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Statistics Done Wrong
Author: Alex Reinhart
Publisher: No Starch Press
ISBN: 1593276206
Pages: 152
Year: 2015
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Statistics Done Wrong describes how researchers often go wrong and teaches you the best practices for avoiding their mistakes.
Regression Basics
Author: Leo H. Kahane
Publisher: SAGE Publications
ISBN: 1483317102
Pages: 240
Year: 2007-11-28
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Using a friendly, nontechnical approach, the Second Edition of Regression Basics introduces readers to the fundamentals of regression. Accessible to anyone with an introductory statistics background, this book builds from a simple two-variable model to a model of greater complexity. Author Leo H. Kahane weaves four engaging examples throughout the text to illustrate not only the techniques of regression but also how this empirical tool can be applied in creative ways to consider a broad array of topics. New to the Second Edition • Offers greater coverage of simple panel-data estimation: Because the availability of panel data has increased over the past decade, this new edition includes coverage of estimation with multiple cross-sections of data across time. • Provides an introductory discussion of omitted variables bias: As a problem that frequently arises, this issue is important for those new to regression analysis to understand. • Includes up-to-date advances: Chapter 7 is expanded to include recent developments in regression. • Uses a diverse selection of examples: Engaging examples illustrate the wide application of regression analysis from baseball salaries to presidential voting to British crime rates to U.S. abortion rates and more. • Includes more end-of-chapter problems: This edition offers new questions at the end of chapters that are based on the new examples woven through the book. • Illustrates examples using software programs: Appendix B now includes screenshots to further aid readers working with Microsoft Excel® and SPSS. Intended Audience This is an ideal core or supplemental text for advanced undergraduate and graduate courses such as Regression and Correlation, Sociological Research Methods, Quantitative Research Methods, and Statistical Methods in the fields of economics, public policy, political science, sociology, public affairs, urban planning, education, and geography.
Analysis of Observational Health Care Data Using SAS
Author: Douglas E. Faries, Robert Obenchain, Josep Maria Haro, Andrew C. Leon
Publisher: SAS Institute
ISBN: 160764424X
Pages: 452
Year: 2014-11-07
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This book guides researchers in performing and presenting high-quality analyses of all kinds of non-randomized studies, including analyses of observational studies, claims database analyses, assessment of registry data, survey data, pharmaco-economic data, and many more applications. The text is sufficiently detailed to provide not only general guidance, but to help the researcher through all of the standard issues that arise in such analyses. Just enough theory is included to allow the reader to understand the pros and cons of alternative approaches and when to use each method. The numerous contributors to this book illustrate, via real-world numerical examples and SAS code, appropriate implementations of alternative methods. The end result is that researchers will learn how to present high-quality and transparent analyses that will lead to fair and objective decisions from observational data. This book is part of the SAS Press program.
Cartoon Guide to Statistics
Author: Larry Gonick
Publisher: Harper Collins
ISBN: 0062731025
Pages: 240
Year: 1993-07-14
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If you have ever looked for P-values by shopping at P mart, tried to watch the Bernoulli Trails on "People's Court," or think that the standard deviation is a criminal offense in six states, then you need The Cartoon Guide to Statistics to put you on the road to statistical literacy. The Cartoon Guide to Statistics covers all the central ideas of modern statistics: the summary and display of data, probability in gambling and medicine, random variables, Bernoulli Trails, the Central Limit Theorem, hypothesis testing, confidence interval estimation, and much more—all explained in simple, clear, and yes, funny illustrations. Never again will you order the Poisson Distribution in a French restaurant!
Napoleon: A Concise Biography
Author: David A. Bell
Publisher: Oxford University Press
ISBN: 0190262737
Pages: 136
Year: 2015-11-05
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This book provides a concise, accurate, and lively portrait of Napoleon Bonaparte's character and career, situating him firmly in historical context. David Bell emphasizes the astonishing sense of human possibility--for both good and ill--that Napoleon represented. By his late twenties, Napoleon was already one of the greatest generals in European history. At thirty, he had become absolute master of Europe's most powerful country. In his early forties, he ruled a European empire more powerful than any since Rome, fighting wars that changed the shape of the continent and brought death to millions. Then everything collapsed, leading him to spend his last years in miserable exile in the South Atlantic. Bell emphasizes the importance of the French Revolution in understanding Napoleon's career. The revolution made possible the unprecedented concentration of political authority that Napoleon accrued, and his success in mobilizing human and material resources. Without the political changes brought about by the revolution, Napoleon could not have fought his wars. Without the wars, he could not have seized and held onto power. Though his virtual dictatorship betrayed the ideals of liberty and equality, his life and career were revolutionary.
