Measure Theory and Probability Theory (Springer Texts in Statistics)

Measure Theory and Probability Theory (Springer Texts in Statistics)
Автор
 
Год
 
Страниц
 
610
ISBN
 
038732903X
Издатель
 
Pearson Education, Inc.
Категория
 
Новинки Сети

Содержание:

Парадоски, Провенансы, Куклы, Конспекты по Мерабу, Из летних записей, Танго, День рождения, Раздоры, Истрия, Рыбки-прилипалы, Невстреча, Мне снился сон, Таксистка, Песнь натурщицы, Спор суфиев, Вуду, Вместо интервью, Профессионалы, Главный герой, Колыбельная, Реквием, Карамзиндеревенский дневник, Гордневник

Описание:

This is a graduate level textbook on measure theory and probability theory. The book can be used as a text for a two semester sequence of courses in measure theory and probability theory, with an option to include supplemental material on stochastic processes and special topics. It is intended primarily for first year Ph.D. students in mathematics and statistics although mathematically advanced students from engineering and economics would also find the book useful. Prerequisites are kept to the minimal level of an understanding of basic real analysis concepts such as limits, continuity, differentiability, Riemann integration, and convergence of sequences and series. A review of this material is included in the appendix. The book starts with an informal introduction that provides some heuristics into the abstract concepts of measure and integration theory, which are then rigorously developed. The first part of the book can be used for a standard real analysis course for both...

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