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Titlebook: Probability; Methods and measurem Anthony O’Hagan Book 1988 A. O’Hagan 1988 Parameter.probability.probability theory.Random variable.standa

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书目名称Probability
副标题Methods and measurem
编辑Anthony O’Hagan
视频video
图书封面Titlebook: Probability; Methods and measurem Anthony O’Hagan Book 1988 A. O’Hagan 1988 Parameter.probability.probability theory.Random variable.standa
描述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.
出版日期Book 1988
关键词Parameter; probability; probability theory; Random variable; standard deviation; statistics; Variance
版次1
doihttps://doi.org/10.1007/978-94-009-1211-3
isbn_softcover978-94-010-7038-6
isbn_ebook978-94-009-1211-3
copyrightA. O’Hagan 1988
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Anthony O’Haganues (NP), neurofibrillary tangles (NFT), and subsequent neuronal loss, which are present in a typical distribution in the brains of the afflicted patients. The two most common risk factors for AD are advanced age and family history of dementia..The following case illustrates complex presentation in
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Anthony O’Haganesearch evidence that academic information is mostly related to college dropout related to university dropout, while admission, financial, and student profile information are not significant in detecting or predicting college dropout. However, with the data obtained, it has been shown that the predi
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