Introduction to Statistical Thinking
Title | Introduction to Statistical Thinking PDF eBook |
Author | Benjamin Yakir |
Publisher | |
Pages | 324 |
Release | 2014-09-19 |
Genre | |
ISBN | 9781502424662 |
Introduction to Statistical ThinkingBy Benjamin Yakir
Introduction to Statistical Thought
Title | Introduction to Statistical Thought PDF eBook |
Author | Michael Lavine |
Publisher | Orange Grove Text Plus |
Pages | 0 |
Release | 2009-09-24 |
Genre | |
ISBN | 9781616100483 |
This free PDF textbook is intended as an upper level undergraduate or introductory graduate textbook in statistical thinking. It is best suited to students with a good knowledge of calculus and the ability to think abstractly. The focus of the text is the ideas that statisticians care about as opposed to technical details of how to put those ideas into practice. Another unusual aspect is the use of statistical software as a pedagogical tool. That is, instead of viewing the computer merely as a convenient and accurate calculating device, the book uses computer calculation and simulation as another way of explaining and helping readers understand the underlying concepts. The book is written with the statistical language R embedded throughout. R software and accompanying manuals are available for free download from http: //www.r-project.or
Statistical Thinking from Scratch
Title | Statistical Thinking from Scratch PDF eBook |
Author | M. D. Edge |
Publisher | Oxford University Press, USA |
Pages | 318 |
Release | 2019-06-13 |
Genre | |
ISBN | 0198827628 |
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 Rethinking
Title | Statistical Rethinking PDF eBook |
Author | Richard McElreath |
Publisher | CRC Press |
Pages | 488 |
Release | 2018-01-03 |
Genre | Mathematics |
ISBN | 1315362619 |
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 Through Media Examples
Title | Statistical Thinking Through Media Examples PDF eBook |
Author | Anthony Donoghue |
Publisher | Cognella Academic Publishing |
Pages | |
Release | 2021-08-02 |
Genre | |
ISBN | 9781793564634 |
Statistical Thinking in Business
Title | Statistical Thinking in Business PDF eBook |
Author | J. A. John |
Publisher | CRC Press |
Pages | 408 |
Release | 2005-08-29 |
Genre | Business & Economics |
ISBN | 1420057162 |
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 in Sports
Title | Statistical Thinking in Sports PDF eBook |
Author | Jim Albert |
Publisher | CRC Press |
Pages | 312 |
Release | 2007-07-12 |
Genre | Mathematics |
ISBN | 1584888695 |
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