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An Introduction to Bootstrap Methods with Applications to R

of bootstrap methods. An introduction to R programming provides the needed preparation to work with the numerous exercises and applications presented;

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Randomization, Bootstrap and Monte Carlo Methods in Biology

Written in an accessible style, with minimal coverage of theoretical details, this book provides an excellent introduction to computer-intensive;

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Randomization, Bootstrap and Monte Carlo Methods in Biology

Written in an accessible style, with minimal coverage of theoretical details, this book provides an excellent introduction to computer-intensive;

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Mathematical Statistics with Applications in R

Mathematical Statistics with Applications in R, Third Edition, offers a modern calculus-based theoretical introduction to mathematical;

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An Introduction to the Bootstrap

, for most, by a formidable wall of mathematics. The approach in An Introduction to the Bootstrap avoids that wall. It arms scientists and;

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Bootstrap Methods

This book provides a compact introduction to the bootstrap method. In addition to classical results on point estimation and test theory;

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Bootstrap Methods

This book provides a compact introduction to the bootstrap method. In addition to classical results on point estimation and test theory;

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Bootstrap Methods

A practical and accessible introduction to the bootstrap method--newly revised and updated Over the past decade, the application;

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Hands-On Dashboard Development with Shiny

layout functions to make attractive dashboards and other intuitive interfaces Get to grips with Bootstrap and leverage it in your Shiny;

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Statistical Computing with R

examples and R notes to help explain the R programming concepts. After an overview of computational statistics and an introduction to the R;

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Comparing Groups

modern approach to promote methods that provide a more complete understanding of statistical concepts. Following an introduction to R, each;

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Time Series

Time Series: A First Course with Bootstrap Starter provides an introductory course on time series analysis that satisfies the triptych;

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Time Series

Time Series: A First Course with Bootstrap Starter provides an introductory course on time series analysis that satisfies the triptych;

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Randomization, Bootstrap and Monte Carlo Methods in Biology

The fourth edition of the book illustrates a large number of statistical methods with an emphasis on biological applications. It provides;

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Biostatistical Health Research Excel

Instructor s Solutions Manual Introduction to Biostatistical Applications in Health Research with Microsoft(R) Office Excel(R) is an excellent;

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Applied Nonparametric Statistical Methods

additional material, this edition begins with a brief summary of some relevant general statistical concepts and an introduction to basic ideas;

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Solutions Manual To Accompany Introducti

Solutions Manual to accompany Introduction to Quantitative Methods in Business: With Applications Using Microsoft(R) Office Excel(R);

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Econometrics

bootstrap) principle aeo An introduction to bootstrap and jackknife methods for assessing the accuracy of an estimator aeo Detailed discussion;

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R In Finance And Economics

This book provides an introduction to the statistical software R and its application with an empirical approach in finance and economics;

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Bootstrap 4 By Example

framework to its core. We begin with an introduction to the Bootstrap framework and setting up an environment to build a simple web page. We then;

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Bootstrap Methods and their Application

completely nonparametric analysis. This 1997 book gives a broad and up-to-date coverage of bootstrap methods, with numerous applied examples;

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Mathematical Statistics with Resampling and R

and explores the benefits of modern resampling techniques. This book offers an introduction to permutation tests and bootstrap methods;

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Statistical Computing with R, Second Edition

areas with an emphasis on using the R language via an examples-based approach. The new edition is up-to-date with the many advances that have;

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Quantitative Economics with R

want to learn R. It will help economics students gain an intuitive appreciation of applied economics and enjoy engaging with the material actively;

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An Introduction to SAGE Programming

, and Newton s iterations. Providing an introduction to the terminology and concepts involved, An Introduction to SAGE Programming: With;

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Event History Analysis with R

With an emphasis on social science applications, Event History Analysis with R, Second Edition, presents an introduction to survival and;

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Bootstrap Site Blueprints Volume II

About This Book * Build Bootstrap projects quickly and easily with Harp.js, Node, and Less * Learn how to extend Bootstrap with the use;

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