Online Public Access Catalogue (OPAC)
Library,Documentation and Information Science Division

“A research journal serves that narrow

borderland which separates the known from the unknown”

-P.C.Mahalanobis


Image from Google Jackets

Large sample inference in finite population problems/ Anurag Dey

By: Material type: TextTextPublication details: Kolkata: Indian Statistical Institute, 2024Description: xxvi, 262 pagesSubject(s): DDC classification:
  • 23 SA.081  An636
Online resources:
Contents:
A comparison of estimators of mean and its functions in finite populations -- Estimators of the mean of infinite dimensional data in finite populations -- Quantile processes and their applications in finite populations -- Regression analysis and related estimators in finite populations
Production credits:
  • Guided by Prof. Probal Chaudhuri
Dissertation note: Thesis (Ph.D.)- Indian statistical Institute, 2024 Summary: The main objectives of this thesis is to compare various estimators of finite population parameters under different sampling designs (with no non-response) and superpopulation models, and to identify asymptotically efficient estimators among them. Another objective of this thesis is to understand the role of auxiliary information in the implementation of different sampling designs and in the construction of different estimators.
Tags from this library: No tags from this library for this title. Log in to add tags.
Holdings
Item type Current library Call number Status Notes Date due Barcode Item holds
THESIS ISI Library, Kolkata SA.081 An636 (Browse shelf(Opens below)) Available E-Thesis TH599
Total holds: 0

Thesis (Ph.D.)- Indian statistical Institute, 2024

Includes bibliography

A comparison of estimators of mean and its functions in finite populations -- Estimators of the mean of infinite dimensional data in finite populations -- Quantile processes and their applications in finite populations -- Regression analysis and related estimators in finite populations

Guided by Prof. Probal Chaudhuri

The main objectives of this thesis is to compare various estimators of finite population parameters under different sampling designs (with no non-response) and superpopulation models, and to identify asymptotically
efficient estimators among them. Another objective of this thesis is to understand the role of
auxiliary information in the implementation of different sampling designs and in the construction
of different estimators.

There are no comments on this title.

to post a comment.
Library, Documentation and Information Science Division, Indian Statistical Institute, 203 B T Road, Kolkata 700108, INDIA
Phone no. 91-33-2575 2100, Fax no. 91-33-2578 1412, ksatpathy@isical.ac.in