Intuitive Biostatistics
Author: Harvey Motulsky
Publisher: Oxford University Press, USA
ISBN: 0199946647
Pages: 540
Year: 2013-12-01
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Thoroughly revised and updated, the third edition of Intuitive Biostatistics: A Nonmathematical Guide to Statistical Thinking retains and refines the core perspectives of the previous editions: a focus on how to interpret statistical results rather than on how to analyze data, minimal use of equations, and a detailed review of assumptions and common mistakes. With its engaging and conversational tone, this unique book provides a clear introduction to statistics for undergraduate and graduate students in a wide range of fields and also serves as a statistics refresher for working scientists. It is especially useful for those students in health-science related fields who have no background in biostatistics. NEW TO THIS EDITION * A new chapter on the complexities of probability * A new chapter on meta-analysis * A completely rewritten chapter on statistical traps to avoid * More sections on common mistakes in data analysis * More Q&A sections * New topics and examples * New learning tools (each chapter ends with a summary and a list of statistical terms)
Refactoring
Author: Martin Fowler, Kent Beck, John Brant, William Opdyke, Don Roberts
Publisher: Addison-Wesley
ISBN: 013306526X
Pages: 455
Year: 2012-03-09
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As the application of object technology--particularly the Java programming language--has become commonplace, a new problem has emerged to confront the software development community. Significant numbers of poorly designed programs have been created by less-experienced developers, resulting in applications that are inefficient and hard to maintain and extend. Increasingly, software system professionals are discovering just how difficult it is to work with these inherited, "non-optimal" applications. For several years, expert-level object programmers have employed a growing collection of techniques to improve the structural integrity and performance of such existing software programs. Referred to as "refactoring," these practices have remained in the domain of experts because no attempt has been made to transcribe the lore into a form that all developers could use. . .until now. In Refactoring: Improving the Design of Existing Code, renowned object technology mentor Martin Fowler breaks new ground, demystifying these master practices and demonstrating how software practitioners can realize the significant benefits of this new process. With proper training a skilled system designer can take a bad design and rework it into well-designed, robust code. In this book, Martin Fowler shows you where opportunities for refactoring typically can be found, and how to go about reworking a bad design into a good one. Each refactoring step is simple--seemingly too simple to be worth doing. Refactoring may involve moving a field from one class to another, or pulling some code out of a method to turn it into its own method, or even pushing some code up or down a hierarchy. While these individual steps may seem elementary, the cumulative effect of such small changes can radically improve the design. Refactoring is a proven way to prevent software decay. In addition to discussing the various techniques of refactoring, the author provides a detailed catalog of more than seventy proven refactorings with helpful pointers that teach you when to apply them; step-by-step instructions for applying each refactoring; and an example illustrating how the refactoring works. The illustrative examples are written in Java, but the ideas are applicable to any object-oriented programming language.
High Performance MySQL
Author: Baron Schwartz, Peter Zaitsev, Vadim Tkachenko
Publisher: "O'Reilly Media, Inc."
ISBN: 1449332501
Pages: 826
Year: 2012-03-05
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How can you bring out MySQL’s full power? With High Performance MySQL, you’ll learn advanced techniques for everything from designing schemas, indexes, and queries to tuning your MySQL server, operating system, and hardware to their fullest potential. This guide also teaches you safe and practical ways to scale applications through replication, load balancing, high availability, and failover. Updated to reflect recent advances in MySQL and InnoDB performance, features, and tools, this third edition not only offers specific examples of how MySQL works, it also teaches you why this system works as it does, with illustrative stories and case studies that demonstrate MySQL’s principles in action. With this book, you’ll learn how to think in MySQL. Learn the effects of new features in MySQL 5.5, including stored procedures, partitioned databases, triggers, and views Implement improvements in replication, high availability, and clustering Achieve high performance when running MySQL in the cloud Optimize advanced querying features, such as full-text searches Take advantage of modern multi-core CPUs and solid-state disks Explore backup and recovery strategies—including new tools for hot online backups
Web Designer's Guide to WordPress
Author: Jesse Friedman
Publisher: New Riders
ISBN: 0133016773
Pages: 288
Year: 2012-08-06
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Legions of web designers and developers are choosing WordPress for building sites. That's because it's powerful, reliable, flexible, scalable—and more. This book is your complete guide to mastering WordPress theme development, covering everything from installation to leveraging the community and resources to improve your WordPress skills for years to come. You'll learn how to: Install WordPress and work on a development server Create site plans and content architecture Develop basic through advanced WordPress themes Maintain responsive design integrity Implement the right plugins Convert an already-built website to a WordPress-powered theme Get involved with the WordPress community With detailed explanations, real-life examples, and step-by-step tutorials, you'll find everything you need to build and deploy WordPress-powered websites with no prior server-side or WordPress development experience.
Narrative of the Life of Frederick Douglass, an American Slave
Author: Frederick Douglass
Publisher: Big Nest via PublishDrive
ISBN: 1910833819
Pages: 106
Year: 2015-09-15
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One of the most influential pieces of literature to fuel the abolitionist movement of the early 19th century in the United States, Narrative of the Life of Frederick Douglass is a memoir and treatise on abolition written by famous orator and former slave Frederick Douglass. In factual detail, the text describes the events of his life.
