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 ... Pilns apraksts
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Aprašymas
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.
Vairāk informācijas
| Autors | Jiming Jiang |
|---|---|
| Izdevējs | Springer Nature Switzerland |
| Series | Springer Texts in Statistics |
| Izlaides gads | 2023 |
| Vāka tips | Mīkstais vāks |
| EAN | 9783030916978 |