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text is designed for an introductory probability course at the university level for sophomores, juniors, and seniors in mathematics, physical and social sciences, engineering, and computer science. It presents a thorough treatment of ideas and techniques necessary for a firm understanding of the subject. The text is also recommended for use in discrete probability courses. The material is organized so that the discrete and continuous probability discussions are presented in a separate, but parallel, manner. This organization does not emphasize an overly rigorous or formal view of probabililty and therefore offers some strong pedagogical value. Hence, the discrete discussions can sometimes serve to motivate the more abstract continuous probability discussions. Key ideas are developed in a somewhat leisurely style, providing a variety of interesting applications to probability and showing some nonintuitive ideas. Over 600 exercises provide the opportunity for practicing skills and developing a sound understanding of ideas. Numerous historical comments deal with the development of discrete probability. The text includes many computer programs that illustrate the algorithms or the methods of computation for important problems.
This text investigates the fundamental concepts and techniques of probability for an introductory university-level course. It is designed for students in mathematics, physical and social sciences, engineering, and computer science, offering a thorough treatment of the subject. The material is organized to present discrete and continuous probability discussions in a parallel manner, allowing discrete concepts to motivate more abstract continuous ones. The approach prioritizes pedagogical value over excessive rigor, with key ideas developed leisurely and supported by numerous applications and over 600 exercises.
The book is presented as a pedagogical tool for introductory university-level probability courses, emphasizing conceptual understanding and practical application. Its parallel organization of discrete and continuous probability is highlighted as a key feature for student learning. The extensive number of exercises and inclusion of computer programs suggest a focus on active learning and computational aspects of the subject. The historical comments indicate an effort to provide context and depth beyond mere technical exposition.
Page Count:
343
Publication Date:
1988-01-01
Publisher:
Random House
ISBN-10:
0394344855
ISBN-13:
9780394344850
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