Bokdetaljer
Format
Pocketbok
Sidor
588
Språk
Engelska
Publicerad
Jan 1, 1977
Förlag
Pearson
Utgåva
1
ISBN-10
020104854X
ISBN-13
9780201048544
Beskrivning
Frederick Mosteller and John Tukey present a compelling exploration of advanced data analysis techniques in statistics. This work serves as a follow-up to foundational statistical knowledge, guiding readers through more complex methodologies that are essential for in-depth data interpretation. The authors underscore the importance of regression analysis and its practical applications in real-world scenarios, making this book an invaluable resource for those looking to enhance their statistical skills.
Through a blend of theoretical insights and practical examples, the authors clarify key concepts, ensuring that readers grasp the intricacies of statistical modeling. The book is thoughtfully organized, allowing for ease of navigation between various topics while providing numerous bibliographies that encourage further exploration of advanced statistical literature.
In addition to its rigorous academic approach, this work highlights the collaborative nature of statistical research, reflecting the authors' dedication to fostering a deeper understanding of data analysis. It is designed for those who have a foundational understanding of statistics and are ready to tackle more sophisticated analytical challenges.
Through a blend of theoretical insights and practical examples, the authors clarify key concepts, ensuring that readers grasp the intricacies of statistical modeling. The book is thoughtfully organized, allowing for ease of navigation between various topics while providing numerous bibliographies that encourage further exploration of advanced statistical literature.
In addition to its rigorous academic approach, this work highlights the collaborative nature of statistical research, reflecting the authors' dedication to fostering a deeper understanding of data analysis. It is designed for those who have a foundational understanding of statistics and are ready to tackle more sophisticated analytical challenges.