An Introduction to the Foundations of the Bootstrap
| Author | : Kunthel By |
| Publisher | : |
| Total Pages | : 146 |
| Release | : 2004 |
| Genre | : Bootstrap (Statistics) |
| ISBN | : |
An Introduction To The Foundations Of The Bootstrap
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Bootstrap 5 Foundations
| Author | : Daniel Charles Foreman |
| Publisher | : Independently Published |
| Total Pages | : 142 |
| Release | : 2021-05-06 |
| Genre | : |
| ISBN | : |
Bootstrap is a HTML5, CSS and JavaScript framework that enjoys 72% of the market share. It is used to create mobile-first responsive websites quickly and easily. Bootstrap 5 is the newest version of this framework. Leaving behind jQuery for a more integrated web languages model Bootstrap 5 will drive a new generation of websites.No matter what your goal, this eBook will get you working with and understanding how Bootstrap 5 works. No matter what your goal, curiosity, career building, developing a business website. This eBook will give you the understanding you need to take existing HTML5 skills and use them with the world's most popular web framework.
The Bootstrap and Edgeworth Expansion
| Author | : Peter Hall |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 359 |
| Release | : 2013-12-01 |
| Genre | : Mathematics |
| ISBN | : 146124384X |
This monograph addresses two quite different topics, each being able to shed light on the other. Firstly, it lays the foundation for a particular view of the bootstrap. Secondly, it gives an account of Edgeworth expansion. The first two chapters deal with the bootstrap and Edgeworth expansion respectively, while chapters 3 and 4 bring these two themes together, using Edgeworth expansion to explore and develop the properties of the bootstrap. The book is aimed at graduate level for those with some exposure to the methods of theoretical statistics. However, technical details are delayed until the last chapter such that mathematically able readers without knowledge of the rigorous theory of probability will have no trouble understanding most of the book.
An Introduction to the Bootstrap
| Author | : Bradley Efron |
| Publisher | : CRC Press |
| Total Pages | : 456 |
| Release | : 1994-05-15 |
| Genre | : Mathematics |
| ISBN | : 9780412042317 |
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.
Bootstrap Techniques for Signal Processing
| Author | : Abdelhak M. Zoubir |
| Publisher | : Cambridge University Press |
| Total Pages | : 238 |
| Release | : 2004-05-06 |
| Genre | : Technology & Engineering |
| ISBN | : 9781139452021 |
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.
Time Series
| Author | : Dimitris N. Politis |
| Publisher | : CRC Press |
| Total Pages | : 427 |
| Release | : 2019-12-09 |
| Genre | : Mathematics |
| ISBN | : 0429527225 |
Time Series: A First Course with Bootstrap Starter provides an introductory course on time series analysis that satisfies the triptych of (i) mathematical completeness, (ii) computational illustration and implementation, and (iii) conciseness and accessibility to upper-level undergraduate and M.S. students. Basic theoretical results are presented in a mathematically convincing way, and the methods of data analysis are developed through examples and exercises parsed in R. A student with a basic course in mathematical statistics will learn both how to analyze time series and how to interpret the results. The book provides the foundation of time series methods, including linear filters and a geometric approach to prediction. The important paradigm of ARMA models is studied in-depth, as well as frequency domain methods. Entropy and other information theoretic notions are introduced, with applications to time series modeling. The second half of the book focuses on statistical inference, the fitting of time series models, as well as computational facets of forecasting. Many time series of interest are nonlinear in which case classical inference methods can fail, but bootstrap methods may come to the rescue. Distinctive features of the book are the emphasis on geometric notions and the frequency domain, the discussion of entropy maximization, and a thorough treatment of recent computer-intensive methods for time series such as subsampling and the bootstrap. There are more than 600 exercises, half of which involve R coding and/or data analysis. Supplements include a website with 12 key data sets and all R code for the book's examples, as well as the solutions to exercises.
Foundations and Applications of Statistics
| Author | : Randall Pruim |
| Publisher | : American Mathematical Soc. |
| Total Pages | : 842 |
| Release | : 2018-04-04 |
| Genre | : Computers |
| ISBN | : 1470428482 |
Foundations and Applications of Statistics simultaneously emphasizes both the foundational and the computational aspects of modern statistics. Engaging and accessible, this book is useful to undergraduate students with a wide range of backgrounds and career goals. The exposition immediately begins with statistics, presenting concepts and results from probability along the way. Hypothesis testing is introduced very early, and the motivation for several probability distributions comes from p-value computations. Pruim develops the students' practical statistical reasoning through explicit examples and through numerical and graphical summaries of data that allow intuitive inferences before introducing the formal machinery. The topics have been selected to reflect the current practice in statistics, where computation is an indispensible tool. In this vein, the statistical computing environment R is used throughout the text and is integral to the exposition. Attention is paid to developing students' mathematical and computational skills as well as their statistical reasoning. Linear models, such as regression and ANOVA, are treated with explicit reference to the underlying linear algebra, which is motivated geometrically. Foundations and Applications of Statistics discusses both the mathematical theory underlying statistics and practical applications that make it a powerful tool across disciplines. The book contains ample material for a two-semester course in undergraduate probability and statistics. A one-semester course based on the book will cover hypothesis testing and confidence intervals for the most common situations. In the second edition, the R code has been updated throughout to take advantage of new R packages and to illustrate better coding style. New sections have been added covering bootstrap methods, multinomial and multivariate normal distributions, the delta method, numerical methods for Bayesian inference, and nonlinear least squares. Also, the use of matrix algebra has been expanded, but remains optional, providing instructors with more options regarding the amount of linear algebra required.
