Detalles del libro
Formato
Tapa blanda
Páginas
244
Idioma
Inglés
Publicado
Oct 17, 2019
Editorial
Routledge
ISBN-10
0367401320
ISBN-13
9780367401320
Descripción
This work delves into the complexities of time series analysis, a crucial aspect of statistical study that holds particular relevance in economics and various other fields. It skillfully combines theoretical insights with practical applications, allowing readers to grasp both the foundational principles and the advanced methodologies used to interpret time-dependent data.
The authors, accomplished researchers in their respective fields, bring a wealth of knowledge and experience to the topic. Their collaborative effort provides a comprehensive overview of methods for prediction, interpolation, and understanding of time series, ensuring that both novices and seasoned statisticians can draw valuable insights from the material.
By emphasizing real-world applications, the book not only illustrates the importance of time series analysis in economic forecasting but also extends its relevance to other areas such as finance, engineering, and environmental studies. This multifaceted approach ensures readers can apply the concepts learned to a wide array of practical scenarios, highlighting the enduring nature of time series research in a rapidly evolving world.
The authors, accomplished researchers in their respective fields, bring a wealth of knowledge and experience to the topic. Their collaborative effort provides a comprehensive overview of methods for prediction, interpolation, and understanding of time series, ensuring that both novices and seasoned statisticians can draw valuable insights from the material.
By emphasizing real-world applications, the book not only illustrates the importance of time series analysis in economic forecasting but also extends its relevance to other areas such as finance, engineering, and environmental studies. This multifaceted approach ensures readers can apply the concepts learned to a wide array of practical scenarios, highlighting the enduring nature of time series research in a rapidly evolving world.
Géneros
Historia
Naturaleza