher: Stanford University Press
Release Date : 2000

Bootstrapping written by Thierry Bardini and has been published by Stanford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Computers categories.

This tells the story of Douglas Engelbart's revolutionary vision, reaching beyond conventional histories of Silicon Valley to probe the ideology that shaped some of the basic ingredients of contemporary life.

Bootstrapping

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Author : Christopher Z. Mooney
language : en
Publisher: SAGE
Release Date : 1993-08-09

Bootstrapping written by Christopher Z. Mooney and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993-08-09 with Philosophy categories.

This book is. . . clear and well-written. . . anyone with any interest in the basis of quantitative analysis simply must read this book. . . . well-written, with a wealth of explanation. . . --Dougal Hutchison in Educational Research Using real data examples, this volume shows how to apply bootstrapping when the underlying sampling distribution of a statistic cannot be assumed normal, as well as when the sampling distribution has no analytic solution. In addition, it discusses the advantages and limitations of four bootstrap confidence interval methods--normal approximation, percentile, bias-corrected percentile, and percentile-t. The book concludes with a convenient summary of how to apply this computer-intensive methodology using various available software packages.

Bootstrap Techniques For Signal Processing

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Author : Abdelhak M. Zoubir
language : en
Publisher: Cambridge University Press
Release Date : 2004-05-06

Bootstrap Techniques For Signal Processing written by Abdelhak M. Zoubir and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-05-06 with Technology & Engineering categories.

The statistical bootstrap is one of the methods that can be used to calculate estimates of a certain number of unknown parameters of a random process or a signal observed in noise, based on a random sample. Such situations are common in signal processing and the bootstrap is especially useful when only a small sample is available or an analytical analysis is too cumbersome or even impossible. This book covers the foundations of the bootstrap, its properties, its strengths and its limitations. The authors focus on bootstrap signal detection in Gaussian and non-Gaussian interference as well as bootstrap model selection. The theory developed in the book is supported by a number of useful practical examples written in MATLAB. The book is aimed at graduate students and engineers, and includes applications to real-world problems in areas such as radar and sonar, biomedical engineering and automotive engineering.

Bootstrap Methods And Their Application

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Author : A. C. Davison
language : en
Publisher: Cambridge University Press
Release Date : 1997-10-28

Bootstrap Methods And Their Application written by A. C. Davison and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-10-28 with Computers categories.

Disk contains the library functions and documentation for use with Splus for Windows.

Bootstrapped

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Author : Alissa Quart
language : en
Publisher: HarperCollins
Release Date : 2023-03-14

Bootstrapped written by Alissa Quart and has been published by HarperCollins this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-14 with Social Science categories.

An unsparing, incisive, yet ultimately hopeful look at how we can shed the American obsession with self-reliance that has made us less healthy, less secure, and less fulfilled The promise that you can “pull yourself up by your bootstraps” is central to the story of the American Dream. It’s the belief that if you work hard and rely on your own resources, you will eventually succeed. However, time and again we have seen how this foundational myth, with its emphasis on individual determination, brittle self-sufficiency, and personal accomplishment, does not help us. Instead, as income inequality rises around us, we are left with shame and self-blame for our condition. Acclaimed journalist Alissa Quart argues that at the heart of our suffering is a do-it-yourself ethos, the misplaced belief in our own independence and the conviction that we must rely on ourselves alone. Looking at a range of delusions and half solutions—from “grit” to the false Horatio Alger story to the rise of GoFundMe—Quart reveals how we have been steered away from robust social programs that would address the root causes of our problems. Meanwhile, the responsibility for survival has been shifted onto the backs of ordinary people, burdening generations with debt instead of providing the social safety net we so desperately need. Insightful, sharply argued, and characterized by Quart’s lively writing and deep reporting, and for fans of Evicted and Nickel and Dimed, Bootstrapped is a powerful examination of what ails us at a societal level and a plan for how we can free ourselves from these self-defeating narratives.

Multilevel Analysis

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Author : J. J. Hox
language : en
Publisher: Psychology Press
Release Date : 2002

Multilevel Analysis written by J. J. Hox and has been published by Psychology Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Mathematics categories.

This volume provides an introduction to multilevel analysis for applied researchers. The book presents two types of multilevel models: the multilevel regression model and a model for multilevel covariance structures.

Bootstrapping Stationary Arma Garch Models

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Author : Kenichi Shimizu
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-11-01

Bootstrapping Stationary Arma Garch Models written by Kenichi Shimizu 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 2010-11-01 with Mathematics categories.

Bootstrap technique is a useful tool for assessing uncertainty in statistical estimation and thus it is widely applied for risk management. Bootstrap is without doubt a promising technique, however, it is not applicable to all time series models. A wrong application could lead to a false decision to take too much risk. Kenichi Shimizu investigates the limit of the two standard bootstrap techniques, the residual and the wild bootstrap, when these are applied to the conditionally heteroscedastic models, such as the ARCH and GARCH models. The author shows that the wild bootstrap usually does not work well when one estimates conditional heteroscedasticity of Engle’s ARCH or Bollerslev’s GARCH models while the residual bootstrap works without problems. Simulation studies from the application of the proposed bootstrap methods are demonstrated together with the theoretical investigation.

The Weighted Bootstrap

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Author : Philippe Barbe
language : en
Publisher: Springer Science & Business Media
Release Date : 1995-02-24

The Weighted Bootstrap written by Philippe Barbe 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 1995-02-24 with Mathematics categories.

This monograph presents an account of the asymptotic behaviour of the weighted bootstrap - a new and powerful statistical technique. Researchers and advanced graduate students studying bootstrap methods will find this a valuable technical survey which is thorough and rigorous. The main aim of this book is to answer two questions: How well does the generalized bootstrap work? What are the differences between all the different weighted schemes? Readers are assumed to have already some familiarity with the bootstrap, but otherwise the account is as self-contained as possible. Proofs are presented in detail, though some lengthy calculations are deferred to appendices.