A Course In Mathematical Statistics And Large Sample Theory (springer Texts In Statistics)
by Rabi Bhattacharya /
2016 / English / PDF
12.2 MB Download
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.
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.
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.