Statistical Thinking From Scratch

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Statistical Thinking from Scratch

Author : M. D. Edge
Publisher : Oxford University Press
Page : 320 pages
File Size : 42,9 Mb
Release : 2019-06-07
Category : Science
ISBN : 9780192562708

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Statistical Thinking from Scratch by M. D. Edge Pdf

Researchers across the natural and social sciences find themselves navigating tremendous amounts of new data. Making sense of this flood of information requires more than the rote application of formulaic statistical methods. The premise of Statistical Thinking from Scratch is that students who want to become confident data analysts are better served by a deep introduction to a single statistical method than by a cursory overview of many methods. In particular, this book focuses on simple linear regression-a method with close connections to the most important tools in applied statistics-using it as a detailed case study for teaching resampling-based, likelihood-based, and Bayesian approaches to statistical inference. Considering simple linear regression in depth imparts an idea of how statistical procedures are designed, a flavour for the philosophical positions one assumes when applying statistics, and tools to probe the strengths of one's statistical approach. Key to the book's novel approach is its mathematical level, which is gentler than most texts for statisticians but more rigorous than most introductory texts for non-statisticians. Statistical Thinking from Scratch is suitable for senior undergraduate and beginning graduate students, professional researchers, and practitioners seeking to improve their understanding of statistical methods across the natural and social sciences, medicine, psychology, public health, business, and other fields.

Statistical Thinking

Author : Roger W. Hoerl,Ronald D. Snee
Publisher : John Wiley & Sons
Page : 544 pages
File Size : 52,8 Mb
Release : 2012-04-09
Category : Business & Economics
ISBN : 9781118236857

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Statistical Thinking by Roger W. Hoerl,Ronald D. Snee Pdf

How statistical thinking and methodology can help you make crucial business decisions Straightforward and insightful, Statistical Thinking: Improving Business Performance, Second Edition, prepares you for business leadership by developing your capacity to apply statistical thinking to improve business processes. Unique and compelling, this book shows you how to derive actionable conclusions from data analysis, solve real problems, and improve real processes. Here, you'll discover how to implement statistical thinking and methodology in your work to improve business performance. Explores why statistical thinking is necessary and helpful Provides case studies that illustrate how to integrate several statistical tools into the decision-making process Facilitates and encourages an experiential learning environment to enable you to apply material to actual problems With an in-depth discussion of JMP® software, the new edition of this important book focuses on skills to improve business processes, including collecting data appropriate for a specified purpose, recognizing limitations in existing data, and understanding the limitations of statistical analyses.

Regression Modeling Strategies

Author : Frank E. Harrell
Publisher : Springer Science & Business Media
Page : 583 pages
File Size : 42,7 Mb
Release : 2013-03-09
Category : Mathematics
ISBN : 9781475734621

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Regression Modeling Strategies by Frank E. Harrell Pdf

Many texts are excellent sources of knowledge about individual statistical tools, but the art of data analysis is about choosing and using multiple tools. Instead of presenting isolated techniques, this text emphasizes problem solving strategies that address the many issues arising when developing multivariable models using real data and not standard textbook examples. It includes imputation methods for dealing with missing data effectively, methods for dealing with nonlinear relationships and for making the estimation of transformations a formal part of the modeling process, methods for dealing with "too many variables to analyze and not enough observations," and powerful model validation techniques based on the bootstrap. This text realistically deals with model uncertainty and its effects on inference to achieve "safe data mining".

Introduction to Statistical Thinking

Author : Benjamin Yakir
Publisher : Unknown
Page : 324 pages
File Size : 44,8 Mb
Release : 2014-09-19
Category : Electronic
ISBN : 1502424665

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Introduction to Statistical Thinking by Benjamin Yakir Pdf

Introduction to Statistical ThinkingBy Benjamin Yakir

Statistical Rethinking

Author : Richard McElreath
Publisher : CRC Press
Page : 489 pages
File Size : 46,5 Mb
Release : 2018-01-03
Category : Mathematics
ISBN : 9781482253481

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Statistical Rethinking by Richard McElreath Pdf

Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds readers’ knowledge of and confidence in statistical modeling. Reflecting the need for even minor programming in today’s model-based statistics, the book pushes readers to perform step-by-step calculations that are usually automated. This unique computational approach ensures that readers understand enough of the details to make reasonable choices and interpretations in their own modeling work. The text presents generalized linear multilevel models from a Bayesian perspective, relying on a simple logical interpretation of Bayesian probability and maximum entropy. It covers from the basics of regression to multilevel models. The author also discusses measurement error, missing data, and Gaussian process models for spatial and network autocorrelation. By using complete R code examples throughout, this book provides a practical foundation for performing statistical inference. Designed for both PhD students and seasoned professionals in the natural and social sciences, it prepares them for more advanced or specialized statistical modeling. Web Resource The book is accompanied by an R package (rethinking) that is available on the author’s website and GitHub. The two core functions (map and map2stan) of this package allow a variety of statistical models to be constructed from standard model formulas.

