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

Hence, the dependence condition (2.3) allows a stronger dependence within a larger class of random variables and demands more independence within a smaller class. ( ISBN 0-471-92416-4) Ferguson, T.S. The theoretical concepts: validity, reliability, backwash (or washback). Key Words: Large-sample theory, Statistical computing. Ferguson, A Course in Large Sample Theory, Chapman & Hall, New York, NY, USA, 1996. A series of examples used in a course on large-sample theory illustrates this thesis. Bernardo, J.M., & Smith, A.F.M. The central limit theorem is one of the most remarkable results of the theory of probability [1], which is critical to understand inferential statistics and hypothesis testing [2, 3]. The course also introduces students to large sample theory. Think of one or more The ozone layer filters out a large proportion of the sun's ultra-violet rays and thus protects us from the . A Course in Large Sample Theory is presented in four parts. Unit Three: Literature (1): should it be included in the course?