An accessible, contemporary introduction to the methods for determining cause and effect in the social sciences Causal inference encompasses the tools that allow social scientists to determine what causes what... Zobraziť viac
New York Times Bestseller 'Fascinating and deeply disturbing' - Yuval Noah Harari, Guardian Books of the Year 'A manual for the 21st-century citizen...accessible, refreshingly critical, relevant and urgent' - Federica Cocco, Financial Times... Zobraziť viac
Anglicky psaná učebnice představuje základní typy moderní statistické analýzy dat pomocí tzv. jednorozměrných lineárních metod v prostředí jednoho z nejlepších statistických nástrojů na světě, volně dostupného softwaru R. Je určena pro studenty... Zobraziť viac
Statistics has played a leading role in our scientific understanding of the world for centuries, yet we are all familiar with the way statistical claims can be sensationalised, particularly in the media. In the age of big data, as data science ... Zobraziť viac
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance ... Zobraziť viac
When was the last time you read a grand statement, accompanied by a large number, and wondered whether it could really be true? Statistics are vital in helping us tell stories - we see them in the papers, on social media... Zobraziť viac
