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A Course in Mathematical Statistics and Large Sample Theory (Hardcover, 1st ed. 2016)
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A Course in Mathematical Statistics and Large Sample Theory (Hardcover, 1st ed. 2016)
Series: Springer Texts in Statistics
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This graduate-level textbook is primarily aimed at graduate
students of statistics, mathematics, science, and engineering who
have had an undergraduate course in statistics, an upper division
course in analysis, and some acquaintance with measure theoretic
probability. It provides a rigorous presentation of the core of
mathematical statistics. Part I of this book constitutes a
one-semester course on basic parametric mathematical statistics.
Part II deals with the large sample theory of statistics -
parametric and nonparametric, and its contents may be covered in
one semester as well. Part III provides brief accounts of a number
of topics of current interest for practitioners and other
disciplines whose work involves statistical methods.
General
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