Download or read book Step by Step Bootstrap 3 written by Riwanto Megosinarso and published by Createspace Independent Publishing Platform. This book was released on 2014 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to create multi-column layout, navigation bar, carousel, progress bar, popover, form validation and more. Find out how to easily customize Bootstrap to fit your style. Learn by example: all examples are fully tested and downloadable. You can reuse them on your own project. Build a responsive website from scratch - step by step. See the end result here: http://bit.ly/p-crsl Why This Book One of the big challenges in web development is maintaining the site's compatibility across devices and their various display sizes, from desktop computers to tablets and mobile phones. The last thing we want is to have a website that looks good on a desktop but is painful to navigate on a small display, or looks great on a small screen but appears oddly tiny in the center of a large screen. Ideally the site should have the ability to automatically reorganize itself to provide the optimal viewing experience, in accordance with the size of the display. In short, we want our website to be responsive. This is where Bootstrap 3 comes in handy. It makes building responsive websites easier and quicker. Aimed at absolute beginners, this book will not require you to have any experience in HTML, CSS or JQuery. You will learn as you go along. It explains the subject matter in a step by step fashion, with plenty of examples and screenshots to illustrate the points. All examples are downloadable. You can download, tweak and reuse them on your own project. You will not have to to retype everything. Who Should NOT Buy This Book If you are able to learn on your own by perusing the online documentation provided by Bootstrap, you do not need this book. Before you open your wallet, check out Bootstrap's official site and give it a go. What you will get from this book This book will guide you in transforming a simple HTML page into a responsive one. It will demonstrate how to use Bootstrap's grid system to create a multi-column layout. It will also guide you in creating a navigation bar, different types of menus (with or without dropdowns), buttons, icons, modal and tables. The book will also cover forms and form validations, where you will create a Sign Up page with some validation procedures to examine the data entered and display a warning when appropriate. Needless to say, this book will be incomplete without a lesson on customizing Bootstrap to fit your own style. The book will cover light customization that will illustrate how you can change fonts, colors and background images to make the page your own. Light customization however is good only for minimal changes in the design. To tweak the design further, you will be better off using LESS. Therefore one chapter will be dedicated to demonstrate the customization using LESS. Towards the end of the book, we will throw in some more Bootstrap components that can increase your site's appeal. You will learn about Carousel, Affix, Scrollspy, Tooltip, Popover, Collapse and Progress Bar. Not only you will learn how to display them, you will also utilize some of the controls to make them work. As the last lesson, you will learn how to show or hide certain parts of the page depending on the size of the screen. For the absolute beginners, quick introductions to CSS, LESS and compiling LESS are provided in the appendices. If you are looking for a step by step guide to responsive web development using Bootstrap, you may want to give this book a try.

Download or read book On the Appropriateness of Bootstrap written by Monsur Chowdhury and published by LAP Lambert Academic Publishing. This book was released on 2012-07 with total page 68 pages. Available in PDF, EPUB and Kindle. Book excerpt: In complex sample design it is difficult to estimate standard of statistic analytically. In some cases there is no neat formula for calculating standard error analytically. Although techniques for variance estimation and confidence intervals exist for complex survey data, they often are cumbersome to implement or do not extend to complex design. Various methods for variance estimation in complex survey data, where the sampling is done without replacement, have been developed so far. These methods include the customary linearization (or taylor) method and resampling method based on Jackknife and balanced repeated replication. These methods all have certain drawbacks, however; the linearization method requires theoritical calculation and subsequent programming of derivatives, which make it cumbersome to implement. It would be desirable to have resampling methods that reuse the existing estimation system repeatedly, using computing power to avoid theoretical work and that can be applied to complex survey design. In this book only bootstrap method for estimating standard error in complex design has been consider

Download or read book Bootstrapping written by Christopher Z. Mooney and published by SAGE. This book was released on 1993-08-09 with total page 84 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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.

Download or read book Bootstrap Methods written by Michael R. Chernick and published by John Wiley & Sons. This book was released on 2011-09-23 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book An Introduction to the Bootstrap written by Bradley Efron and published by CRC Press. This book was released on 1994-05-15 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Data Driven Statistical Methods written by Peter Sprent and published by Routledge. This book was released on 2019-12-06 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt: Calculations once prohibitively time-consuming can be completed in microseconds by modern computers. This has resulted in dramatic shifts in emphasis in applied statistics. Not only has it freed us from an obsession with the 5% and 1% significance levels imposed by conventional tables but many exact estimation procedures based on randomization tests are now as easy to carry out as approximations based on normal distribution theory. In a wider context it has facilitated the everyday use of tools such as the bootstrap and robust estimation methods as well as diagnostic tests for pinpointing or for adjusting possible aberrations or contamination that may otherwise be virtually undetectable in complex data sets. Data Driven Statistical Methods provides an insight into modern developments in statistical methodology using examples that highlight connections between these techniques as well as their relationship to other established approaches. Illustration by simple numerical examples takes priority over abstract theory. Examples and exercises are selected from many fields ranging from studies of literary style to analysis of survival data from clinical files, from psychological tests to interpretation of evidence in legal cases. Users are encouraged to apply the methods to their own or other data sets relevant to their fields of interest. The book will appeal both to lecturers giving undergraduate mainstream or service courses in statistics and to newly-practising statisticians or others concerned with data interpretation in any discipline who want to make the best use of modern statistical computer software.

