Title
Statistics For Longmemory Processes (Chapman & Hall/Crc Monographs On Statistics And Applied Probability)
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Statistical Methods For Long Term Memory Processes Covers The Diverse Statistical Methods And Applications For Data With Longrange Dependence. Presenting Material That Previously Appeared Only In Journals, The Author Provides A Concise And Effective Overview Of Probabilistic Foundations, Statistical Methods, And Applications. The Material Emphasizes Basic Principles And Practical Applications And Provides An Integrated Perspective Of Both Theory And Practice. This Book Explores Data Sets From A Wide Range Of Disciplines, Such As Hydrology, Climatology, Telecommunications Engineering, And Highprecision Physical Measurement. The Data Sets Are Conveniently Compiled In The Index, And This Allows Readers To View Statistical Approaches In A Practical Context. Statistical Methods For Long Term Memory Processes Also Supplies Splus Programs For The Major Methods Discussed. This Feature Allows The Practitioner To Apply Long Memory Processes In Daily Data Analysis. For Newcomers To The Area, The First Three Chapters Provide The Basic Knowledge Necessary For Understanding The Remainder Of The Material. To Promote Selective Reading, The Author Presents The Chapters Independently. Combining Essential Methodologies With Reallife Applications, This Outstanding Volume Is And Indispensable Reference For Statisticians And Scientists Who Analyze Data With Longrange Dependence.
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- Q: What is the page count of this book? A: This book has three hundred twenty-eight pages. It provides a comprehensive overview of statistical methods for long-memory processes.
- Q: What are the dimensions of this book? A: The book measures five point seventy-five inches in length, zero point ninety-four inches in width, and eight point seventy-four inches in height. These dimensions make it a standard hardcover size.
- Q: What binding does this book have? A: This book is bound in hardcover. Hardcover bindings are known for their durability and protection of the pages.
- Q: Who is the author of this book? A: The author of this book is Jan Beran. He is recognized for his contributions to the field of statistics and applied probability.
- Q: What topics does this book cover? A: This book covers statistical methods for data with long-range dependence. It emphasizes probabilistic foundations and practical applications.
- Q: Is this book suitable for beginners? A: Yes, the book includes three introductory chapters for newcomers. These chapters provide essential knowledge for understanding the more advanced material.
- Q: How do I apply the methods in this book? A: Readers can use the S-PLUS programs provided for the major methods discussed. These programs facilitate the application of long memory processes in data analysis.
- Q: Can this book help with real-life data analysis? A: Yes, it combines essential methodologies with real-life applications. It is designed for statisticians and scientists analyzing data with long-range dependence.
- Q: What disciplines does this book draw data sets from? A: The book explores data sets from hydrology, climatology, telecommunications engineering, and high-precision physical measurement. It showcases statistical approaches in various practical contexts.
- Q: How should I read this book? A: You can read the chapters independently, allowing for selective reading based on your interests. This structure promotes a focused approach to learning.
- Q: Are there any specific statistical methods covered? A: Yes, the book discusses various statistical methods designed for long-memory processes. These methods are vital for analyzing data with long-range dependence.
- Q: What is the main focus of the book? A: The main focus is on statistical methods for long-term memory processes. It emphasizes both theoretical foundations and practical applications.
- Q: Is prior knowledge of statistics required? A: Some basic knowledge is helpful, but the introductory chapters are designed for beginners. They provide the foundational understanding needed for advanced sections.
- Q: Does this book include software tools? A: Yes, it includes S-PLUS programs for the major methods discussed. This allows practitioners to apply these methods in their data analysis.
- Q: What makes this book an indispensable reference? A: It combines essential methodologies with practical applications, making it a crucial resource for statisticians and scientists working with long-range dependent data.
- Q: Is this book a good resource for researchers? A: Yes, the book serves as an excellent resource for researchers in various fields who analyze data with long-range dependence.