1# Library to Find Best eBook for Read
Author : Alan Agresti
Release : 2007
Genre :
Kind : eBook
Book Rating : 753/5 ( reviews)
Book Synopsis Statistics : the Art and Science of Learning from Data by : Alan Agresti
Download or read book Statistics : the Art and Science of Learning from Data written by Alan Agresti. This book was released on 2007. Available in PDF, EPUB and Kindle. Book excerpt:
Author : David Spiegelhalter
Release : 2019-09-03
Genre : Mathematics
Kind : eBook
Book Rating : 521/5 ( reviews)
Book Synopsis The Art of Statistics by : David Spiegelhalter
Download or read book The Art of Statistics written by David Spiegelhalter. This book was released on 2019-09-03. Available in PDF, EPUB and Kindle. Book excerpt: In this "important and comprehensive" guide to statistical thinking (New Yorker), discover how data literacy is changing the world and gives you a better understanding of life’s biggest problems. Statistics are everywhere, as integral to science as they are to business, and in the popular media hundreds of times a day. In this age of big data, a basic grasp of statistical literacy is more important than ever if we want to separate the fact from the fiction, the ostentatious embellishments from the raw evidence -- and even more so if we hope to participate in the future, rather than being simple bystanders. In The Art of Statistics, world-renowned statistician David Spiegelhalter shows readers how to derive knowledge from raw data by focusing on the concepts and connections behind the math. Drawing on real world examples to introduce complex issues, he shows us how statistics can help us determine the luckiest passenger on the Titanic, whether a notorious serial killer could have been caught earlier, and if screening for ovarian cancer is beneficial. The Art of Statistics not only shows us how mathematicians have used statistical science to solve these problems -- it teaches us how we too can think like statisticians. We learn how to clarify our questions, assumptions, and expectations when approaching a problem, and -- perhaps even more importantly -- we learn how to responsibly interpret the answers we receive. Combining the incomparable insight of an expert with the playful enthusiasm of an aficionado, The Art of Statistics is the definitive guide to stats that every modern person needs.
Author : Alan Agresti
Release : 2009
Genre : Mathematics
Kind : eBook
Book Rating : /5 ( reviews)
Book Synopsis Statistics by : Alan Agresti
Download or read book Statistics written by Alan Agresti. This book was released on 2009. Available in PDF, EPUB and Kindle. Book excerpt: CD-ROM contains: Activity manual, applets, data sets, and graphing calculator.html.
Author : Alan Agresti
Release : 2011-12-30
Genre :
Kind : eBook
Book Rating : 329/5 ( reviews)
Book Synopsis Statistics by : Alan Agresti
Download or read book Statistics written by Alan Agresti. This book was released on 2011-12-30. Available in PDF, EPUB and Kindle. Book excerpt: This edition features the exact same content as the traditional book in a convenient, three-hole- punched, loose-leaf version. Books a la Carte also offer a great value-this format costs significantly less than a new textbook. Statistics: The Art and Science of Learning from Data, Third Edition, helps students become statistically literate by encouraging them to ask and answer interesting statistical questions. This book takes the ideas that have turned statistics into a central science in modern life and makes them accessible without compromising necessary rigor. Authors Alan Agresti and Christine Franklin believe that it's important for students to learn and analyze both quantitative and categorical data. As a result, the book pays greater attention to the analysis of proportions than many other introductory statistics books. Concepts are introduced first with categorical data, and then with quantitative data. The Third Edition has been edited for conciseness and clarity to keep students focused on the main concepts. The data-rich examples that feature intriguing human-interest topics now include topic labels to indicate which statistical topic is being applied. New learning objectives for each chapter appear in the Instructor's Edition, making it easier to plan lectures and Chapter 7 (Sampling Distributions) now incorporates simulations in addition to the mathematical formulas. This package contains: Books a la Carte for Statistics: The Art and Science of Learning from Data, Third Edition, plus the CD-ROM that comes with the bound version of the textbook.
Author : Alan Agresti
Release : 2021-11-22
Genre : Business & Economics
Kind : eBook
Book Rating : 919/5 ( reviews)
Book Synopsis Foundations of Statistics for Data Scientists by : Alan Agresti
Download or read book Foundations of Statistics for Data Scientists written by Alan Agresti. This book was released on 2021-11-22. Available in PDF, EPUB and Kindle. Book excerpt: Foundations of Statistics for Data Scientists: With R and Python is designed as a textbook for a one- or two-term introduction to mathematical statistics for students training to become data scientists. It is an in-depth presentation of the topics in statistical science with which any data scientist should be familiar, including probability distributions, descriptive and inferential statistical methods, and linear modeling. The book assumes knowledge of basic calculus, so the presentation can focus on "why it works" as well as "how to do it." Compared to traditional "mathematical statistics" textbooks, however, the book has less emphasis on probability theory and more emphasis on using software to implement statistical methods and to conduct simulations to illustrate key concepts. All statistical analyses in the book use R software, with an appendix showing the same analyses with Python. The book also introduces modern topics that do not normally appear in mathematical statistics texts but are highly relevant for data scientists, such as Bayesian inference, generalized linear models for non-normal responses (e.g., logistic regression and Poisson loglinear models), and regularized model fitting. The nearly 500 exercises are grouped into "Data Analysis and Applications" and "Methods and Concepts." Appendices introduce R and Python and contain solutions for odd-numbered exercises. The book's website has expanded R, Python, and Matlab appendices and all data sets from the examples and exercises.
