Bootstrapping Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Bootstrapping book. This book definitely worth reading, it is an incredibly well-written.
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 by Christopher Z. Mooney,Robert D. Duval,Robert Duvall Pdf
"This book is. . . clear and well-written. . . anyone with any interest in the basis of quantitative analysis simply must read this book. . . . well-written, with a wealth of explanation. . ." --Dougal Hutchison in Educational Research Using real data examples, this volume shows how to apply bootstrapping when the underlying sampling distribution of a statistic cannot be assumed normal, as well as when the sampling distribution has no analytic solution. In addition, it discusses the advantages and limitations of four bootstrap confidence interval methods--normal approximation, percentile, bias-corrected percentile, and percentile-t. The book concludes with a convenient summary of how to apply this computer-intensive methodology using various available software packages.
Normal 0 false false false MicrosoftInternetExplorer4 With a focus on practical techniques, entrepreneurs learn how to stretch resources and thrive on lean budgets. The text focuses on bootstrapping techniques for a variety of ventures-from small, family-owned businesses to high-growth upstarts. While this book treats the subject of securing initial financing for the start-up venture, it also fully explores how entrepreneurs manage and sustain the business as it grows.The Art of Bootstrapping; techniques; key fixed costs; staffing and human resources; efficient processes; for start-ups; managing a bootstrapped business; financing and day-to-day cash-flow management; creating and sustaining a bootstrapping culture. MARKET For entrepreneurs who find themselves unable to secure venture capital to launch their new business, bootstrapping can be the answer. Students are taught how to strictly control their finances and solve financial problems with creativity and discipline in this one-of-a-kind text.
An Introduction to the Bootstrap by Bradley Efron,R.J. Tibshirani Pdf
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.
Author : Felix Bittmann Publisher : Walter de Gruyter GmbH & Co KG Page : 128 pages File Size : 49,8 Mb Release : 2021-04-19 Category : Business & Economics ISBN : 9783110693348
Bootstrapping is a conceptually simple statistical technique to increase the quality of estimates, conduct robustness checks and compute standard errors for virtually any statistic. This book provides an intelligible and compact introduction for students, scientists and practitioners. It not only gives a clear explanation of the underlying concepts but also demonstrates the application of bootstrapping using Python and Stata.
Input Matters in SLA by Thorsten Piske,Martha Young-Scholten Pdf
This volume bridges the gap between theory and practice by bringing together well-known and new authors to discuss a topic of mutual interest to second language researchers and teachers alike: input. Reader-friendly chapters offer a range of existing and new perspectives on input in morphology, syntax, phonetics and phonology.
Bootstrapping Microservices with Docker, Kubernetes, and Terraform by Ashley Davis Pdf
Summary The best way to learn microservices development is to build something! Bootstrapping Microservices with Docker, Kubernetes, and Terraform guides you from zero through to a complete microservices project, including fast prototyping, development, and deployment. You’ll get your feet wet using industry-standard tools as you learn and practice the practical skills you’ll use for every microservices application. Following a true bootstrapping approach, you’ll begin with a simple, familiar application and build up your knowledge and skills as you create and deploy a real microservices project. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Taking microservices from proof of concept to production is a complex, multi-step operation relying on tools like Docker, Terraform, and Kubernetes for packaging and deployment. The best way to learn the process is to build a project from the ground up, and that’s exactly what you’ll do with this book! About the book In Bootstrapping Microservices with Docker, Kubernetes, and Terraform, author Ashley Davis lays out a comprehensive approach to building microservices. You’ll start with a simple design and work layer-by-layer until you’ve created your own video streaming application. As you go, you’ll learn to configure cloud infrastructure with Terraform, package microservices using Docker, and deploy your finished project to a Kubernetes cluster. What's inside Developing and testing microservices applications Working with cloud providers Applying automated testing Implementing infrastructure as code and setting up a continuous delivery pipeline Monitoring, managing, and troubleshooting About the reader Examples are in JavaScript. No experience with microservices, Kubernetes, Terraform, or Docker required. About the author Ashley Davis is a software developer, entrepreneur, stock trader, and the author of Manning’s Data Wrangling with JavaScript. Table of Contents 1 Why microservices? 2 Creating your first microservice 3 Publishing your first microservice 4 Data management for microservices 5 Communication between microservices 6 Creating your production environment 7 Getting to continuous delivery 8 Automated testing for microservices 9 Exploring FlixTube 10 Healthy microservices 11 Pathways to scalability
Strategic Bootstrapping by Matthew W. Rutherford Pdf
Strategic Bootstrapping is about helping entrepreneurs sift through the “noise” regarding bootstrapping a start-up. The cold-hard facts on bootstrapping are presented. Practically speaking, most entrepreneurs should avoid bootstrapping, realistically, most entrepreneurs will need to engage in some form of bootstrapping. The argument then shifts to how should one bootstrap? In this era of lean start-ups, effectuation, and bricolage, bootstrapping is oft romanticized but seldom analyzed. This book is different from other bootstrapping books in two key ways. First, it draws on evidence from scienti c study to offer best practices. Second, it utilizes this evidence to help en- trepreneurs thrive—not just survive.
