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.

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

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.

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

The real-life Nickel and Dimed—the author of the wildly popular “Poverty Thoughts” essay tells what it’s like to be working poor in America. ONE OF THE FIVE MOST IMPORTANT BOOKS OF THE YEAR--Esquire “DEVASTATINGLY SMART AND FUNNY. I am the author of Nickel and Dimed, which tells the story of my own brief attempt, as a semi-undercover journalist, to survive on low-wage retail and service jobs. TIRADO IS THE REAL THING.”—Barbara Ehrenreich, from the Foreword As the haves and have-nots grow more separate and unequal in America, the working poor don’t get heard from much. Now they have a voice—and it’s forthright, funny, and just a little bit furious. Here, Linda Tirado tells what it’s like, day after day, to work, eat, shop, raise kids, and keep a roof over your head without enough money. She also answers questions often asked about those who live on or near minimum wage: Why don’t they get better jobs? Why don’t they make better choices? Why do they smoke cigarettes and have ugly lawns? Why don’t they borrow from their parents? Enlightening and entertaining, Hand to Mouth opens up a new and much-needed dialogue between the people who just don’t have it and the people who just don’t get it.

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.