Download or read book Getting started with Bootstrap 5 written by Andrés Cruz Yoris and published by Andres Cruz. This book was released on with total page 118 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book does not have a logical organization, presenting each of the components of Bootstrap, but rather a practical organization in which we see the main elements of Bootstrap as it becomes appropriate to present them. It is a quick guide in which it offers, based on small tips or notes, the operation of the main components of Bootstrap and the reader can have an entry point to learn more easily about this technology. To follow this book you need to have a computer with Windows, Linux or MacOS, have knowledge of how to develop style sheets in CSS, JavaScript and basic Node. This book is currently in development. Map This book has a total of 8 chapters, it is recommended that you read in the order in which they are arranged and as we explain the experiments carried out, go directly to practice, replicate, test and modify the codes that we show in this book. Chapter 1: In this chapter we will give some key concepts about the frameworks, advantages of using Bootstrap and what changes it brings with its predecessor, in addition, we will prepare the development environment. Chapter 2: In this chapter we present an introduction to containers in Bootstrap as a fundamental structure to organize our content correctly on a website and have it displayed correctly; additionally, we introduce other common features such as Bootstrap breakpoints present in other components. Chapter 3: In this chapter we will learn how to use Bootstrap's grid and column system. Chapter 4: In this chapter we will learn how to work with the main components in Bootstrap, which are the fundamental elements in this technology. Chapter 5: In this chapter we will learn how to use the help classes in Bootstrap, also known as utility classes with which we can establish colors, margins, among other formats, to the HTML content. Chapter 6: In this chapter we will learn how to generate our custom Bootstrap bundle using Sass. Chapter 7: In this chapter we will create some composite or custom components using Bootstrap components and its utility classes as a base. Chapter 8: In this chapter we will build a real website that is a kind of product sales website or online store with a very limited scope. We will also create a website in which we will make fetch queries to an API.

Download or read book Claims Reserving in General Insurance written by David Hindley and published by Cambridge University Press. This book was released on 2017-10-26 with total page 514 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a comprehensive and accessible reference source that documents the theoretical and practical aspects of all the key deterministic and stochastic reserving methods that have been developed for use in general insurance. Worked examples and mathematical details are included, along with many of the broader topics associated with reserving in practice. The key features of reserving in a range of different contexts in the UK and elsewhere are also covered. The book contains material that will appeal to anyone with an interest in claims reserving. It can be used as a learning resource for actuarial students who are studying the relevant parts of their professional bodies' examinations, as well as by others who are new to the subject. More experienced insurance and other professionals can use the book to refresh or expand their knowledge in any of the wide range of reserving topics covered in the book.

Download or read book The Oxford Handbook of Quantitative Methods Vol 2 Statistical Analysis written by Todd D. Little and published by Oxford University Press. This book was released on 2013-02-01 with total page 784 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research today demands the application of sophisticated and powerful research tools. Fulfilling this need, The Oxford Handbook of Quantitative Methods is the complete tool box to deliver the most valid and generalizable answers to todays complex research questions. It is a one-stop source for learning and reviewing current best-practices in quantitative methods as practiced in the social, behavioral, and educational sciences. Comprising two volumes, this handbook covers a wealth of topics related to quantitative research methods. It begins with essential philosophical and ethical issues related to science and quantitative research. It then addresses core measurement topics before delving into the design of studies. Principal issues related to modern estimation and mathematical modeling are also detailed. Topics in the handbook then segway into the realm of statistical inference and modeling with chapters dedicated to classical approaches as well as modern latent variable approaches. Numerous chapters associated with longitudinal data and more specialized techniques round out this broad selection of topics. Comprehensive, authoritative, and user-friendly, this two-volume set will be an indispensable resource for serious researchers across the social, behavioral, and educational sciences.

