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Second Course in Statistics, A: Regression Analysis
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TWD 8876
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A highly readable text that explains concepts in a logical, intuitive manner with worked-out examples.
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產品詳情
| Publisher | Pearson |
| Publication date | January 1, 2019 |
| Edition | 8th |
| Language | English |
| Print length | 848 pages |
| ISBN-10 | 013516379X |
| ISBN-13 | 978-0135163795 |
| Item Weight | 3.75 pounds (1.7 kg) |
| Dimensions | 1.3 x 8.2 x 10.1 inches (3.3 x 20.8 x 25.7 cm) |
Who Should Buy?
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Statistics Students
Ideal for students studying advanced statistics concepts, especially those focused on regression techniques and analysis.
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Data Analysts
Beneficial for data analysts who need in-depth knowledge of regression methods for modeling and interpreting data.
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Research Professionals
Suitable for researchers requiring statistical methods for analyzing data sets in various fields like social sciences.
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Beginners in Statistics
Not suitable for beginners as it requires prior knowledge of statistical concepts and basic regression analysis.
產品描述
Second Course in Statistics, A: Regression Analysis
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Probability & Statistics Editorial Review
Second Course in Statistics, A: Regression Analysis is a comprehensive textbook published by Pearson that dives deep into the complexities of regression analysis. The 8th edition, released on January 1, 2019, spans 848 pages of detailed content, making it a valuable resource for students and professionals alike. Many readers appreciate the accessible language and structured approach to the material, which fosters a better understanding of statistical concepts. This edition includes updated examples and practical applications, ensuring relevance in today's data-driven world.
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優點
- Comprehensive coverage of regression topics
- Accessible language for easier understanding
- Structured approach enhances learning
- Includes updated examples and applications
- Well-organized for students and professionals
缺點
- A bit lengthy for casual readers
Product Price History
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TWD 8876
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特色和優勢
- Gives students the background and confidence to apply regression analysis techniques
- Demonstrates applications to engineering, sociology, psychology, science, and business
- Uses real data and scenarios from news articles, journals, and consulting problems
- Includes seven case studies suitable for class discussion
- Incorporates substantial changes, additions, and enhancements to case studies, data sets, and software tutorials
- Accessible and practical resource for mastering regression analysis
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