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Debrett's Peerage & Baronetage 2008
The extraordinary life of Australia's first international racehorse, from creating new records in Australia to his life in California, where he won the Hollywood Gold Cup In wartime Sydney, a small and weedy racehorse kicked his way through the top tier of Australian racing. He was Shannon, one of the fastest horses the nation had ever seen. Between 1943 and 1947, Shannon broke record after record with his garrulous jockey Darby Munro. When they sensationally lost the Epsom Handicap by six inches, they forever were stamped by the race they didn't win. Sold in August 1947 for the highest price ever paid at auction for an Australian thoroughbred, Shannon ended up in America. Through headline-s...
Annual Report
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Plan Canada
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The Real Diana Dors
The true story of the tumultuous and too-short life of the film star known as “the English Marilyn Monroe.” The story of Diana Dors is one of fame, glamour, and intrigue. From the moment she came into the world, her life was full of drama. She began her acting career in the shadow of the Second World War, entering the film world as a vulnerable young teenager and negotiating the difficult British studio system of the 1940s and ’50s. Yet she battled against the odds to become one of the most iconic British actors of the twentieth century. This book follows her remarkable story, from childhood in suburban Swindon to acting success as a teenager and finding fame as the “the English Mari...
Polk City Directory
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Parameter Redundancy and Identifiability
Statistical and mathematical models are defined by parameters that describe different characteristics of those models. Ideally it would be possible to find parameter estimates for every parameter in that model, but, in some cases, this is not possible. For example, two parameters that only ever appear in the model as a product could not be estimated individually; only the product can be estimated. Such a model is said to be parameter redundant, or the parameters are described as non-identifiable. This book explains why parameter redundancy and non-identifiability is a problem and the different methods that can be used for detection, including in a Bayesian context. Key features of this book:...