Statistical Thinking in Sports

Author : Jim Albert,Ruud H. Koning
Publisher : CRC Press
Page : 298 pages
File Size : 52,6 Mb
Release : 2007-07-12
Category : Mathematics
ISBN : 1584888695

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Statistical Thinking in Sports by Jim Albert,Ruud H. Koning Pdf

Since the first athletic events found a fan base, sports and statistics have always maintained a tight and at times mythical relationship. As a way to relay the telling of a game's drama and attest to the prodigious powers of the heroes involved, those reporting on the games tallied up the numbers that they believe best described the action and best defined the winning edge. However, they may not have always counted the right numbers. Many of our hallowed beliefs about sports statistics have long been fraught with misnomers. Whether it concerns Scottish football or American baseball, the most revered statistics often have little to do with any winning edge. Covering an international collection of sports, Statistical Thinking in Sports provides an accessible survey of current research in statistics and sports, written by experts from a variety of arenas. Rather than rely on casual observation, they apply the rigorous tools of statistics to re-examine many of those concepts that have gone from belief to fact, based mostly on the repetition of their claims. Leaving assumption behind, these researchers take on a host of tough questions- Is a tennis player only as good as his or her first serve? Is there such a thing as home field advantage? Do concerns over a decline in soccer's competitive balance have any merit? What of momentum-is its staying power any greater than yesterday's win? And what of pressure performers? Are there such creatures or ultimately, does every performer fall back to his or her established normative? Investigating a wide range of international team and individual sports, the book considers the ability to make predictions, define trends, and measure any number of influences. It is full of interesting and useful examples for those teaching introductory statistics. Although the articles are aimed at general readers, the serious researcher in sports statistics will also find the articles of value and highly useful as starting points for further research.

The Rise of Statistical Thinking, 1820–1900

Author : Theodore M. Porter
Publisher : Princeton University Press
Page : 360 pages
File Size : 48,6 Mb
Release : 2020-08-18
Category : Science
ISBN : 9780691210520

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The Rise of Statistical Thinking, 1820–1900 by Theodore M. Porter Pdf

An essential work on the origins of statistics The Rise of Statistical Thinking, 1820–1900 explores the history of statistics from the field's origins in the nineteenth century through to the factors that produced the burst of modern statistical innovation in the early twentieth century. Theodore Porter shows that statistics was not developed by mathematicians and then applied to the sciences and social sciences. Rather, the field came into being through the efforts of social scientists, who saw a need for statistical tools in their examination of society. Pioneering statistical physicists and biologists James Clerk Maxwell, Ludwig Boltzmann, and Francis Galton introduced statistical models to the sciences by pointing to analogies between their disciplines and the social sciences. A new preface by the author looks at how the book has remained relevant since its initial publication, and considers the current place of statistics in scientific research.

Statistical Thinking in Epidemiology

Author : Yu-Kang Tu,Mark Gilthorpe
Publisher : CRC Press
Page : 231 pages
File Size : 48,5 Mb
Release : 2016-04-19
Category : Mathematics
ISBN : 9781420099928

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Statistical Thinking in Epidemiology by Yu-Kang Tu,Mark Gilthorpe Pdf

While biomedical researchers may be able to follow instructions in the manuals accompanying the statistical software packages, they do not always have sufficient knowledge to choose the appropriate statistical methods and correctly interpret their results. Statistical Thinking in Epidemiology examines common methodological and statistical problems

Flaws and Fallacies in Statistical Thinking

Author : Stephen K. Campbell
Publisher : Courier Corporation
Page : 210 pages
File Size : 44,9 Mb
Release : 2012-05-14
Category : Mathematics
ISBN : 9780486140513

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Flaws and Fallacies in Statistical Thinking by Stephen K. Campbell Pdf

Nontechnical survey helps improve ability to judge statistical evidence and to make better-informed decisions. Discusses common pitfalls: unrealistic estimates, improper comparisons, premature conclusions, and faulty thinking about probability. 1974 edition.

Reading Between the Numbers

Author : Joseph Tal
Publisher : McGraw-Hill Companies
Page : 308 pages
File Size : 55,7 Mb
Release : 2001
Category : Business & Economics
ISBN : UCSC:32106012552292

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Reading Between the Numbers by Joseph Tal Pdf

In this book the Jsopeh Tal, "brings statistics down to earth for the general reader. Focusing on the psychology behind statistics, he shows how it applies in our everyday lives. He demonstrates how even mundane decisions, such as what to make for dinner or whether to take an umbrella, involve basic statistical reasoning. Tal issues dozens of fascinating examples from social and natural sciences, sports, business and a whole host of other disciplines. With them he demystifies means, medians, modes and sampling, estimation, hypothesis testing and many more tools-of-the-trade." - back cover.

