Description
In this comprehensive two-volume set, the author delves into the intricate relationship between probability and statistics, offering a thorough exploration of the foundational concepts. The first volume lays the groundwork with detailed explanations of measure theory, essential for understanding probabilistic models and their applications.
As readers progress, they are introduced to a variety of probabilistic tools and techniques, all aimed at equipping them with a solid understanding of statistical principles. The text serves as both an educational resource for students and a valuable reference for professionals seeking to deepen their knowledge in the statistical field.
Through clear explanations and a logical progression of topics, this work not only emphasizes theoretical aspects but also showcases practical implementation, making it an indispensable addition to any statistician's library. The interconnected nature of the two volumes ensures a robust comprehension of the subject matter, making it ideal for those dedicated to mastering the are of probability in relation to statistics.
As readers progress, they are introduced to a variety of probabilistic tools and techniques, all aimed at equipping them with a solid understanding of statistical principles. The text serves as both an educational resource for students and a valuable reference for professionals seeking to deepen their knowledge in the statistical field.
Through clear explanations and a logical progression of topics, this work not only emphasizes theoretical aspects but also showcases practical implementation, making it an indispensable addition to any statistician's library. The interconnected nature of the two volumes ensures a robust comprehension of the subject matter, making it ideal for those dedicated to mastering the are of probability in relation to statistics.
Book Details
Format
Hardcover
Pages
1,122 pages
Language
English
Published
Jul 1, 1994
Publisher
Chapman and Hall/CRC
ISBN-10
0412054213
ISBN-13
9780412054211