Bootstrap Methods by Gerhard Dikta,Marsel Scheer Pdf
This book provides a compact introduction to the bootstrap method. In addition to classical results on point estimation and test theory, multivariate linear regression models and generalized linear models are covered in detail. Special attention is given to the use of bootstrap procedures to perform goodness-of-fit tests to validate model or distributional assumptions. In some cases, new methods are presented here for the first time. The text is motivated by practical examples and the implementations of the corresponding algorithms are always given directly in R in a comprehensible form. Overall, R is given great importance throughout. Each chapter includes a section of exercises and, for the more mathematically inclined readers, concludes with rigorous proofs. The intended audience is graduate students who already have a prior knowledge of probability theory and mathematical statistics.
An unsparing, incisive, yet ultimately hopeful look at how we can shed the American obsession with self-reliance that has made us less healthy, less secure, and less fulfilled The promise that you can “pull yourself up by your bootstraps” is central to the story of the American Dream. It’s the belief that if you work hard and rely on your own resources, you will eventually succeed. However, time and again we have seen how this foundational myth, with its emphasis on individual determination, brittle self-sufficiency, and personal accomplishment, does not help us. Instead, as income inequality rises around us, we are left with shame and self-blame for our condition. Acclaimed journalist Alissa Quart argues that at the heart of our suffering is a do-it-yourself ethos, the misplaced belief in our own independence and the conviction that we must rely on ourselves alone. Looking at a range of delusions and half solutions—from “grit” to the false Horatio Alger story to the rise of GoFundMe—Quart reveals how we have been steered away from robust social programs that would address the root causes of our problems. Meanwhile, the responsibility for survival has been shifted onto the backs of ordinary people, burdening generations with debt instead of providing the social safety net we so desperately need. Insightful, sharply argued, and characterized by Quart’s lively writing and deep reporting, and for fans of Evicted and Nickel and Dimed, Bootstrapped is a powerful examination of what ails us at a societal level and a plan for how we can free ourselves from these self-defeating narratives.
A practical and accessible introduction to the bootstrap method——newly revised and updated Over the past decade, the application of bootstrap methods to new areas of study has expanded, resulting in theoretical and applied advances across various fields. Bootstrap Methods, Second Edition is a highly approachable guide to the multidisciplinary, real-world uses of bootstrapping and is ideal for readers who have a professional interest in its methods, but are without an advanced background in mathematics. Updated to reflect current techniques and the most up-to-date work on the topic, the Second Edition features: The addition of a second, extended bibliography devoted solely to publications from 1999–2007, which is a valuable collection of references on the latest research in the field A discussion of the new areas of applicability for bootstrap methods, including use in the pharmaceutical industry for estimating individual and population bioequivalence in clinical trials A revised chapter on when and why bootstrap fails and remedies for overcoming these drawbacks Added coverage on regression, censored data applications, P-value adjustment, ratio estimators, and missing data New examples and illustrations as well as extensive historical notes at the end of each chapter With a strong focus on application, detailed explanations of methodology, and complete coverage of modern developments in the field, Bootstrap Methods, Second Edition is an indispensable reference for applied statisticians, engineers, scientists, clinicians, and other practitioners who regularly use statistical methods in research. It is also suitable as a supplementary text for courses in statistics and resampling methods at the upper-undergraduate and graduate levels.
Bootstrapping Your Business by Greg Gianforte,Marcus Gibson Pdf
Greg Gianforte, the nation's top Bootstrapper, shows you the advantages of Bootstrapping vs. traditionally financed start-ups. You'll also learn how the unconventional Bootstrapping mindset-inventive, pioneering, and skeptical of conventional wisdom-applies to you and your business. With Bootstrapping Your Business at your side, you'll gain the advantage you need to outperform the competition-and succeed in today's take-no-prisoners marketplace.
Randomization, Bootstrap and Monte Carlo Methods in Biology by Bryan F.J. Manly,Jorge A. Navarro Alberto Pdf
Modern computer-intensive statistical methods play a key role in solving many problems across a wide range of scientific disciplines. Like its bestselling predecessors, the fourth edition of Randomization, Bootstrap and Monte Carlo Methods in Biology illustrates a large number of statistical methods with an emphasis on biological applications. The focus is now on the use of randomization, bootstrapping, and Monte Carlo methods in constructing confidence intervals and doing tests of significance. The text provides comprehensive coverage of computer-intensive applications, with data sets available online. Features Presents an overview of computer-intensive statistical methods and applications in biology Covers a wide range of methods including bootstrap, Monte Carlo, ANOVA, regression, and Bayesian methods Makes it easy for biologists, researchers, and students to understand the methods used Provides information about computer programs and packages to implement calculations, particularly using R code Includes a large number of real examples from a range of biological disciplines Written in an accessible style, with minimal coverage of theoretical details, this book provides an excellent introduction to computer-intensive statistical methods for biological researchers. It can be used as a course text for graduate students, as well as a reference for researchers from a range of disciplines. The detailed, worked examples of real applications will enable practitioners to apply the methods to their own biological data.