Cambridge Green Subidvision Noise Impact Study

This third edition of the much acclaimed Cambridge Handbook of Psychology, Health and Medicine offers a fully up-to-date, comprehensive, accessible, one-stop resource for doctors, health care professionals, mental health care professionals (such as psychologists, counsellors, specialist nurses), academics, researchers, and students specializing in health across all these fields. The new streamlined structure of the book features brief section overviews summarising the state of the art of knowledge on the topic to make the information easier to find. The encyclopaedic aspects of the Handbook have been retained; all the entries, as well as the extensive references, have been updated. Retaining all the virtues of the original, this edition is expanded with a range of new topics, such as the effects of conflict and war on health and wellbeing, advancements in assisted reproduction technology, e-health interventions, patient-reported outcome measures, health behaviour change interventions, and implementing changes into health care practice.

This Research Agenda explores the future of spatial analysis, and how the field informs and challenges the policy landscape. A wide range of contributors from different intellectual communities address the problem of causality in geographic analysis, arguing that diversity is crucial for the future success of the discipline. This title contains one or more Open Access chapters.

This book describes the new generation of discrete choice methods, focusing on the many advances that are made possible by simulation. Researchers use these statistical methods to examine the choices that consumers, households, firms, and other agents make. Each of the major models is covered: logit, generalized extreme value, or GEV (including nested and cross-nested logits), probit, and mixed logit, plus a variety of specifications that build on these basics. Simulation-assisted estimation procedures are investigated and compared, including maximum stimulated likelihood, method of simulated moments, and method of simulated scores. Procedures for drawing from densities are described, including variance reduction techniques such as anithetics and Halton draws. Recent advances in Bayesian procedures are explored, including the use of the Metropolis-Hastings algorithm and its variant Gibbs sampling. The second edition adds chapters on endogeneity and expectation-maximization (EM) algorithms. No other book incorporates all these fields, which have arisen in the past 25 years. The procedures are applicable in many fields, including energy, transportation, environmental studies, health, labor, and marketing.

Summarizes the science of climate change and impacts on the United States, for the public and policymakers.