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Book Description Condition: New. Seller Inventory # 20339775-n
Book Description Paperback. Condition: new. Paperback. Suitable for a graduate course in analytic probability theory, this text requires no previous knowledge of probability and only a limited background in real analysis. In addition to providing instruction for graduate students in mathematics and mathematical statistics, the book features detailed proofs that offer direct access to the basic theorems of probability theory for mathematicians of all interests.The treatment strikes a balance between measure-theoretic aspects of probability and distribution aspects, presenting some of the basic theorems of analytic probability theory in a cohesive manner. Statements are rendered as simply as possible in order to make them easy to remember and to demonstrate the essential idea behind each proof. Topics include probability spaces and distributions, stochastic independence, basic limiting operations, strong limit theorems for independent random variables, the central limit theorem, conditional expectation and Martingale theory, and an introduction to stochastic processes, particularly Brownian motion. Each section concludes with problems that reinforce the preceding material. Suitable for a graduate course in analytic probability, this text covers probability spaces and distributions, stochastic independence, strong limit theorems for independent random variables, stochastic processes, and much more. 1967 edition. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780486493039
Book Description paperback. Condition: New. Language: ENG. Seller Inventory # 9780486493039
Book Description Condition: NUOVO. Suitable for a graduate course in analytic probability theory, this text requires no previous knowledge of probability and only a limited background in real analysis. In addition to providing instruction for graduate students in mathematics and mathematical statistics, the book features detailed proofs that offer direct access to the basic theorems of probability theory for mathematicians of all interests. The treatment strikes a balance between measure-theoretic aspects of probability and distribution aspects, presenting some of the basic theorems of analytic probability theory in a cohesive manner. Statements are rendered as simply as possible in order to make them easy to remember and to demonstrate the essential idea behind each proof. Topics include probability spaces and distributions, stochastic independence, basic limiting operations, strong limit theorems for independent random variables, the central limit theorem, conditional expectation and Martingale theory, and an introduction to stochastic processes, particularly Brownian motion. Each section concludes with problems that reinforce the preceding material. cm.15,5x22, pp.XIII,273, New York, Dover Publications cm.15,5x22, pp.XIII,273, brossura copertina figurata a colori. brossura copertina figurata a colori. Seller Inventory # 293451
Book Description Paperback. Condition: new. New. Fast Shipping and good customer service. Seller Inventory # Holz_New_0486493032
Book Description Condition: New. pp. 288 Reprint of the Academic Press, New York, 1967 Edition. Seller Inventory # 2658643985
Book Description Paperback. Condition: new. New. Seller Inventory # Wizard0486493032
Book Description Paperback. Condition: Brand New. 273 pages. 9.00x6.00x0.75 inches. In Stock. Seller Inventory # __0486493032
Book Description Condition: New. pp. 288. Seller Inventory # 50948558
Book Description Condition: New. Series: Dover Books on Mathematics. Num Pages: 288 pages. BIC Classification: PBT. Category: (G) General (US: Trade). Dimension: 229 x 153 x 13. Weight in Grams: 381. . 2014. Paperback. . . . . Seller Inventory # V9780486493039