Large Sample Techniques for Statistics - Jiming Jiang
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This book offers a comprehensive guide to large sample techniques in statistics. With a focus on developing analytical skills and understanding motivation, Large Sample Techniques for Statistics begins with fundamental techniques, and connects theory and applications in engaging ways. The first five chapters review some of the basic techniques, such as the fundamental epsilon-delta arguments, Taylor expansi ... Full description
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Description
This book offers a comprehensive guide to large sample techniques in statistics. With a focus on developing analytical skills and understanding motivation, Large Sample Techniques for Statistics begins with fundamental techniques, and connects theory and applications in engaging ways.
More Information
| Author | Jiming Jiang |
|---|---|
| Publisher | Springer Nature Switzerland |
| Series | Springer Texts in Statistics |
| Release year | 2022 |
| Cover type | Hardcover |
| EAN | 9783030916947 |