If you were about to learn statistics, what would your data say, and how would you interpret it? This learning and provocative question is at the core of the remarkable and easy learning book, Pocket Statistics. This book emerged from the data scientists working in different fields, designed to help people discover their statistical thinking, and then speak it out loud, developed by renowned scientist Bharat Kwatra.

FAO’s Statistical Pocketbook complements the Statistical Yearbook, by providing, in an easy and simple way, quick access to top-level numbers, charts and maps on many dimensions of food and agriculture – from the characteristics of the sector to production, prices and trade, as well as food security and nutrition and environmental aspects.

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, marketing, and astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more. Color graphics and real-world examples are used to illustrate the methods presented. This book is targeted at statisticians and non-statisticians alike, who wish to use cutting-edge statistical learning techniques to analyze their data. Four of the authors co-wrote An Introduction to Statistical Learning, With Applications in R (ISLR), which has become a mainstay of undergraduate and graduate classrooms worldwide, as well as an important reference book for data scientists. One of the keys to its success was that each chapter contains a tutorial on implementing the analyses and methods presented in the R scientific computing environment. However, in recent years Python has become a popular language for data science, and there has been increasing demand for a Python-based alternative to ISLR. Hence, this book (ISLP) covers the same materials as ISLR but with labs implemented in Python. These labs will be useful both for Python novices, as well as experienced users.

Vol. for 1962 includes statistics for the period 1952-62.

Statistics has evolved into an exciting discipline which uses deep theory and powerful software to shed light on the world around us: from clinical trials in medicine, to economics, sociology, and countless other subjects vital to understanding modern life. This Very Short Introduction explores and explains how statistics works today.

This yearbook presents selected key indicators related to agriculture and food security that the international community, governments, the private sector and civil society can use to assess current trends and prioritize actions. It has two main sections, one thematic and one country-specific. It presents a variety of dimensions of agriculture and food security in four focus areas: the setting; hunger dimensions; food supply; and environment. The book is part of the FAO Statistical Yearbook suite of products; it includes data from FAOSTAT and other FAO databases and international organizations.