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Kendall's Advanced Theory of Statistic 2B
Kendall's Advanced Theory of Statistics and Kendall's Library of Statistics The development of modern statistical theory in the past fifty years is reflected in the history of the late Sir Maurice Kenfall's volumes The Advanced Theory of Statistics. The Advanced Theory began life as a two-volume work, and since its first appearance in 1943, has been an indispensable source for the core theory of classical statistics. With Bayesian Inference, the same high standard has been applied to this important and exciting new body of theory.
Uncertain Judgements
Elicitation is the process of extracting expert knowledge about some unknown quantity or quantities, and formulating that information as a probability distribution. Elicitation is important in situations, such as modelling the safety of nuclear installations or assessing the risk of terrorist attacks, where expert knowledge is essentially the only source of good information. It also plays a major role in other contexts by augmenting scarce observational data, through the use of Bayesian statistical methods. However, elicitation is not a simple task, and practitioners need to be aware of a wide range of research findings in order to elicit expert judgements accurately and reliably. Uncertain ...
The Oxford Handbook of Applied Bayesian Analysis
Bayesian analysis has developed rapidly in applications in the last two decades and research in Bayesian methods remains dynamic and fast-growing. Dramatic advances in modelling concepts and computational technologies now enable routine application of Bayesian analysis using increasingly realistic stochastic models, and this drives the adoption of Bayesian approaches in many areas of science, technology, commerce, and industry. This Handbook explores contemporary Bayesian analysis across a variety of application areas. Chapters written by leading exponents of applied Bayesian analysis showcase the scientific ease and natural application of Bayesian modelling, and present solutions to real, engaging, societally important and demanding problems. The chapters are grouped into five general areas: Biomedical & Health Sciences; Industry, Economics & Finance; Environment & Ecology; Policy, Political & Social Sciences; and Natural & Engineering Sciences, and Appendix material in each touches on key concepts, models, and techniques of the chapter that are also of broader pedagogic and applied interest.
Uncertain Judgements
Elicitation is the process of extracting expert knowledge about some unknown quantity or quantities, and formulating that information as a probability distribution. Elicitation is important in situations, such as modelling the safety of nuclear installations or assessing the risk of terrorist attacks, where expert knowledge is essentially the only source of good information. It also plays a major role in other contexts by augmenting scarce observational data, through the use of Bayesian statistical methods. However, elicitation is not a simple task, and practitioners need to be aware of a wide range of research findings in order to elicit expert judgements accurately and reliably. Uncertain ...
Probability
This book is an elementary and practical introduction to probability theory. It differs from other introductory texts in two important respects. First, the per sonal (or subjective) view of probability is adopted throughout. Second, emphasis is placed on how values are assigned to probabilities in practice, i.e. the measurement of probabilities. The personal approach to probability is in many ways more natural than other current formulations, and can also provide a broader view of the subject. It thus has a unifying effect. It has also assumed great importance recently because of the growth of Bayesian Statistics. Personal probability is essential for modern Bayesian methods, and it can be difficult for students who have learnt a different view of probability to adapt to Bayesian thinking. This book has been produced in response to that difficulty, to present a thorough introduction to probability from scratch, and entirely in the personal framework.
Kendall's Advanced Theory of Statistics, Bayesian Inference
A supplement to Kendall's famous authoritative text The Advanced Theory of Statistics. Topics include the Bayesian method, inference and decisions, general principles and theory, subjective probability, non-subjective theories, subjective prior distributions, robustness and model comparison, computation, the linear model and other standard models. Exercises follow each chapter. Annotation copyright by Book News, Inc., Portland, OR
Patrick: the Irish Immigrant
Patrick: The Irish Immigrant is the story of a determined Irish lad who dreamed of a better life of opportunities in America. By the age of seventeen, Patrick J. O'Shea had saved enough money to buy passage to the United States. Upon his arrival in New York City, Patrick used his ambition and determination, mixed with a dash of Irish malarkey, to set himself up with a job and a new life. This recipe served him well throughout his adventures that led him from New York City to the Territory of Hawaii and throughout the world. Along the way, Patrick married the love of his life, Arabell. Together they raised their family against the backdrop of World War II and other life-changing historical events. Patrick's life story is the universal story of many immigrants to the United States of America. He came, he prospered, and he proudly became a U.S. citizen. Patrick wanted his story told to encourage others to persevere despite obstacles and setbacks, to do one's best at any task, and to always conduct oneself with honor and dignity.
Kendall's Advanced Theory of Statistics, Distribution Theory
This major revision contains a largely new chapter 7 providing an extensive discussion of the bivariate and multivariate versions of the standard distributions and families. Chapter 16 has been enlarged to cover multivariate sampling theory, an updated version of material previously found inthe old Volume III. The previous chapters 7 and 8 have been condensed into a single chapter providing an introduction to statistical inference. Elsewhere, major updates include new material on skewness and kurtosis, hazard rate distributions, the bootstrap, the evaluation of the multivariate normalintegral and ratios of quadratic forms. The new edition includes over 200 new references, 40 new exercises and 20 further examples in the main text. In addition, all the text examples have been given titles, and these are listed at the front of the book for easier reference.
Julian Assange
In December 2010, Julian Assange signed a contract with Canongate Books to write a book – part memoir, part manifesto – for publication the following year. At the time, Julian said: ‘I hope this book will become one of the unifying documents of our generation. In this highly personal work, I explain our global struggle to force a new relationship between the people and their governments.’ In the end, the work was to prove too personal. Despite sitting for more than fifty hours of taped interviews and spending many late nights at Ellingham Hall (where he was living under house arrest) discussing his life and the work of WikiLeaks with the writer he had enlisted to help him, Julian bec...
