Mon premier blog

A course in large sample theory by Thomas S. Ferguson

A course in large sample theory Thomas S. Ferguson ebook
Page: 247
Format: djvu
Publisher: Chapman & Hall
ISBN: 0412043718, 9780412043710

Jiming Jiang is a Professor of Statistics at the University of California, Davis. A Course in Large Sample Theory. A course in large sample theory. On the like-lihood ratio test for the number of factors in exploratory factor analysis. Rics, Harvard University Press, and Ferguson A Course in Large Sample Theory, Chapman and Hall. Key Words: Large-sample theory, Statistical computing. ˆ� whether statistics converge to certain quantities The following textbooks are strongly recommended because they are highly relevant to the material taught in this course. The book is supplemented by a large number of exercises, giving the readers plenty of opportunities to practice what A first course in mathematical statistics and a course in calculus are prerequisites. A Course in Large Sample Theory (Chapman & Hall/CRC Texts in Statistical Science) . The main interests have so far been concerntrated in. A series of examples used in a course on large-sample theory illustrates this thesis. Bernardo, J.M., & Smith, A.F.M. The sections of case studies and chapters of applications fully demonstrate how to use methods developed from large sample theory in various, less-than-textbook situations. €�On an Absolute Criterion for Fitting Frequency Curves. Large sample theory introduces mainly the behaviors of statistics when the sample size (as mostly encountered) or the size of a population (as in sample survey) runs to infinity. ( ISBN 0-471-92416-4) Ferguson, T.S. Structural Equation Modeling, 14, 505-526.