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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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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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An Introduction to Bootstrap Methods with Applications to R

Applications to R explores the practicality of this approach and successfully utilizes R to illustrate applications for the bootstrap and other;

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Bootstrap Site Blueprints

A handson guide with projects based on fictitious, but common, application development briefs, which will illustrate practical ways;

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Bootstrap 4 Site Blueprints

each project teaches you about the various functionalities of Bootstrap 4 and their implementation. The book starts off by getting you up and;

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Hands-On Dashboard Development with Shiny

single application, but the interface will be reskinned and rebuilt throughout using different methods to illustrate their uses and functions;

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Vue.js 2 and Bootstrap 4 Web Development

* Create and build web applications using Vue.js, Webpack, and Nuxt.js * Combine Bootstrap components with Vue.js' power to enrich your web;

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Exploring the Limits of Bootstrap

Explores the application of bootstrap to problems that place unusual demands on the method. The bootstrap method, introduced by Bradley;

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Randomization, Bootstrap and Monte Carlo Methods in Biology

its bestselling predecessors, the fourth edition of Randomization, Bootstrap and Monte Carlo Methods in Biology illustrates a large number;

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Randomization, Bootstrap and Monte Carlo Methods in Biology

its bestselling predecessors, the fourth edition of Randomization, Bootstrap and Monte Carlo Methods in Biology illustrates a large number;

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Web Development with Bootstrap 4 and Angular 2 -

* Updated for the latest releases of Angular and Bootstrap, this book shows you how to build web applications with cutting-edge web technologies;

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Bootstrap Techniques for Signal Processing

random process or a signal observed in noise, based on a random sample. Such situations are common in signal processing and the bootstrap;

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Bootstrap Techniques for Signal Processing

random process or a signal observed in noise, based on a random sample. Such situations are common in signal processing and the bootstrap;

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Bootstrap Tests For Regression Models

An accessible discussion examining computationally-intensive techniques and bootstrap methods, providing ways to improve the finite-sample;

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Bootstrap Tests for Regression Models

An accessible discussion examining computationally-intensive techniques and bootstrap methods, providing ways to improve the finite-sample;

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Comparing Groups

applying newly derived data analytic techniques. Comparing Groups: Randomization and Bootstrap Methods Using R emphasizes the direct link between;

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Mastering Bootstrap 4

your Bootstrap-based project before deployment * Incorporate Bootstrap into an AngularJS or React application and use Bootstrap components as;

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ASP.NET MVC 5 With Bootstrap & Knockout.

application. Build well-organized, easy-to-maintain web applications by letting ASP.NET MVC 5, Bootstrap, and Knockout.js do the heavy lifting Use;

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Nonparametric Statistical Tests

different statistical methods, such as permutation and bootstrap tests. The author considers example data sets in each chapter to illustrate methods;

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Nonparametric Statistical Tests

different statistical methods, such as permutation and bootstrap tests. The author considers example data sets in each chapter to illustrate methods;

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Bootstrap Site Blueprints Volume II

Maximize the potential of Bootstrap with a collection of real-world site projects for better, faster, more responsive web applications;

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Resampling Methods for Dependent Data

By giving a detailed account of bootstrap methods and their properties for dependent data, this book provides illustrative numerical;

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Computer Intensive Statistical Methods

This book focuses on computer intensive statistical methods, such as validation, model selection, and bootstrap, that help overcome;

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Computer Intensive Statistical Methods

This book focuses on computer intensive statistical methods, such as validation, model selection, and bootstrap, that help overcome;

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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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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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