Applied Logistic Regression 3rd Edition
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Applied Logistic Regression 3rd Edition
Applied Logistic Regression, Third Edition is a must-have guide for professionals and researchers who need to model nominal or ordinal scaled outcome variables.
Applied Logistic Regression 3rd Edition
товар №: 15402894

Applied Logistic Regression 3rd Edition

86% of respondents would recommend this to a friend

товар №: 15402894

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Applied Logistic Regression, Third Edition is a must-have guide for professionals and researchers who need to model nominal or ordinal scaled outcome variables.
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What Stands Out

Comprehensive Coverage
This edition includes extensive topics on logistic regression applications, ensuring users gain in-depth knowledge and practical skills relevant for modern data analysis challenges.
Real-World Examples
Incorporates practical examples and case studies, allowing readers to relate theoretical concepts to real-life situations, enhancing understanding and applicability in various fields.
User-Friendly Approach
Designed for both beginners and experienced analysts, the structured layout and clear explanations make it accessible, promoting better learning and mastery of logistic regression techniques.

Информация о продукте

Shop Applied Logistic Regression 3rd Edition online at a best price in Tajikistan. 0470582472
Publisher Wiley
Publication date April 1, 2013
Edition 3rd
Language English
Print length 528 pages
ISBN-10 0470582472
ISBN-13 978-0470582473
Item Weight 2.1 pounds (950 grams)
Dimensions 6.25 x 1.2 x 9.3 inches (15.9 x 3 x 23.6 cm)

Who Should Buy?

Suitable For
  • Graduate Students

    Ideal for graduate-level students studying statistics or data analysis, providing foundational knowledge in logistic regression techniques.

  • Data Scientists

    Useful for data scientists seeking to enhance their modeling skills, offering practical applications and examples in logistic regression.

  • Statisticians

    Beneficial for statisticians looking to deepen their understanding of logistic regression concepts and applications in various fields.

Not Suitable For
  • Beginners

    Not suitable for beginners without prior statistical knowledge, as it assumes familiarity with advanced statistical concepts.

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Applied Logistic Regression 3rd Edition

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Biostatistics Editorial Review

**** The "Applied Logistic Regression 3rd Edition" has garnered a positive reception among a diverse group of readers, ranging from students to seasoned professionals in various fields, particularly in analytics and statistics. Users appreciate the book for its comprehensive coverage of logistic regression methodologies, making it a vital resource for both academic and practical applications. Many reviewers note its accessibility, highlighting that even individuals with limited statistical backgrounds find the material engaging and relatively easy to understand. Feedback suggests that the book strikes a good balance between theory and application. Users have found the mathematical derivations insightful, yet effective in clarifying the practical utility of logistic regression models. The inclusion of numerous examples helps bridge the gap between complex concepts and real-world application, which many readers find beneficial in their professional endeavors, such as fundraising analytics and academic teaching. Despite its mathematical depth, some readers feel that certain sections may be overly technical. However, this has not significantly detracted from their overall positive experience with the content. Additionally, some reviewers have reported minor disappointments regarding the condition of their copies, but these issues appear to be overshadowed by the book's educational value. In summary, the "Applied Logistic Regression 3rd Edition" is well-regarded for its clarity, practical relevance, and ability to make complex statistical concepts accessible and enjoyable. It has undoubtedly earned its place in the libraries of both new learners and experienced practitioners in the field of statistics. **

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Плюсы

  • Comprehensive coverage of logistic regression methodologies.
  • Accessible to readers with little statistical background.
  • Engaging and enjoyable presentation of statistical concepts.
  • Insightful mathematical derivations that clarify practical applications.
  • Numerous examples that facilitate understanding.

Минусы

  • Some sections may be overly mathematical for certain readers.

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Особенности и преимущества

  • Comprehensive guide to logistic regression modeling.
  • Focuses on applications in health sciences and beyond.
  • Includes a chapter on analyzing correlated outcome data.
  • Features rich datasets from real-world studies.
  • Provides state-of-the-art techniques for model performance assessment.
  • Ideal for professionals across diverse fields.

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