Large Sample Techniques For Statistics (springe... «Editor's Choice»

The 2nd edition (2022) of this comprehensive guide bridges the gap between formal theory and practical application. Unlike many texts that focus solely on rigorous proofs, this book emphasizes developing analytical thinking skills and intuition for asymptotic arguments.

Detailed reviews and purchasing options are available on platforms like Amazon and Parnassus Books . Large Sample Techniques for Statistics (Springe...

The second edition includes a new chapter on random matrix theory and expanded sections on mixed effects models. The 2nd edition (2022) of this comprehensive guide

Large-sample techniques are essential because they provide solutions for complex problems where exact distributions are intractable. As noted by Jiming Jiang in the preface, these techniques simplify and justify statistical solutions while guiding researchers toward better methods, though he warns that misuse can lead to serious errors, such as misinterpreting the asymptotic null distribution of a likelihood ratio test. Hardcover: ISBN 978-3-030-91694-7 Paperback: ISBN 978-3-030-91697-8 eBook: ISBN 978-3-030-91695-4 The second edition includes a new chapter on

Reviews basic tools like epsilon-delta arguments, Taylor expansion, types of convergence, and inequalities.

It is designed for a broad academic range, from senior undergraduates to doctoral researchers.