A comprehensive introduction to statistics that teaches the fundamentals with real-life scenarios, and covers histograms, quartiles, probability, Bayes' theorem, predictions, approximations, random samples, and related topics.
A guide for data managers and analyzers shares guidelines for identifying patterns, predicting future outcomes, and presenting findings to others; drawing on current research in cognitive science and learning theory while covering such ...
Learn key topics such as language basics, pointers and pointer arithmetic, dynamic memory management, multithreading, and network programming. Learn how to use the compiler, the make tool, and the archiver.
As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more. For those who slept through Stats 101, this book is a lifesaver.
A clear and concise introduction and reference for anyone new to the subject of statistics.
Using the latest research in cognitive science and learning theory to craft a multi-sensory learning experience, the book uses a visually rich format designed for the way your brain works, not a text-heavy approach that puts you to sleep.
What will you learn from this book? If you have an idea for a killer Android app, this book will help you build your first working application in a jiffy.
Finally, with Head First Physics, there is. This comprehensive book takes the stress out of learning mechanics and practical physics by providing a fun and engaging experience, especially for students who "just don't get it.
Presents the basic principles of planar geometry in easy-to-understand terms, including information on polygons, triangle properties, and the Pythagorean Theorem. --
Convergence rates of posterior distributions. The Annals of Statistics 28 500–531. GILKs, W. R., RICHARDSON, S. and SPIEGELHALTER, D. J. (1998). Markov Chain Monte Carlo in Practice. Chapman & Hall. GRIMMETT, G. and STIRZAKER, D.
Stat Prep: A Bridge to Statistics