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Introduction To Probability For Electrical Engineering

Prapun Suksompong

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مشخصات کتاب

نویسنده
Prapun Suksompong
سال انتشار
۲۰۰۸
فرمت
PDF
زبان
انگلیسی
حجم فایل
۱٫۱ مگابایت

دربارهٔ کتاب

In the theory of random processes there are two that are fundamental, and occur over and over again, often in surprising ways. There is a real sense in which the deepest results are concerned with their interplay. One, the Bachelier Wiener model of Brownian motion, has been the subject of many books. The other, the Poisson process, seems at first sight humbler and less worthy of study in its own right. Nearly every book mentions it, but most hurry past to more general point processes or Markov chains. This comparative neglect is ill judged, and stems from a lack of perception of the real importance of the Poisson process. This distortion partly comes about from a restriction to one dimension, while the theory becomes more natural in more general context. This book attempts to redress the balance. It records Kingman's fascination with the beauty and wide applicability of Poisson processes in one or more dimensions. The mathematical theory is powerful, and a few key results often produce surprising consequences. Two fundamental theories are commonly debated in the study of random processes: the Bachelier Wiener model of Brownian motion, which has been the subject of many books, and the Poisson process. While nearly every book mentions the Poisson process, most hurry past to more general point processes or to Markov chains. This comparative neglect is ill judged, and stems from a lack of perception of the real importance of the Poisson process. This distortion partly comes about from a restriction to one dimension, while the theory becomes more natural in more general contexts. This book attempts to redress the balance. It records the author's fascination with the beauty and wide applicability of Poisson processes in one or more dimensions. The mathematical theory is powerful and a few key results often produce surprising consequences. Stochastic Models For Random Sets Of Points -- Poisson Processes In General Spaces -- Sums Over Poisson Processes -- Poisson Processes On The Line -- Marked Poisson Processes -- Cox Processes -- Stochastic Geometry -- Completely Random Measures -- The Poisson-dirichlet Distribution. J.f.c. Kingman. Includes Bibliographical References And Index.

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