A Locally Most Powerful Rank Test for the Location Parameter of a Double
Language: English
Published by Forgotten Books, 2018
- Softcover
- New
Seller: Forgotten Books, London, United KingdomForgotten Books
AbeBooks seller since June 2, 2021
Condition: New
US$ 17.22
Quantity: Over 20 available
Add to basketItem description from seller
Print on Demand. This book explores a specific statistical test, the Birnbaum test, used to compare the location of two sets of data. The test was developed to analyze data following a double exponential distribution, a specialized probability distribution used to model various real-world phenomena. The author provides a detailed explanation of the test's development and mathematical underpinnings, including its asymptotic normality and relative efficiency compared to other statistical tests. The book also delves into the relationship between the Birnbaum test and other statistical methods like Mood's M test. Overall, this book offers valuable insights into the Birnbaum test and its applications in statistical inference, making it a valuable resource for researchers and practitioners in statistics and related fields. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book.…
Seller Inventory # 9781333659073_0
- Title
- A Locally Most Powerful Rank Test for the Location Parameter of a Double
- Author
- Eugene Laska
- Publisher
- Forgotten Books
- Publication year
- 2018
- Condition
- New
- Book Type
- print-on-demand item
- Binding
- Paperback
- Language
- English
- ISBN 10
- 1333659075
- ISBN 13
- 9781333659073
- Seller catalogs
- Audits and Surveys
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Forgotten Books
London, United Kingdom
AbeBooks seller since June 2, 2021
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Forgotten Books’ Classic Reprint Series utilizes the latest technology to regenerate facsimiles of historically important writings. Careful attention has been made to accurately preserve the original format of each page whilst digitally enhancing the quality of the aged text.
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FB &c Ltd
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