Applied Linear Regression(3rd Edition)
Authors:
Sanford Weisberg

Cover Type: Hardcover
Condition: Used/New
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ISBN: 0471704083, 978-0471704089
Book publisher: Wiley-Interscience
Book Price $49 : Applied Linear Regression by Sanford Weisberg serves as an essential resource for those diving deep into statistical analysis, particularly focusing on the application of linear regression models in real-world scenarios. The 3rd edition brings updated methodologies and a broader range of applications, reflecting advances in statistical computing and technology. Key themes in the book include the core concepts of linear regression, model fitting, diagnostic techniques, and multicollinearity. Weisberg meticulously guides readers through quantitative methods and data interpretation, weaving together theory with practice. In addition to direct applications, the book emphasizes the importance of using a solution manual and answer key to solidify understanding of complex problems found in its exercises. The table of content is structured to facilitate learning with a progressive approach, covering basic topics before moving into advanced techniques such as residual analysis and transformation strategies. Reception of this edition has been notably positive, praised for its clarity, comprehensive coverage, and integration of real datasets. For those engaging in statistical computation, R programming language examples are enclosed, providing a pragmatic framework for learning. By formulating models that best describe the structure of data, the book equips statisticians, data analysts, and students with the tools needed for precise predictive analytics in diverse fields. The affordable and cheap resource at the end supports educators seeking supplementary material.
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Alex Johnson
September 12, 2023
( 5 )
Excellent Resource for Linear Regression Models
"I recently got this book and it has been a staple on my desk ever since. The author's clear explanations and practical examples make it an exceptional resource for anyone delving into linear regression. I particularly appreciate the sections that break down complex theories into understandable chunks. The book arrived quickly and was well-packaged, a big plus during a busy semester. Highly recommended for students and professionals alike!"
Emily Rogers
August 27, 2023
( 5 )
Outstanding Book with Clear Examples
"This is a top-notch resource for understanding and applying linear regression. What sets it apart are the crystal-clear examples that help reinforce the concepts. It's obvious that the author has carefully structured the content for both beginners and advanced readers. I used my Amazon Prime membership and got it delivered the next day. If you're looking for a comprehensive guide in this field, look no further."
Mark Williams
July 15, 2023
( 4 )
Good Balance of Theory and Practice
"As an intermediate data scientist, I found this book quite useful. It strikes a good balance between theory and practical application. There are minor areas that I felt could dig a bit deeper into contemporary methods, but overall it's very competent. My subscription gave me a nice discount, which is always a bonus. Delivery was prompt and hassle-free."
Sarah Lee
October 2, 2023
( 3 )
Decent Introduction to Regression
"The book is great as an intro, but could be more comprehensive."