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Applied Regression Analysis and Other Multivariable Methods 5th Edition
Artigo n.º: 19092094

Applied Regression Analysis and Other Multivariable Methods 5th Edition

Artigo n.º: 19092094

€ 106

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O que se Destaca

Comprehensive Coverage
This edition includes in-depth discussions on various regression techniques, ensuring readers gain a thorough understanding of both fundamental and advanced multivariable methods for real-world application.
Practical Examples
Features extensive real-life case studies and practical examples that enhance learning, allowing students and professionals to apply theoretical concepts effectively in their analyses.
Updated Resources
Provides access to the latest statistical software and tools, enabling users to conduct advanced analyses efficiently while staying current with industry standards and practices.

Detalhes do produto

Compre Applied Regression Analysis and Other Multivariable Methods 5th Edition online ao melhor preço na Ubuy Portugal. Obtenha ofertas, descontos e opção de entrega rápida.
  • A comprehensive guide to applied regression analysis and other multivariable methods
  • 5th edition of the book
  • Covers important concepts, techniques, and applications of regression analysis
  • Includes real-world examples and case studies
  • Written by experienced authors with expertise in the field
  • Suitable for students, researchers, and professionals in statistics and related fields
Publisher Cengage Learning
Publication date August 30, 2013
Edition 5th
Language English
Print length 1072 pages
ISBN-10 1285051084
ISBN-13 978-1285051086
Item Weight 3.8 pounds (1.72 kg)
Dimensions 7.5 x 2 x 9.5 inches (19.1 x 5.1 x 24.1 cm)
Country of OriginThis item will be import from US
Date First AvailableApril 23, 2021
What is in the boxApplied Regression Analysis and... For more details, please check description/product details

Quem Deverá Comprar?

Suitable For
  • Graduate Students

    Ideal for students pursuing advanced studies in statistics, data analysis, or related fields looking to deepen their knowledge.

  • Data Analysts

    Suitable for professionals analyzing complex data sets who need thorough insights into regression techniques and methodologies.

  • Researchers

    Beneficial for academic and industry researchers requiring robust statistical methods for their studies and experiments.

Not Suitable For
  • Beginners

    Inexperienced users may find the content dense and challenging without foundational knowledge in statistics and regression.

DESCRIÇÃO DO PRODUTO

Applied Regression Analysis and Other Multivariable Methods 5th Edition

About This Item

Looking to explore the world of regression analysis and multivariable methods? Look no further than the Applied Regression Analysis and Other Multivariable Methods 5th Edition. This comprehensive textbook is your key to understanding and applying regression analysis in a variety of contexts. Whether you're a student, researcher, or professional in fields like economics, psychology, or social sciences, this book is a must-have resource. With its clear and concise explanations, you'll gain a solid foundation in the fundamentals of regression analysis and multivariable methods. The Applied Regression Analysis and Other Multivariable Methods 5th Edition covers a wide range of topics, including applied regression analysis, multivariable methods, and multiple regression analysis.

You'll learn about regression analysis techniques, regression analysis methods, applied regression techniques, and much more. What sets this book apart is its emphasis on practical application. Throughout the book, you'll find numerous real-world examples and case studies that demonstrate how regression analysis can be used to solve complex problems. You'll also find step-by-step instructions on how to use popular statistical software, making it easier for you to analyze data and draw meaningful conclusions. Whether you're a beginner or an experienced practitioner, the Applied Regression Analysis and Other Multivariable Methods 5th Edition has something to offer.

It provides a solid introduction to the concepts and techniques of regression analysis, while also covering more advanced topics for those looking to expand their knowledge. Don't miss out on this valuable resource. Get your copy of the Applied Regression Analysis and Other Multivariable Methods 5th Edition today and take your understanding of regression analysis to new heights.

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Probability & Statistics Editorial Review

**** The 5th edition of *Applied Regression Analysis and Other Multivariable Methods* has established itself as a valuable resource for both students and professionals in the statistical field, particularly for those pursuing advanced studies in biostatistics. Users Consistently praise the textbook for its clarity and structure, noting that it effectively transitions from fundamental concepts to more complex topics, catering to beginners and intermediate learners alike. The book serves as an essential guide in navigating regression analysis and other multivariable methods, making it a popular choice for graduate-level coursework. Many reviewers have expressed appreciation for its digestible approach to complex material, which aids in the learning process. Additionally, the text encourages further exploration of statistical concepts, complementing contemporary online resources by offering a more traditional literature-based perspective. However, a notable downside mentioned by some readers is the absence of R programming examples within the book. Although this may limit its applicability for those working within that software environment, the overall Consensus is that the textbook remains a fundamental asset for anyone studying statistics. Overall, the 5th edition shines as a practical academic tool, effectively balancing comprehensibility and depth, making it a recommended choice for students in statistics and related fields. **

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Prós

  • Clear and structured explanation of statistical concepts
  • Suitable for both beginners and intermediate students
  • Encourages further exploration of topics
  • Well-recommended for graduate-level courses

Contras

  • Lacks coding examples in R, which may limit some applications

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