Descripción
This collaborative work presents a comprehensive exploration of Partial Least Squares (PLS) and its related methodologies, emphasizing modern applications and innovative approaches. The authors, notable experts in the field, delve into the intricacies of statistical modeling, providing fresh insights and perspectives that reflect the latest advancements in the discipline.
Through a series of meticulously researched chapters, the book examines the theoretical foundations of PLS while also highlighting practical implementations across various domains. The contributors aim to bridge the gap between theory and practice, showing how these methods can effectively address complex data challenges.
Readers will find valuable contributions that not only enhance their understanding of PLS techniques but also inspire new ideas for research and application. Engaging and informative, this work serves as a crucial resource for academics, practitioners, and anyone interested in the burgeoning field of data analysis.
Through a series of meticulously researched chapters, the book examines the theoretical foundations of PLS while also highlighting practical implementations across various domains. The contributors aim to bridge the gap between theory and practice, showing how these methods can effectively address complex data challenges.
Readers will find valuable contributions that not only enhance their understanding of PLS techniques but also inspire new ideas for research and application. Engaging and informative, this work serves as a crucial resource for academics, practitioners, and anyone interested in the burgeoning field of data analysis.
Detalles del libro
Formato
Tapa dura
Páginas
367 páginas
Idioma
Inglés
Publicado
oct. 17, 2013
Editorial
Springer
Ediciones
2 ediciones
ISBN-10
1461482828
ISBN-13
9781461482826