Webbots, Spiders, and Screen Scrapers, 2nd Edition
Author: Michael Schrenk
Publisher: No Starch Press
ISBN: 1593274327
Pages: 392
Year: 2012-03-01
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There's a wealth of data online, but sorting and gathering it by hand can be tedious and time consuming. Rather than click through page after endless page, why not let bots do the work for you? Webbots, Spiders, and Screen Scrapers will show you how to create simple programs with PHP/CURL to mine, parse, and archive online data to help you make informed decisions. Michael Schrenk, a highly regarded webbot developer, teaches you how to develop fault-tolerant designs, how best to launch and schedule the work of your bots, and how to create Internet agents that: –Send email or SMS notifications to alert you to new information quickly –Search different data sources and combine the results on one page, making the data easier to interpret and analyze –Automate purchases, auction bids, and other online activities to save time Sample projects for automating tasks like price monitoring and news aggregation will show you how to put the concepts you learn into practice. This second edition of Webbots, Spiders, and Screen Scrapers includes tricks for dealing with sites that are resistant to crawling and scraping, writing stealthy webbots that mimic human search behavior, and using regular expressions to harvest specific data. As you discover the possibilities of web scraping, you'll see how webbots can save you precious time and give you much greater control over the data available on the Web.
Walking the Equity Talk
Author: John Robert Browne II
Publisher: Corwin Press
ISBN: 141299781X
Pages: 385
Year: 2012-06-21
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For educational leaders serious about ending student outcome disparities, Culturally Courageous Leadership can empower all school stakeholders to ensure that equity initiatives are successful.
Relieving Pain in America:
Author: Committee on Advancing Pain Research, Care, and Education, Board on Health Sciences Policy, Institute of Medicine
Publisher: National Academies Press
ISBN: 030921484X
Pages: 382
Year: 2011-10-26
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Chronic pain costs the nation up to $635 billion each year in medical treatment and lost productivity. The 2010 Patient Protection and Affordable Care Act required the Department of Health and Human Services (HHS) to enlist the Institute of Medicine (IOM) in examining pain as a public health problem. In this report, the IOM offers a blueprint for action in transforming prevention, care, education, and research, with the goal of providing relief for people with pain in America. To reach the vast multitude of people with various types of pain, the nation must adopt a population-level prevention and management strategy. The IOM recommends that HHS develop a comprehensive plan with specific goals, actions, and timeframes. Better data are needed to help shape efforts, especially on the groups of people currently underdiagnosed and undertreated, and the IOM encourages federal and state agencies and private organizations to accelerate the collection of data on pain incidence, prevalence, and treatments. Because pain varies from patient to patient, healthcare providers should increasingly aim at tailoring pain care to each person's experience, and self-management of pain should be promoted. In addition, because there are major gaps in knowledge about pain across health care and society alike, the IOM recommends that federal agencies and other stakeholders redesign education programs to bridge these gaps. Pain is a major driver for visits to physicians, a major reason for taking medications, a major cause of disability, and a key factor in quality of life and productivity. Given the burden of pain in human lives, dollars, and social consequences, relieving pain should be a national priority.
Scaling MongoDB
Author: Kristina Chodorow
Publisher: "O'Reilly Media, Inc."
ISBN: 1449303870
Pages: 66
Year: 2011-01-31
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Create a MongoDB cluster that will grow to meet the needs of your application. With this short and concise book, you'll get guidelines for setting up and using clusters to store a large volume of data, and learn how to access the data efficiently. In the process, you'll understand how to make your application work with a distributed database system. Scaling MongoDB will help you: Set up a MongoDB cluster through sharding Work with a cluster to query and update data Operate, monitor, and backup your cluster Plan your application to deal with outages By following the advice in this book, you'll be well on your way to building and running an efficient, predictable distributed system using MongoDB.
Frontiers in Massive Data Analysis
Author: National Research Council, Division on Engineering and Physical Sciences, Board on Mathematical Sciences and Their Applications, Committee on Applied and Theoretical Statistics, Committee on the Analysis of Massive Data
Publisher: National Academies Press
ISBN: 0309287812
Pages: 190
Year: 2013-09-03
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Data mining of massive data sets is transforming the way we think about crisis response, marketing, entertainment, cybersecurity and national intelligence. Collections of documents, images, videos, and networks are being thought of not merely as bit strings to be stored, indexed, and retrieved, but as potential sources of discovery and knowledge, requiring sophisticated analysis techniques that go far beyond classical indexing and keyword counting, aiming to find relational and semantic interpretations of the phenomena underlying the data. Frontiers in Massive Data Analysis examines the frontier of analyzing massive amounts of data, whether in a static database or streaming through a system. Data at that scale--terabytes and petabytes--is increasingly common in science (e.g., particle physics, remote sensing, genomics), Internet commerce, business analytics, national security, communications, and elsewhere. The tools that work to infer knowledge from data at smaller scales do not necessarily work, or work well, at such massive scale. New tools, skills, and approaches are necessary, and this report identifies many of them, plus promising research directions to explore. Frontiers in Massive Data Analysis discusses pitfalls in trying to infer knowledge from massive data, and it characterizes seven major classes of computation that are common in the analysis of massive data. Overall, this report illustrates the cross-disciplinary knowledge--from computer science, statistics, machine learning, and application disciplines--that must be brought to bear to make useful inferences from massive data.