本の詳細
形式
ハードカバー
ページ数
576
言語
英語
公開されました
Feb 23, 1994
出版社
Prentice Hall
版
Subsequent
ISBN-10
0137287917
ISBN-13
9780137287918
説明
This comprehensive volume delves into the essential concepts of probability, random processes, and estimation theory, tailored specifically for engineers. It serves as an invaluable resource, seamlessly blending theoretical foundations with practical applications relevant to the engineering field. Stark and Woods present the material in a clear and accessible manner, making complex ideas easier to grasp.
The authors emphasize the importance of understanding randomness and uncertainty, providing readers with the analytical skills necessary to navigate real-world engineering challenges effectively. With carefully crafted examples and robust explanations, the text fosters a deep comprehension of how probabilistic methods can enhance engineering processes.
Additionally, the included disk contains basic demonstration programs and MATLAB applications, which allow readers to apply the theoretical principles in a practical context. This interactive component ensures that learners can not only read about concepts but also engage with them directly, reinforcing their understanding.
Overall, the book acts as both a textbook and a practical guide, appealing to students and professionals eager to enhance their skills in probability and estimation techniques.
The authors emphasize the importance of understanding randomness and uncertainty, providing readers with the analytical skills necessary to navigate real-world engineering challenges effectively. With carefully crafted examples and robust explanations, the text fosters a deep comprehension of how probabilistic methods can enhance engineering processes.
Additionally, the included disk contains basic demonstration programs and MATLAB applications, which allow readers to apply the theoretical principles in a practical context. This interactive component ensures that learners can not only read about concepts but also engage with them directly, reinforcing their understanding.
Overall, the book acts as both a textbook and a practical guide, appealing to students and professionals eager to enhance their skills in probability and estimation techniques.