A concise introduction covering all of the measure theory and probability most useful for statisticians.
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Ross Leadbetter is Professor of Statistics and Operations Research at the University of North Carolina, Chapel Hill. His research involves stochastic process theory and applications, point processes, and particularly extreme value and risk theory for stationary sequences and processes.
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Hardcover. Zustand: New. No Jacket. 1st Edition. This is a new hardcover first edition copy, slick red binding, no DJ, 360 pages with index. Photos on request. Bestandsnummer des Verkäufers 104001
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Hardcover. Zustand: new. Hardcover. Originating from the authors' own graduate course at the University of North Carolina, this material has been thoroughly tried and tested over many years, making the book perfect for a two-term course or for self-study. It provides a concise introduction that covers all of the measure theory and probability most useful for statisticians, including Lebesgue integration, limit theorems in probability, martingales, and some theory of stochastic processes. Readers can test their understanding of the material through the 300 exercises provided. The book is especially useful for graduate students in statistics and related fields of application (biostatistics, econometrics, finance, meteorology, machine learning, and so on) who want to shore up their mathematical foundation. The authors establish common ground for students of varied interests which will serve as a firm 'take-off point' for them as they specialize in areas that exploit mathematical machinery. This concise introduction covers all of the measure theory and probability most useful for statisticians. Originating from the authors' own graduate course, it is perfect for a two-term course or for self-study. It is especially useful to graduate students in related fields who want to shore up their mathematical foundation. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9781107020405
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Hardcover. Zustand: Brand New. 360 pages. 9.00x6.25x1.00 inches. In Stock. Bestandsnummer des Verkäufers __1107020409
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Zustand: New. A concise introduction covering all of the measure theory and probability most useful for statisticians. Num Pages: 376 pages, 15 b/w illus. 300 exercises. BIC Classification: PBK; PBT. Category: (P) Professional & Vocational. Dimension: 232 x 161 x 22. Weight in Grams: 722. . 2014. Hardcover. . . . . Bestandsnummer des Verkäufers V9781107020405
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This concise introduction covers all of the measure theory and probability most useful for statisticians. Originating from the authors own graduate course, it is perfect for a two-term course or for self-study. It is especially useful to graduate students . Bestandsnummer des Verkäufers 447213741
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Anbieter: CitiRetail, Stevenage, Vereinigtes Königreich
Hardcover. Zustand: new. Hardcover. Originating from the authors' own graduate course at the University of North Carolina, this material has been thoroughly tried and tested over many years, making the book perfect for a two-term course or for self-study. It provides a concise introduction that covers all of the measure theory and probability most useful for statisticians, including Lebesgue integration, limit theorems in probability, martingales, and some theory of stochastic processes. Readers can test their understanding of the material through the 300 exercises provided. The book is especially useful for graduate students in statistics and related fields of application (biostatistics, econometrics, finance, meteorology, machine learning, and so on) who want to shore up their mathematical foundation. The authors establish common ground for students of varied interests which will serve as a firm 'take-off point' for them as they specialize in areas that exploit mathematical machinery. This concise introduction covers all of the measure theory and probability most useful for statisticians. Originating from the authors' own graduate course, it is perfect for a two-term course or for self-study. It is especially useful to graduate students in related fields who want to shore up their mathematical foundation. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9781107020405
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