Bootstrapping 101


Book Description

Written for existing and future small business owners, this book provides proven, practical tips requiring little or no money on how to grow a business. It also explains where and how to get free assistance and quality advice.




Low Risk, High Reward


Book Description

Through every step in his process, Reiss emphasizes how risk can be anticipated, managed, and significantly reduced.




Bootstrapping


Book Description

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 Democracy


Book Description

This book investigates participatory budgeting—a mainstay now of World Bank, UNDP, and USAID development programs—to ask whether its reforms truly make a difference in deepening democracy and empowering civil society.




Approaches to Bootstrapping


Book Description

Volume 1 of Approaches to Bootstrapping focuses on early word learning and syntactic development with special emphasis on the bootstrapping mechanisms by which the child using properties of the speech input enters the native linguistic system. Topics discussed in the area of lexical acquisition are: cues and mechanisms for isolating words in the input; special features of motherese and their role for early word learning; the determination of first word meanings; memory and related processing capacities in early word learning and understanding; and lexical representation and lexical access in early language production. The papers on syntactic development deal with the acquisition of grammatical prosodic features for learning language specific syntactic regularities.Volume 2 of Approaches to Bootstrapping focuses on the interaction between the development of prosodic and morphosyntactic knowledge as evidenced in the early speech of Dutch, English, German, Portugese, Spanish, Danish, Islandic, and Swedish children shedding new light on the relation between universal and language specific aspects of language acquisition. Another section of this volume deals with new approaches to language acquisition using ERP- techniques. The papers discuss in detail the relation between the development of language skills and changes in neurophysiological aspects of the brain. The potentials of these techniques for the development of new tools for an early diagnosis of children who are at risque for developmental language disorders are also pointed out. The closing section contains a synopsis of interactionist approaches to language acquisition, a discussion of the genetic and experiential origin of primitive linguistic elements in acquisition, and a discussion of structural and developmental aspects of bird song in comparison to human language. The two volumes making up Approaches to Bootstrapping present a state-of-the art interdisciplinary and cross-linguistic overview of recent developments in first language acquisition research.




An Introduction to the Bootstrap


Book Description

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.




Subsampling


Book Description

Since Efron's profound paper on the bootstrap, an enormous amount of effort has been spent on the development of bootstrap, jacknife, and other resampling methods. The primary goal of these computer-intensive methods has been to provide statistical tools that work in complex situations without imposing unrealistic or unverifiable assumptions about the data generating mechanism. This book sets out to lay some of the foundations for subsampling methodology and related methods.




Bootstrap Methods and Their Application


Book Description

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




An Introduction to Bootstrap Methods with Applications to R


Book Description

A comprehensive introduction to bootstrap methods in the R programming environment Bootstrap methods provide a powerful approach to statistical data analysis, as they have more general applications than standard parametric methods. An Introduction to Bootstrap Methods with Applications to R explores the practicality of this approach and successfully utilizes R to illustrate applications for the bootstrap and other resampling methods. This book provides a modern introduction to bootstrap methods for readers who do not have an extensive background in advanced mathematics. Emphasis throughout is on the use of bootstrap methods as an exploratory tool, including its value in variable selection and other modeling environments. The authors begin with a description of bootstrap methods and its relationship to other resampling methods, along with an overview of the wide variety of applications of the approach. Subsequent chapters offer coverage of improved confidence set estimation, estimation of error rates in discriminant analysis, and applications to a wide variety of hypothesis testing and estimation problems, including pharmaceutical, genomics, and economics. To inform readers on the limitations of the method, the book also exhibits counterexamples to the consistency of bootstrap methods. An introduction to R programming provides the needed preparation to work with the numerous exercises and applications presented throughout the book. A related website houses the book's R subroutines, and an extensive listing of references provides resources for further study. Discussing the topic at a remarkably practical and accessible level, An Introduction to Bootstrap Methods with Applications to R is an excellent book for introductory courses on bootstrap and resampling methods at the upper-undergraduate and graduate levels. It also serves as an insightful reference for practitioners working with data in engineering, medicine, and the social sciences who would like to acquire a basic understanding of bootstrap methods.




The Messy Middle


Book Description

NATIONAL BESTSELLER NAMED ONE OF THE MOST INSPIRING BOOKS OF 2018 BY INC. NAMED ONE OF THE BEST STARTUP BOOKS OF ALL TIME BY BOOKAUTHORITY The Messy Middle is the indispensable guide to navigating the volatility of new ventures and leading bold creative projects by Scott Belsky, bestselling author, entrepreneur, Chief Product Officer at Adobe, and product advisor to many of today's top start-ups. Creating something from nothing is an unpredictable journey. The first mile births a new idea into existence, and the final mile is all about letting go. We love talking about starts and finishes, even though the middle stretch is the most important and often the most ignored and misunderstood. Broken into three sections with 100+ lessons, this no-nonsense book will help you: • Endure the roller coaster of successes and failures by strengthening your resolve, embracing the long-game, and short-circuiting your reward system to get to the finish line. • Optimize what’s working so you can improve the way you hire, better manage your team, and meet your customers’ needs. • Finish strong and avoid the pitfalls many entrepreneurs make, so you can overcome resistance, exit gracefully, and continue onto your next creative endeavor with ease. With insightful interviews from today’s leading entrepreneurs, artists, writers, and executives, as well as Belsky’s own experience working with companies like Airbnb, Pinterest, Uber, and sweetgreen, The Messy Middle will outfit you to find your way through the hardest parts of any bold project or new venture.