Download or read book Computational Statistics written by Geof H. Givens and published by John Wiley & Sons. This book was released on 2012-10-09 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new edition continues to serve as a comprehensive guide to modern and classical methods of statistical computing. The book is comprised of four main parts spanning the field: Optimization Integration and Simulation Bootstrapping Density Estimation and Smoothing Within these sections,each chapter includes a comprehensive introduction and step-by-step implementation summaries to accompany the explanations of key methods. The new edition includes updated coverage and existing topics as well as new topics such as adaptive MCMC and bootstrapping for correlated data. The book website now includes comprehensive R code for the entire book. There are extensive exercises, real examples, and helpful insights about how to use the methods in practice.

Download or read book Understanding and Applying Basic Statistical Methods Using R written by Rand R. Wilcox and published by John Wiley & Sons. This book was released on 2016-06-07 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: Features a straightforward and concise resource for introductory statistical concepts, methods, and techniques using R Understanding and Applying Basic Statistical Methods Using R uniquely bridges the gap between advances in the statistical literature and methods routinely used by non-statisticians. Providing a conceptual basis for understanding the relative merits and applications of these methods, the book features modern insights and advances relevant to basic techniques in terms of dealing with non-normality, outliers, heteroscedasticity (unequal variances), and curvature. Featuring a guide to R, the book uses R programming to explore introductory statistical concepts and standard methods for dealing with known problems associated with classic techniques. Thoroughly class-room tested, the book includes sections that focus on either R programming or computational details to help the reader become acquainted with basic concepts and principles essential in terms of understanding and applying the many methods currently available. Covering relevant material from a wide range of disciplines, Understanding and Applying Basic Statistical Methods Using R also includes: Numerous illustrations and exercises that use data to demonstrate the practical importance of multiple perspectives Discussions on common mistakes such as eliminating outliers and applying standard methods based on means using the remaining data Detailed coverage on R programming with descriptions on how to apply both classic and more modern methods using R A companion website with the data and solutions to all of the exercises Understanding and Applying Basic Statistical Methods Using R is an ideal textbook for an undergraduate and graduate-level statistics courses in the science and/or social science departments. The book can also serve as a reference for professional statisticians and other practitioners looking to better understand modern statistical methods as well as R programming. Rand R. Wilcox, PhD, is Professor in the Department of Psychology at the University of Southern California, Fellow of the Association for Psychological Science, and an associate editor for four statistics journals. He is also a member of the International Statistical Institute. The author of more than 320 articles published in a variety of statistical journals, he is also the author eleven other books on statistics. Dr. Wilcox is creator of WRS (Wilcox’ Robust Statistics), which is an R package for performing robust statistical methods. His main research interest includes statistical methods, particularly robust methods for comparing groups and studying associations.

Download or read book Handbook of Statistical Analyses Using Stata Fourth Edition written by Brian S. Everitt and published by CRC Press. This book was released on 2006-11-15 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: With each new release of Stata, a comprehensive resource is needed to highlight the improvements as well as discuss the fundamentals of the software. Fulfilling this need, A Handbook of Statistical Analyses Using Stata, Fourth Edition has been fully updated to provide an introduction to Stata version 9. This edition covers many new features of Stata, including a new command for mixed models and a new matrix language. Each chapter describes the analysis appropriate for a particular application, focusing on the medical, social, and behavioral fields. The authors begin each chapter with descriptions of the data and the statistical techniques to be used. The methods covered include descriptives, simple tests, variance analysis, multiple linear regression, logistic regression, generalized linear models, survival analysis, random effects models, and cluster analysis. The core of the book centers on how to use Stata to perform analyses and how to interpret the results. The chapters conclude with several exercises based on data sets from different disciplines. A concise guide to the latest version of Stata, A Handbook of Statistical Analyses Using Stata, Fourth Edition illustrates the benefits of using Stata to perform various statistical analyses for both data analysis courses and self-study.

Download or read book Racial and Ethnic Residential Segregation Across the United States written by Amber R. Crowell and published by Springer Nature. This book was released on 2023-08-31 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book provides new findings on and insights into trends and patterns in residential segregation between racial and ethnic groups in the United States. It draws on new methods that make it possible to investigate segregation involving small groups and segregation patterns in nonmetropolitan communities with greater accuracy and clarity than has previously been possible. As one example, the authors are able to track residential segregation patterns across a wide selection of nonmetropolitan communities where Black, Latino, and Asian populations are small but can still potentially experience segregation. The authors also track White-Latino segregation from its inception when Latino households first arrived in non-negligible numbers in new destination communities and then document how segregation changes over time as the Latino population grows over time to become larger and more established. Finally, this work shows how segregation of Latino and Asian households is fundamentally different from that of Black households based on the much greater role that cultural and socioeconomic characteristics play in shaping White-Latino and White-Asian segregation in comparison to White-Black segregation.

