This book explains the functioning of shared competences in environmental protection by focusing on member states' interaction with the EU framework. By studying this interaction, Squintani reveals room for improving the level of environmental protection, legal certainty, and efficiency of the system for environmental protection envisaged under the EU Treaties. Accordingly, this book makes a contribution to EU environmental law and policy, but also should be of interest to constitutional lawyers more generally and to scholars working in any field of EU policy and law in which minimum harmonisation is used. Thanks to its focus and clear, accessible prose, this book is also valuable additional reading material for environmental law courses, and to those involved in decision-making in the EU.
Anthony Crosland, a member of Harold Wilson's cabinet and the author of The Future of Socialism, was immensely influential in seeking to modernise the ideology of the Labour Party, to put opportunity and empowerment, the fairness of life chances and the sharing of social experiences at its centre in place of nationalisation. The party's belated redefinition guarantees a prominent role in its intellectual history to the revisionists' champion. Though Crosland wrote when economic growth could be taken for granted as the basis for social reform, his emphasis on fairness and community, on education and opportunity, continues to illuminate political debate in harder times.
A master teacher presents the ultimate introduction to classical mechanics for people who are serious about learning physics "Beautifully clear explanations of famously 'difficult' things," -- Wall Street Journal If you ever regretted not taking physics in college -- or simply want to know how to think like a physicist -- this is the book for you. In this bestselling introduction to classical mechanics, physicist Leonard Susskind and hacker-scientist George Hrabovsky offer a first course in physics and associated math for the ardent amateur. Challenging, lucid, and concise, The Theoretical Minimum provides a tool kit for amateur scientists to learn physics at their own pace.
"Shaw provides the definitive account of the historic national campaign to reform Nike's labor practices. . . . A must read for everyone seeking to achieve greater social and economic fairness in the 21st century."--Medea Benjamin, Co-Director, Global Exchange.
Learn statistics by analyzing professional basketball data! In this action-packed book, you’ll build your skills in exploratory data analysis by digging into the fascinating world of NBA games and player stats using the R language. Statistics Slam Dunk is an engaging how-to guide for statistical analysis with R. Each chapter contains an end-to-end data science or statistics project delving into NBA data and revealing real-world sporting insights. Written by a former basketball player turned business intelligence and analytics leader, you’ll get practical experience tidying, wrangling, exploring, testing, modeling, and otherwise analyzing data with the best and latest R packages and functions. In Statistics Slam Dunk you’ll develop a toolbox of R programming skills including: Reading and writing data Installing and loading packages Transforming, tidying, and wrangling data Applying best-in-class exploratory data analysis techniques Creating compelling visualizations Developing supervised and unsupervised machine learning algorithms Executing hypothesis tests, including t-tests and chi-square tests for independence Computing expected values, Gini coefficients, z-scores, and other measures If you’re looking to switch to R from another language, or trade base R for tidyverse functions, this book is the perfect training coach. Much more than a beginner’s guide, it teaches statistics and data science methods that have tons of use cases. And just like in the real world, you’ll get no clean pre-packaged data sets in Statistics Slam Dunk. You’ll take on the challenge of wrangling messy data to drill on the skills that will make you the star player on any data team. Foreword by Thomas W. Miller. About the technology Statistics Slam Dunk is a data science manual with a difference. Each chapter is a complete, self-contained statistics or data science project for you to work through—from importing data, to wrangling it, testing it, visualizing it, and modeling it. Throughout the book, you’ll work exclusively with NBA data sets and the R language, applying best-in-class statistics techniques to reveal fun and fascinating truths about the NBA. About the book Is losing basketball games on purpose a rational strategy? Which hustle statistics have an impact on wins and losses? Does spending more on player salaries translate into a winning record? You’ll answer all these questions and more. Plus, R’s visualization capabilities shine through in the book’s 300 plots and charts, including Pareto charts, Sankey diagrams, Cleveland dot plots, and dendrograms. About the reader For readers who know basic statistics. No advanced knowledge of R—or basketball—required. About the author Gary Sutton is a former basketball player who has built and led high-performing business intelligence and analytics organizations across multiple verticals. Table of Contents 1 Getting started 2 Exploring data 3 Segmentation analysis 4 Constrained optimization 5 Regression models 6 More wrangling and visualizing data 7 T-testing and effect size testing 8 Optimal stopping 9 Chi-square testing and more effect size testing 10 Doing more with ggplot2 11 K-means clustering 12 Computing and plotting inequality 13 More with Gini coefficients and Lorenz curves 14 Intermediate and advanced modeling 15 The Lindy effect 16 Randomness versus causality 17 Collective intelligence
