Statistical Thinking From Scratch
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Author | : M. D. Edge |
Publisher | : Oxford University Press |
Total Pages | : 320 |
Release | : 2019-06-07 |
Genre | : Science |
ISBN | : 0192562703 |
Download Statistical Thinking from Scratch Book in PDF, Epub and Kindle
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.
Author | : M. D. Edge |
Publisher | : Oxford University Press, USA |
Total Pages | : 318 |
Release | : 2019-06-13 |
Genre | : |
ISBN | : 0198827628 |
Download Statistical Thinking from Scratch Book in PDF, Epub and Kindle
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.
Author | : M. D. Edge |
Publisher | : |
Total Pages | : 318 |
Release | : |
Genre | : Regression analysis |
ISBN | : 9780191866463 |
Download Statistical Thinking from Scratch Book in PDF, Epub and Kindle
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.
Author | : Frank E. Harrell |
Publisher | : Springer Science & Business Media |
Total Pages | : 583 |
Release | : 2013-03-09 |
Genre | : Mathematics |
ISBN | : 147573462X |
Download Regression Modeling Strategies Book in PDF, Epub and Kindle
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".
Author | : Roger W. Hoerl |
Publisher | : John Wiley & Sons |
Total Pages | : 544 |
Release | : 2012-04-09 |
Genre | : Business & Economics |
ISBN | : 1118236858 |
Download Statistical Thinking Book in PDF, Epub and Kindle
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.
Author | : Benjamin Yakir |
Publisher | : |
Total Pages | : 324 |
Release | : 2014-09-19 |
Genre | : |
ISBN | : 9781502424662 |
Download Introduction to Statistical Thinking Book in PDF, Epub and Kindle
Introduction to Statistical ThinkingBy Benjamin Yakir
Author | : Jim Albert |
Publisher | : CRC Press |
Total Pages | : 312 |
Release | : 2007-07-12 |
Genre | : Mathematics |
ISBN | : 1584888695 |
Download Statistical Thinking in Sports Book in PDF, Epub and Kindle
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 bes
Author | : Joseph Tal |
Publisher | : McGraw-Hill Companies |
Total Pages | : 308 |
Release | : 2001 |
Genre | : Business & Economics |
ISBN | : |
Download Reading Between the Numbers Book in PDF, Epub and Kindle
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.
Author | : Stephen K. Campbell |
Publisher | : Courier Corporation |
Total Pages | : 210 |
Release | : 2012-05-14 |
Genre | : Mathematics |
ISBN | : 0486140512 |
Download Flaws and Fallacies in Statistical Thinking Book in PDF, Epub and Kindle
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.
Author | : Yu-Kang Tu |
Publisher | : CRC Press |
Total Pages | : 231 |
Release | : 2016-04-19 |
Genre | : Mathematics |
ISBN | : 1420099922 |
Download Statistical Thinking in Epidemiology Book in PDF, Epub and Kindle
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