David Nott – författare
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Flexible Bayesian Regression Modeling is a step-by-step guide to the Bayesian revolution in regression modeling, for use in advanced econometric and statistical analysis where datasets are characterized by complexity, multiplicity, and large sample sizes, necessitating the need for considerable flexibility in modeling techniques. It reviews three forms of flexibility: methods which provide flexibility in their error distribution; methods which model non-central parts of the distribution (such as quantile regression); and finally models that allow the mean function to be flexible (such as spline models). Each chapter discusses the key aspects of fitting a regression model. R programs accompany the methods.
This book is particularly relevant to non-specialist practitioners with intermediate mathematical training seeking to apply Bayesian approaches in economics, biology, finance, engineering and medicine.
Introduces powerful new nonparametric Bayesian regression techniques to classically trained practitioners Focuses on approaches offering both superior power and methodological flexibility Supplemented with instructive and relevant R programs within the text Covers linear regression, nonlinear regression and quantile regression techniques Provides diverse disciplinary case studies for correlation and optimization problems drawn from Bayesian analysis 'in the wild'1 627 kr
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Whether switching on the TV, picking up a newspaper or simply logging on to the internet, one is constantly faced with images of natural disasters, conflict and human suffering. Humanity has experienced these problems throughout time and we have evolved methods and mechanisms for alleviating suffering, from trauma care following a traffic accident to international pacts and the Millennium Development Goals.
In exploring such diverse cases of aid intervention, Disaster Medicine: A Case Based Approach provides interesting, easily accessible content and context for understanding disaster medicine and global health. In each case the reader will be put in the position of the decision maker and as in real life some of the cases will portray success and some will show failure. It is hoped the reader will consider the issues and problems for themselves and perhaps consider things they would choose to do differently.
Written by a team of experts with extensive experience in the field and a progressive perspective Disaster Medicine: A Case Based Approach is a valuable text for students and professionals of disaster medicine.
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