Statistical Thinking

Author : Roger W. Hoerl,Ronald D. Snee
Publisher : John Wiley & Sons
Page : 640 pages
File Size : 45,7 Mb
Release : 2020-09-16
Category : Business & Economics
ISBN : 9781119605713

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Statistical Thinking by Roger W. Hoerl,Ronald D. Snee Pdf

Apply statistics in business to achieve performance improvement Statistical Thinking: Improving Business Performance, 3rd Edition helps managers understand the role of statistics in implementing business improvements. It guides professionals who are learning statistics in order to improve performance in business and industry. It also helps graduate and undergraduate students understand the strategic value of data and statistics in arriving at real business solutions. Instruction in the book is based on principles of effective learning, established by educational and behavioral research. The authors cover both practical examples and underlying theory, both the big picture and necessary details. Readers gain a conceptual understanding and the ability to perform actionable analyses. They are introduced to data skills to improve business processes, including collecting the appropriate data, identifying existing data limitations, and analyzing data graphically. The authors also provide an in-depth look at JMP software, including its purpose, capabilities, and techniques for use. Updates to this edition include: A new chapter on data, assessing data pedigree (quality), and acquisition tools Discussion of the relationship between statistical thinking and data science Explanation of the proper role and interpretation of p-values (understanding of the dangers of “p-hacking”) Differentiation between practical and statistical significance Introduction of the emerging discipline of statistical engineering Explanation of the proper role of subject matter theory in order to identify causal relationships A holistic framework for variation that includes outliers, in addition to systematic and random variation Revised chapters based on significant teaching experience Content enhancements based on student input This book helps readers understand the role of statistics in business before they embark on learning statistical techniques.

Statistical Thinking: a Simulation Approach to Modeling Uncertainty

Author : Andrew Zieffler
Publisher : Unknown
Page : 176 pages
File Size : 48,7 Mb
Release : 2012-08-29
Category : Mathematical statistics
ISBN : 0615691307

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Statistical Thinking: a Simulation Approach to Modeling Uncertainty by Andrew Zieffler Pdf

Learning statistics is sexy.Almost every person on earth will benefit from learning some foundational ideas of statistics. This is true because statistics forms the basis of our everyday world just as much as do science, technology, and politics. Google, Netflix, Twitter, Facebook, OKCupid, Match.com, Amazon, iTunes, and the Federal Government are just a handful of the companies and organizations that use statistics on a daily basis. Journalism, political science, biology, sociology, psychology, graphic design, economics, sports science, and dance are all disciplines that have made use of statistical methodology.The materials in this book will introduce you to the seminal ideas underlying the discipline of statistics. In addition, they have been designed with your learning in mind. As you engage in and use the skills, concepts and ideas introduced in the material, you will find yourself thinking about data and evidence in a different way.

Statistical Thinking in Clinical Trials

Author : Michael A. Proschan
Publisher : CRC Press
Page : 276 pages
File Size : 48,6 Mb
Release : 2021-11-24
Category : Mathematics
ISBN : 9781351673105

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Statistical Thinking in Clinical Trials by Michael A. Proschan Pdf

Statistical Thinking in Clinical Trials combines a relatively small number of key statistical principles and several instructive clinical trials to gently guide the reader through the statistical thinking needed in clinical trials. Randomization is the cornerstone of clinical trials and randomization-based inference is the cornerstone of this book. Read this book to learn the elegance and simplicity of re-randomization tests as the basis for statistical inference (the analyze as you randomize principle) and see how re-randomization tests can save a trial that required an unplanned, mid-course design change. Other principles enable the reader to quickly and confidently check calculations without relying on computer programs. The `EZ’ principle says that a single sample size formula can be applied to a multitude of statistical tests. The `O minus E except after V’ principle provides a simple estimator of the log odds ratio that is ideally suited for stratified analysis with a binary outcome. The same principle can be used to estimate the log hazard ratio and facilitate stratified analysis in a survival setting. Learn these and other simple techniques that will make you an invaluable clinical trial statistician.

Statistical Thinking in Business

Author : J. A. John,D. Whitaker
Publisher : CRC Press
Page : 408 pages
File Size : 50,6 Mb
Release : 2005-08-29
Category : Business & Economics
ISBN : 9781420057164

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Statistical Thinking in Business by J. A. John,D. Whitaker Pdf

Business students need the ability to think statistically about how to deal with uncertainty and its effect on decision-making in business and management. Traditional statistics courses and textbooks tend to focus on probability, mathematical detail, and heavy computation, and thus fail to meet the needs of future managers. Statistical Thinking in

Statistical Thinking

Author : John L. Phillips
Publisher : Unknown
Page : 262 pages
File Size : 49,6 Mb
Release : 1971
Category : Statistics
ISBN : OCLC:42982623

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Statistical Thinking by John L. Phillips Pdf