책 세부 정보
형식
페이퍼백
페이지
496
언어
이탈리아어
출판됨
Jan 1, 2001
출판사
Springer
ISBN-10
8847000815
ISBN-13
9788847000810
설명
This comprehensive guide delves into the realms of probability, statistics, and simulation, offering readers a robust foundation through the practical use of Scilab. The authors, A Rotondi, P Pedroni, and A Pievatolo, expertly weave theoretical concepts with hands-on programming applications, allowing students and professionals alike to grasp complex statistical principles in a clear and engaging manner.
The book serves as an essential resource for those looking to enhance their understanding of statistical methodologies while developing their programming skills in Scilab. Each chapter is designed to build upon the previous one, establishing a logical progression that facilitates deeper comprehension and application of the material. Rich with examples and case studies, readers are encouraged to explore real-world scenarios that demonstrate the impact of statistical analysis and simulation.
Furthermore, the authors emphasize the significance of practical implementation, ensuring that readers not only learn the theory but also apply their knowledge in tangible projects. This interplay between theory and practice fosters a more profound appreciation for the subject matter, making it a valuable asset for both academic and professional development.
With its user-friendly approach and meticulous attention to detail, this book is an invaluable addition to the library of anyone interested in the fields of probability and statistics, providing the tools and knowledge necessary to succeed in this increasingly data-driven world.
The book serves as an essential resource for those looking to enhance their understanding of statistical methodologies while developing their programming skills in Scilab. Each chapter is designed to build upon the previous one, establishing a logical progression that facilitates deeper comprehension and application of the material. Rich with examples and case studies, readers are encouraged to explore real-world scenarios that demonstrate the impact of statistical analysis and simulation.
Furthermore, the authors emphasize the significance of practical implementation, ensuring that readers not only learn the theory but also apply their knowledge in tangible projects. This interplay between theory and practice fosters a more profound appreciation for the subject matter, making it a valuable asset for both academic and professional development.
With its user-friendly approach and meticulous attention to detail, this book is an invaluable addition to the library of anyone interested in the fields of probability and statistics, providing the tools and knowledge necessary to succeed in this increasingly data-driven world.