A course in large sample theory Thomas S. Ferguson
Publisher: Chapman & Hall

Some of the Chapter 8 material came from a reading course in Large. Feuerverger, A., A consistent test for bivariate dependence. You'll need to learn something about asymptotics at some point, and a good starting place is: 3.) Lehmann, E. A Course in Large Sample Theory. A Course in Large Sample Theory (CRC/C&h Texts in Statistical Science) by Thomas S. A Course in Large Sample Theory, Chapman and. Ferguson, T.S., A Course in Large Sample Theory. "Elements of Large-Sample Theory" Springer. Sample Theory taught to SIU students on two occasions. The link is: http://www.math.ucla.edu/%7Etom/LST/lst.html I need help in solving some problems in section 5, 8, and 14. Asymptotic distribution theory is the primary method used to examine the properties of econometric Of course, asymptotic results are sensitive to the accuracy of shorter for that estimator in large samples, suggesting preference for its use in. "A Course in Large Sample Theory" Chapman & Hall/CRC. A total of 24 graduate course units (courses) including: MATH 447 STAT 426 - Sampling and Categorical Data. Lehmann is a very big name in Stats. This is the textbook we used for Large-sample theory course. A unified approach to maximum likelihood inference for a broad, new class of contingency table models is presented. But this book does not match his name. STAT 427 STAT 575 - Large Sample Theory.