A graduate course on statistical inference. ([2019])

• Record Type: Book
• Further Information: Note: Bing Li, G. Jogesh Babu.
• Authors: Li, Bing, 1960-; Babu, Gutti Jogesh, 1949-
• Contents: 1. Probability and Random Variables.- 2. Classical Theory of Estimation.- 3. Testing Hypotheses in the Presence of Nuisance Parameters.- 4. Testing Hypotheses in the Presence of Nuisance Parameters.- 5. Basic Ideas of Bayesian Methods.- 6. Bayesian Inference.- 7. Asymptotic Tools and Projections.- 8. Asymptotic Theory for Maximum Likelihood Estimation.- 9. Estimating Equations.- 10. Convolution Theorem and Asymptotic Efficiency.- 11. Asymptotic Hypothesis Test.- References.- Index.
• Publisher Details: New York : Springer
• Publication Date: 2019
• Copyright Date: 2019
• Extent: 1 online resource, illustrations
• Subjects: 519.5/4; Mathematical statistics; Electronic books
• Languages: English
• ISBNs: 9781493997619; 1493997610
• Related ISBNs: 9781493997596
• Notes: Note: Includes bibliographical references and index.; Note: Online resource; title from PDF title page (SpringerLink, viewed August 28, 2019).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.