Bootstrap
| Author | : Jake Spurlock |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 127 |
| Release | : 2013-05-08 |
| Genre | : Computers |
| ISBN | : 1449344607 |
Discover how easy it is to design killer interfaces and responsive websites with the Bootstrap framework. This practical book gets you started building pages with Bootstrap’s HTML/CSS-based tools and design templates right away. You’ll also learn how to extend your app with interactive features, using its suite of jQuery plugins—often without writing a single line of code. Developed by Twitter and available free from GitHub, Bootstrap supports responsive design by dynamically adjusting your web page layout. With just a basic knowledge of HTML, CSS, and JavaScript, you can build apps that work equally well on desktop screens, smartphones, and tablets. This book shows you how. Become familiar with Bootstrap’s file structure, grid systems, and container layouts Learn HTML elements for typography, code, tables, forms, buttons, images, and icons Design interfaces and other web elements, such as navigation, breadcrumbs, and custom modal windows Use jQuery plugins for features such as revolving slideshows, tabbable interfaces, and dropdown menus Modify everything from column count to typography colors with the LESS stylesheet language
The Bootstrap and Edgeworth Expansion
| Author | : Peter Hall |
| Publisher | : Springer |
| Total Pages | : 354 |
| Release | : 1992-01-09 |
| Genre | : Mathematics |
| ISBN | : 9780387977201 |
This monograph addresses two quite different topics, each being able to shed light on the other. Firstly, it lays the foundation for a particular view of the bootstrap. Secondly, it gives an account of Edgeworth expansion. The first two chapters deal with the bootstrap and Edgeworth expansion respectively, while chapters 3 and 4 bring these two themes together, using Edgeworth expansion to explore and develop the properties of the bootstrap. The book is aimed at graduate level for those with some exposure to the methods of theoretical statistics. However, technical details are delayed until the last chapter such that mathematically able readers without knowledge of the rigorous theory of probability will have no trouble understanding most of the book.
Bootstrap in 24 Hours, Sams Teach Yourself
| Author | : Jennifer Kyrnin |
| Publisher | : Sams Publishing |
| Total Pages | : 845 |
| Release | : 2015-11-04 |
| Genre | : Computers |
| ISBN | : 0133540235 |
Learn to create great-looking responsive web sites with Bootstrap In just 24 lessons of one hour or less, Sams Teach Yourself Bootstrap in 24 Hours helps you use the free and open source Bootstrap framework to quickly build websites that automatically reflect each user’s device and experience, without complex hand crafting. This book’s straightforward, step-by-step approach shows you how to install Bootstrap and quickly build basic sites; extend them with styles, components, and JavaScript plug-ins, and even create sophisticated designs with advanced features. In just a few hours, you’ll be using Bootstrap to bring responsive design to virtually any site. Every lesson builds on what you’ve already learned, giving you a rock-solid foundation for real-world success. Step-by-step instructions carefully walk you through the most common Bootstrap development tasks Practical, hands-on examples show you how to apply what you learn Quizzes and exercises help you test your knowledge and stretch your skills Notes and tips point out shortcuts and solution Learn how to... Download Bootstrap and integrate it into your project Quickly build your first Bootstrap site with the basic template Create beautiful and responsive site layouts with Bootstrap’s built-in grids Display more interesting text with labels, badges, panels, and wells Style tables and forms so they’re attractive, readable, and responsive Use images, media, and icons, including free Glyphicons Quickly create navigation and buttons, including dropdowns and search fields Add alignment, color, and visibility with Bootstrap’s CSS utilities Extend your site with alerts, image carousels, and other JavaScript plugins Rapidly create appealing functional prototypes Customize Bootstrap with CSS, Less, and Sass Lighten Bootstrap downloads by stripping out unnecessary features Build accessible sites Create complex designs that don’t look generic Who This Book is For Those who already have an understanding of the basics of HTML and CSS Having an understanding of JavaScript will make this book a bit easier to absorb, but it is not required because the basics of JavaScript are covered
