In the field of statistics, robustness is a critical but often overlooked concept. In 'Optimal Robustness for Estimators and Tests', Allan Birnbaum and Eugene Laska offer a detailed analysis of this important topic, drawing on their extensive experience in both academia and industry. With practical examples and clear explanations, this book is an essential resource for anyone interested in statistical theory and its applications. This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work is in the "public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
- | Author: Allan Birnbaum, Eugene Laska
- | Publisher: Legare Street Press
- | Publication Date: Jul 18, 2023
- | Number of Pages: 120 pages
- | Language: English
- | Binding: Paperback
- | ISBN-10: 1021501654
- | ISBN-13: 9781021501653
