00000nam a22000004a 4500 UP-8027390931311285598 Buklod 20241202083002.0 m |o d | ta 241011s2021 xxu r |||| u|eng d 9789811590023 DSTC rda eng QA 276 D47 2021 Deshmukh, Shailaja Author Springer Asymptotic statistical inference a basic course using R Shailaja Deshmukh, Madhuri Kulkarni. Springer, Singapore, 2021 xvii, 529 pages 24 cm Includes index Chapter 1: Introduction.- Chapter 2: Consistency of an Estimator.- Chapter 3: Consistent and Asymptotically Normal Estimators.- Chapter 4: CAN Estimators in Exponential and Cramer Families.- Chapter 5: Large Sample Test Procedures.- Chapter 6: Goodness of Fit Test and Tests for Contingency Tables.- Chapter 7: Solutions to Conceptual Exercises. The book presents the fundamental concepts from asymptotic statistical inference theory, elaborating on some basic large sample optimality properties of estimators and some test procedures. The book also discusses a score test and Wald’s test, their relationship with the likelihood ratio test and Karl Pearson’s chi-square test. COMPUTERS / Mathematical & Statistical Software MATHEMATICS / Probability & Statistics / General. Kulkarni, Madhuri Author. FO UPD DSTC QA 276 D47 2021 Book