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Large Sample Techniques for Statistics
Hardcover
Series: Springer Texts in Statistics
ISBN13: 9783030916947
Publisher: Springer
Published: Apr 5 2022
Pages: 685
Weight: 2.54
Height: 1.50 Width: 6.14 Depth: 9.21
Language: English
The first five chapters review some of the basic techniques, such as the fundamental epsilon-delta arguments, Taylor expansion, different types of convergence, and inequalities. The next five chapters discuss limit theorems in specific situations of observational data. Each of the first ten chapters contains at least one section of case study. The last six chapters are devoted to special areas of applications. This new edition introduces a final chapter dedicated to random matrix theory, as well as expanded treatment of inequalities and mixed effects models.
This text is intended for a wide audience, ranging from senior undergraduate students to researchers with doctorates. A first course in mathematical statistics and a course in calculus are prerequisites..
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