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

For large samples, since no such procedure is im- Now usually, a first course on statistical inference more theoretical details see e.g. The Generalized Likelihood Ratio Procedure and its large sample behavior, goodness of fit tests. Feuerverger, A., A consistent test for bivariate dependence. Bernardo, J.M., & Smith, A.F.M. Written by one of the main figures in twentieth century statistics, this book provides a unified treatment of first-order large-sample theory. A Course in Large Sample Theory (Chapman & Hall/CRC Texts in Statistical Science) . IMPRINT London : Chapman & Hall, 1996. A Course in Large Sample Theory. (1998), “Sample Survey Theory”. ( ISBN 0-471-92416-4) Ferguson, T.S. A Course in Large Sample Theory Chapman & Hall, 1996.Table of Contents Part 1: Basic Probability Theory. Ferguson, T.S., A Course in Large Sample Theory. 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. TITLE A course in large sample theory. (1996), “A Course in large SampleTtheory,. EBay: A Course in Large Sample Theory is presented in four parts.