Basic Econometrics, 6th Edition
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IDR 1836164
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What Stands Out
Rincian Produk
- Comprehensive 6th edition of the book Basic Econometrics
- Paperback format for ease of use
- Updated edition released on January 1, 2019
- Ideal for students and professionals studying econometrics
- Covers essential topics like regression analysis and statistical inference
- Provides practical applications and examples
| Publisher | MC GRAW HILL INDIA |
| Publication date | January 1, 2019 |
| Language | English |
| ISBN-10 | 9390219299 |
| ISBN-13 | 978-9390219292 |
| Item Weight | 2.7 pounds (1.22 kg) |
| Dimensions | 7.87 x 5.51 x 1.57 inches (20 x 14 x 4 cm) |
Who Should Buy?
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Students Learning Econometrics
Ideal for undergraduate and graduate students seeking a comprehensive introduction to econometric concepts and methodologies.
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Professionals in Finance
Useful for finance professionals who need to understand data analysis techniques for economic modeling and decision-making.
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Researchers in Economics
Beneficial for researchers needing a foundational resource for employing econometric techniques in conducting empirical research.
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Beginners in Statistics
Not suitable for those with no prior knowledge of statistics, as it assumes a certain level of understanding.
DESKRIPSI PRODUK
Basic Econometrics, 6th Edition
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pertanyaan:
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Ulasan Editorial
Basic Econometrics is a classic, well-explained, and easy-to-understand textbook that is helpful for students who are new to learning econometrics. It provides a comprehensive overview of Regression models, Correlation, and time series, helping to clear up any related concepts. However, it is not written entirely on n-variable regression models, which can make it a little tricky for statistics graduates. The book does come with theory and problems, but its physical copy lacks a keyword index for searching specific terms.
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Bagikan pikiran Anda kepada pelanggan lain
Pro
- Comprehensive overview
- Easy to understand for new econometrics students
- Contains theory and problems
Kontra
- Not written entirely on n-variable regression models
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IDR 1836164
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