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portada Large Sample Techniques for Statistics
Type
Physical Book
Author
Publisher
Language
English
Pages
685
Format
Paperback
Dimensions
23.4 x 15.6 x 3.6 cm
Weight
0.97 kg.
ISBN13
9783030916978
Edition No.
0002
Categories

Large Sample Techniques for Statistics

Jiming Jiang (Author) · Springer · Paperback

Large Sample Techniques for Statistics - Jiang, Jiming

New Book Imported to New Zealand
Delivery: 11 Aug - 18 Aug Shipping: 4 to 5 business days.
NZ$ 111.50
Import costs and 15% GST included in the price ✅
NZ$ 111.50

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Synopsis "Large Sample Techniques for Statistics"

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 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. The book's case studies and applications-oriented chapters demonstrate how to use methods developed from large sample theory in real world situations. The book is supplemented by a large number of exercises, giving readers opportunity to practice what they have learned. Appendices provide context for matrix algebra and mathematical statistics. The Second Edition seeks to address new challenges in data science.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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