𝔖 Scriptorium
✦   LIBER   ✦

πŸ“

A Course in Large Sample Theory: Texts in Statistical Science

✍ Scribed by Thomas S. Ferguson


Year
1996
Tongue
English
Leaves
253
Edition
1
Category
Library

⬇  Acquire This Volume

No coin nor oath required. For personal study only.

✦ Synopsis


A Course in Large Sample Theory is presented in four parts. The first treats basic probabilistic notions, the second features the basic statistical tools for expanding the theory, the third contains special topics as applications of the general theory, and the fourth covers more standard statistical topics. Nearly all topics are covered in their multivariate setting.The book is intended as a first year graduate course in large sample theory for statisticians. It has been used by graduate students in statistics, biostatistics, mathematics, and related fields. Throughout the book there are many examples and exercises with solutions. It is an ideal text for self study.


πŸ“œ SIMILAR VOLUMES


A Course in Large Sample Theory: Texts i
✍ Thomas S. Ferguson πŸ“‚ Library πŸ“… 1996 🌐 English

A Course in Large Sample Theory is presented in four parts. The first treats basic probabilistic notions, the second features the basic statistical tools for expanding the theory, the third contains special topics as applications of the general theory, and the fourth covers more standard statistica

A Course in the Large Sample Theory of S
✍ W. Jackson Hall, David Oakes πŸ“‚ Library πŸ“… 2023 πŸ› CRC 🌐 English

<p><span>This book provides an accessible but rigorous introduction to asymptotic theory in parametric statistical models. Asymptotic results for estimation and testing are derived using the β€œmoving alternative” formulation due to R. A. Fisher and L. Le Cam. Later chapters include discussions of lin

A Course in Mathematical Statistics and
✍ Bhattacharya, Rabindra Nath; Lin, Lizhen; Patrangenaru, Victor πŸ“‚ Library πŸ“… 2016 πŸ› Springer 🌐 English

<div>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 pr

A Course in Mathematical Statistics and
✍ Rabi Bhattacharya, Lizhen Lin, Victor Patrangenaru (auth.) πŸ“‚ Library πŸ“… 2016 πŸ› Springer-Verlag New York 🌐 English

<p>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 pres

A Course in Large Sample Theory
✍ Thomas S. Ferguson πŸ“‚ Library πŸ“… 1996 πŸ› Chapman and Hall/CRC 🌐 English

A Course in Large Sample Theory is presented in four parts. The first treats basic probabilistic notions, the second features the basic statistical tools for expanding the theory, the third contains special topics as applications of the general theory, and the fourth covers more standard statistical