Applied Regression Analysis(2nd Edition)
Authors:
John O. Rawlings, Sastry G. Pantula, David A. Dickey
In Stock: 1 Left
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Solution Manual Includes
Price:
$9.99
Book details
ISBN: 0387984542, 978-0387984544
Book publisher: Springer
Book Price $0 : The book 'Applied Regression Analysis' by John O. Rawlings, Sastry G. Pantula, and David A. Dickey, now in its second edition, offers a comprehensive exploration of regression analysis, a cornerstone of statistical modeling. This extensive volume delves deeply into both the theoretical underpinnings and practical applications of regression techniques. Readers will find meticulously detailed chapters on various regression methods, such as linear regression, logistic regression, and polynomial regression, each furnished with illustrative examples and real-world applications. The book is highly lauded for its clear explanations and step-by-step approach, making it an invaluable resource for statisticians and data scientists alike. Seamlessly integrated within the text is a 'solution manual' and 'Answer Key' that guide readers through complex problems to ensure a thorough understanding of regression analysis. The 'table of content' is thoughtfully organized, allowing for easy navigation through subjects such as hypothesis testing, model selection, and diagnostics. The inclusion of modern statistical software applications further bolsters the book's utility, accommodating the needs of learners in today's data-driven landscape. Praised for its depth and clarity, the book is a vital tool for both students and professionals seeking to enhance their statistical analysis skills through practical regression approaches. In sum, it merges academic rigor with accessibility, making it a staple in quantitative research literature. The book fosters an understanding of statistical methods, integrating regression techniques with practical execution, which is crucial for data analysis and interpretation. Presented as a cheap course companion, it supports self-study and complements formal education.
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