Download or read book Statistical Intervals written by William Q. Meeker and published by John Wiley & Sons. This book was released on 2017-03-09 with total page 648 pages. Available in PDF, EPUB and Kindle. Book excerpt: Describes statistical intervals to quantify sampling uncertainty,focusing on key application needs and recently developed methodology in an easy-to-apply format Statistical intervals provide invaluable tools for quantifying sampling uncertainty. The widely hailed first edition, published in 1991, described the use and construction of the most important statistical intervals. Particular emphasis was given to intervals—such as prediction intervals, tolerance intervals and confidence intervals on distribution quantiles—frequently needed in practice, but often neglected in introductory courses. Vastly improved computer capabilities over the past 25 years have resulted in an explosion of the tools readily available to analysts. This second edition—more than double the size of the first—adds these new methods in an easy-to-apply format. In addition to extensive updating of the original chapters, the second edition includes new chapters on: Likelihood-based statistical intervals Nonparametric bootstrap intervals Parametric bootstrap and other simulation-based intervals An introduction to Bayesian intervals Bayesian intervals for the popular binomial, Poisson and normal distributions Statistical intervals for Bayesian hierarchical models Advanced case studies, further illustrating the use of the newly described methods New technical appendices provide justification of the methods and pathways to extensions and further applications. A webpage directs readers to current readily accessible computer software and other useful information. Statistical Intervals: A Guide for Practitioners and Researchers, Second Edition is an up-to-date working guide and reference for all who analyze data, allowing them to quantify the uncertainty in their results using statistical intervals.

Download or read book Microeconometrics written by A. Colin Cameron and published by Cambridge University Press. This book was released on 2005-05-09 with total page 1058 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides the most comprehensive treatment to date of microeconometrics, the analysis of individual-level data on the economic behavior of individuals or firms using regression methods for cross section and panel data. The book is oriented to the practitioner. A basic understanding of the linear regression model with matrix algebra is assumed. The text can be used for a microeconometrics course, typically a second-year economics PhD course; for data-oriented applied microeconometrics field courses; and as a reference work for graduate students and applied researchers who wish to fill in gaps in their toolkit. Distinguishing features of the book include emphasis on nonlinear models and robust inference, simulation-based estimation, and problems of complex survey data. The book makes frequent use of numerical examples based on generated data to illustrate the key models and methods. More substantially, it systematically integrates into the text empirical illustrations based on seven large and exceptionally rich data sets.

Download or read book Hands on Intermediate Econometrics Using R Templates For Learning Quantitative Methods And R Software Second Edition written by Hrishikesh D Vinod and published by World Scientific. This book was released on 2022-04-08 with total page 645 pages. Available in PDF, EPUB and Kindle. Book excerpt: How to learn both applied statistics (econometrics) and free, open-source software R? This book allows students to have a sense of accomplishment by copying and pasting many hands-on templates provided here.The textbook is essential for anyone wishing to have a practical understanding of an extensive range of topics in Econometrics. No other text provides software snippets to learn so many new statistical tools with hands-on examples. The explicit knowledge of inputs and outputs of each new method allows the student to know which algorithm is worth studying. The book offers sufficient theoretical and algorithmic details about a vast range of statistical techniques.The second edition's preface lists the following topics generally absent in other textbooks. (i) Iteratively reweighted least squares, (ii) Pillar charts to represent 3D data. (iii) Stochastic frontier analysis (SFA) (iv) model selection with Mallows' Cp criterion. (v) Hodrick-Prescott (HP) filter. (vi) Automatic ARIMA models. (vi) Nonlinear Granger-causality using kernel regressions and bootstrap confidence intervals. (vii) new Keynesian Phillips curve (NKPC). (viii) Market-neutral pairs trading using two cointegrated stocks. (ix) Artificial neural network (ANN) for product-specific forecasting. (x) Vector AR and VARMA models. (xi) New tools for diagnosing the endogeneity problem. (xii) The elegant set-up of k-class estimators and identification. (xiii) Probit-logit models and Heckman selection bias correction. (xiv) Receiver operating characteristic (ROC) curves and areas under them. (xv) Confusion matrix. (xvi) Quantile regression (xvii) Elastic net estimator. (xviii) generalized Correlations (xix) maximum entropy bootstrap for time series. (xx) Convergence concepts quantified. (xxi) Generalized partial correlation coefficients (xxii) Panel data and duration (survival) models.

Download or read book Applied Nonparametric Statistical Methods written by Peter Sprent and published by CRC Press. This book was released on 2016-04-19 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt: While preserving the clear, accessible style of previous editions, Applied Nonparametric Statistical Methods, Fourth Edition reflects the latest developments in computer-intensive methods that deal with intractable analytical problems and unwieldy data sets. Reorganized and with additional material, this edition begins with a brief summary of some