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Titlebook: Probability; Alan F. Karr Textbook 1993 Springer Science+Business Media New York 1993 Conditional probability.Likelihood.Maxima.Normal dis

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發(fā)表于 2025-3-21 19:58:49 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Probability
編輯Alan F. Karr
視頻videohttp://file.papertrans.cn/757/756850/756850.mp4
叢書名稱Springer Texts in Statistics
圖書封面Titlebook: Probability;  Alan F. Karr Textbook 1993 Springer Science+Business Media New York 1993 Conditional probability.Likelihood.Maxima.Normal dis
描述This book is a text at the introductory graduate level, for use in the one- semester or two-quarter probability course for first-year graduate students that seems ubiquitous in departments of statistics, biostatistics, mathemat- ical sciences, applied mathematics and mathematics. While it is accessi- ble to advanced ("mathematically mature") undergraduates, it could also serve, with supplementation, for a course on measure-theoretic probability. Students who master this text should be able to read the "hard" books on probability with relative ease, and to proceed to further study in statistics or stochastic processes. This is a book to teach from. It is not encyclopredic, and may not be suitable for all reference purposes. Pascal once apologized to a correspondent for having written a long letter, saying that he hadn‘t the time to write a short one. I have tried to write a short book, which is quite deliberately incomplete, globally and locally. Many topics, including at least one of everyone‘s favorites, are omitted, among them, infinite divisibility, interchangeability, large devia- tions, ergodic theory and the Markov property. These can be supplied at the discretion and taste o
出版日期Textbook 1993
關鍵詞Conditional probability; Likelihood; Maxima; Normal distribution; Probability space; Random variable; Sage
版次1
doihttps://doi.org/10.1007/978-1-4612-0891-4
isbn_softcover978-1-4612-6937-3
isbn_ebook978-1-4612-0891-4Series ISSN 1431-875X Series E-ISSN 2197-4136
issn_series 1431-875X
copyrightSpringer Science+Business Media New York 1993
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-22 00:11:43 | 只看該作者
Alan F. Karrthat is an infinitely differentiable function of . (i.e. if .(.), .′(.) are vector fields of class ., then .(.(.), .′(.)) is a function of class .). The notion of Hermiticity requires, of course, a complex structure in the fibers of .Ω. It is introduced in a standard manner as follows: if . are the
板凳
發(fā)表于 2025-3-22 01:07:14 | 只看該作者
Alan F. Karrthat is an infinitely differentiable function of . (i.e. if .(.), .′(.) are vector fields of class ., then .(.(.), .′(.)) is a function of class .). The notion of Hermiticity requires, of course, a complex structure in the fibers of .Ω. It is introduced in a standard manner as follows: if . are the
地板
發(fā)表于 2025-3-22 06:43:16 | 只看該作者
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發(fā)表于 2025-3-22 11:45:04 | 只看該作者
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發(fā)表于 2025-3-22 12:59:53 | 只看該作者
Alan F. Karrs tour de force. The editors, themselves famous for their own extensive contributions in this area, must be congratulated for their ?ne achievements. Every card-carrying specialist needs a reference book of this sort. My own are well worn by many years’ reference, for when confronted by big problems
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發(fā)表于 2025-3-22 18:21:44 | 只看該作者
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發(fā)表于 2025-3-22 21:20:14 | 只看該作者
Probability,e, demography, waiting lines, astronomy, agricultural experiments, clinical trials, signal processing, traffic flow, reliability of complex systems, population growth, spread of infectious diseases, genetics, neurophysiology, microstructure of materials, precipitation, storage systems, telecommunica
9#
發(fā)表于 2025-3-23 03:29:42 | 只看該作者
Expectation,ues, where the weight of each value is the probability of the set on which it is assumed. Although it will not be until §3 that we establish this, it is intuitively clear that if . is discrete with values in the countable set ., this weighted average is given by.Similarly, if . is absolutely continu
10#
發(fā)表于 2025-3-23 08:26:36 | 只看該作者
Convergence of Random Variables,ts relationship to pointwise convergence, and convergence in distribution, because of its being the easiest to establish, are the most important and useful. Both generalize meaningfully and naturally to random vectors. Convergence in probability is significant for weak laws of large numbers, and in
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