Modern Survey Sampling: 1st Edition (Hardback) book cover

Modern Survey Sampling

1st Edition

By Arijit Chaudhuri

Chapman and Hall/CRC

280 pages

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pub: 2014-06-23
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Description

Starting from the preliminaries and ending with live examples, Modern Survey Sampling details what a sample can communicate about an unknowable aggregate in a real situation. The author lucidly develops and presents numerous approaches. He details recent developments and explores fresh and unseen problems, hitting upon possible solutions.

The text covers current research output in a student-friendly manner with attractive illustrations. It introduces sampling and discusses how to select a sample for which a selection-probability is specified to prescribe its performance characteristics. The author then explains how to examine samples with varying probabilities to derive profits. He then examines how to use partial segments to make reasonable guesses about a sample’s behavior and assess the elements of discrepancies.

Including case studies, exercises, and solutions, the book highlights special survey techniques needed to capture trustworthy data and put it to intelligent use. It then discusses the model-assisted approach and network sampling, before moving on to speculating about random processes. The author draws on his extensive teaching experience to create a textbook that gives your students a thorough grounding in the technologies of survey sampling and modeling and also provides you with the tools to teach them.

Reviews

"… recommended to mathematicians and statisticians seeking an in-depth understanding in methodology …"

—Iris Burkholder, Zentralblatt MATH 1296

Table of Contents

Exposure to Sampling

Abstract

Introduction

Concepts of Population, Sample, and Sampling

Initial Ramifications

Abstract

Introduction

Sampling Design, Sampling Scheme

Random Numbers and Their Uses in Simple RandomSampling (SRS)

Drawing Simple Random Samples with and withoutReplacement

Estimation of Mean, Total, Ratio of Totals/Means:Variance and Variance Estimation

Determination of Sample Sizes

A.2 Appendix to Chapter 2

A.More on Equal Probability Sampling

A.Horvitz-Thompson Estimator

A.Sufficiency

A.Likelihood

A.Non-Existence Theorem

More Intricacies

Abstract

Introduction

Unequal Probability Sampling Strategies

PPS Sampling

Exploring Improved Ways

Abstract

Introduction

Stratified Sampling

Cluster Sampling

Multi-Stage Sampling

Multi-Phase Sampling: Ratio and RegressionEstimation

viiviii ContentsControlled Sampling

Modeling

Introduction

Super-Population Modeling

Prediction Approach

Model-Assisted Approach

Bayesian Methods

Spatial Smoothing

Sampling on Successive Occasions: Panel Rotation

Non-Response and Not-at-Homes

Weighting Adjustments and Imputation

5.10 Time Series Approach in Repeated Sampling

Stigmatizing Issues

Abstract

Introduction

Early Growth of RR and the Current Status

Optional Randomized Response Techniques

Indirect Questioning

Developing Small Domain Statistics

Abstract

Introduction

Some Details

Network and Adaptive Procedures

Abstract

Introduction

Estimation by Network Sampling and Estimationby Adaptive Sampling

Constraining Network Sampling and ConstrainingAdaptive Sampling

Analytical Methods

Abstract

Analytical Surveys: Contingency Tables

A.1 Reviews and Further Openings

A.2 Case Studies

A.3 Exercises and Solutions Supplementaries

References

Author Index

Subject Index

About the Originator

Subject Categories

BISAC Subject Codes/Headings:
MAT029000
MATHEMATICS / Probability & Statistics / General