Taylor & Francis GroupTaylor & Francis Group
Search all titles
  • Login
  • Hi, User  
    • Your Account
    • Logout
  • Search all titles
  • Search all collections
Sampling Methodologies with Applications
loading
Sampling Methodologies with Applications

Sampling Methodologies with Applications

ByPoduri S.R.S. Rao
Edition 1st Edition
First Published 2000
eBook Published 29 January 2013
Pub. location New York
Imprint Chapman and Hall/CRC
DOIhttps://doi.org/10.1201/9781466594517
Pages 336 pages
eBook ISBN 9781466594517
SubjectsBehavioral Sciences, Mathematics & Statistics
KeywordsUnbiased Estimator, Ratio Estimator, Simple Random Sample, Appendix A11, Neyman Allocation
Get Citation

Get Citation

Rao, P., Lindsey, J., Zidek, J., Chatfield, C. (2000). Sampling Methodologies with Applications. New York: Chapman and Hall/CRC, https://doi.org/10.1201/9781466594517
ABOUT THIS BOOK

Sampling methods are integral to the design of surveys and experiments, to the validity of results, and thus to the study of statistics, social science, and a variety other disciplines that use statistical data. Yet most of the available texts on the subject are either quite advanced and theoretical or too applied, descriptive, and lacking statistical results.

Sampling Methodologies with Applications offers a balanced, practical treatment of the techniques and applications of the commonly used procedures for sampling from finite populations. It keeps mathematics to a minimum, but does not avoid them entirely: it features the principle results within the text but provides their derivations in the Appendices to each chapter. In an easily followed, step-by-step presentation, the author motivates each topic with illustrations followed by examples and exercises. All of these are constructed from everyday, practical situations covering a wide variety of topics, from scholastic aptitude tests to healthcare expenditures and presidential elections.

Why wade through advanced, theoretical tomes when what you need is straightforward, practical information? Why risk missing important statistical results often omitted from more basic texts? Sampling Methodologies with Applications has everything you need, presented clearly and logically for quick access to topics central to actual practice.

TABLE OF CONTENTS
chapter 1|18 pages
Introduction
View abstract
chapter 2|20 pages
Simple Random Sampling: Estimation of Means and Totals
View abstract
chapter 3|26 pages
Simple Random Sampling: Related Topics
View abstract
chapter 4|18 pages
Proportions, Percentages, and Counts
View abstract
chapter 5|28 pages
Stratification
View abstract
chapter 6|14 pages
Subpopulations
View abstract
chapter 7|28 pages
Cluster Sampling
View abstract
chapter 8|22 pages
Sampling in Two Stages
View abstract
chapter 9|24 pages
Ratios and Ratio Estimators
View abstract
chapter 10|16 pages
Regression Estimation
View abstract
chapter 11|30 pages
Nonresponse and Remedies
View abstract
chapter 12|16 pages
Further Topics
View abstract

Sampling methods are integral to the design of surveys and experiments, to the validity of results, and thus to the study of statistics, social science, and a variety other disciplines that use statistical data. Yet most of the available texts on the subject are either quite advanced and theoretical or too applied, descriptive, and lacking statistical results.

Sampling Methodologies with Applications offers a balanced, practical treatment of the techniques and applications of the commonly used procedures for sampling from finite populations. It keeps mathematics to a minimum, but does not avoid them entirely: it features the principle results within the text but provides their derivations in the Appendices to each chapter. In an easily followed, step-by-step presentation, the author motivates each topic with illustrations followed by examples and exercises. All of these are constructed from everyday, practical situations covering a wide variety of topics, from scholastic aptitude tests to healthcare expenditures and presidential elections.

Why wade through advanced, theoretical tomes when what you need is straightforward, practical information? Why risk missing important statistical results often omitted from more basic texts? Sampling Methodologies with Applications has everything you need, presented clearly and logically for quick access to topics central to actual practice.

TABLE OF CONTENTS
chapter 1|18 pages
Introduction
View abstract
chapter 2|20 pages
Simple Random Sampling: Estimation of Means and Totals
View abstract
chapter 3|26 pages
Simple Random Sampling: Related Topics
View abstract
chapter 4|18 pages
Proportions, Percentages, and Counts
View abstract
chapter 5|28 pages
Stratification
View abstract
chapter 6|14 pages
Subpopulations
View abstract
chapter 7|28 pages
Cluster Sampling
View abstract
chapter 8|22 pages
Sampling in Two Stages
View abstract
chapter 9|24 pages
Ratios and Ratio Estimators
View abstract
chapter 10|16 pages
Regression Estimation
View abstract
chapter 11|30 pages
Nonresponse and Remedies
View abstract
chapter 12|16 pages
Further Topics
View abstract
CONTENTS
ABOUT THIS BOOK

Sampling methods are integral to the design of surveys and experiments, to the validity of results, and thus to the study of statistics, social science, and a variety other disciplines that use statistical data. Yet most of the available texts on the subject are either quite advanced and theoretical or too applied, descriptive, and lacking statistical results.

Sampling Methodologies with Applications offers a balanced, practical treatment of the techniques and applications of the commonly used procedures for sampling from finite populations. It keeps mathematics to a minimum, but does not avoid them entirely: it features the principle results within the text but provides their derivations in the Appendices to each chapter. In an easily followed, step-by-step presentation, the author motivates each topic with illustrations followed by examples and exercises. All of these are constructed from everyday, practical situations covering a wide variety of topics, from scholastic aptitude tests to healthcare expenditures and presidential elections.

Why wade through advanced, theoretical tomes when what you need is straightforward, practical information? Why risk missing important statistical results often omitted from more basic texts? Sampling Methodologies with Applications has everything you need, presented clearly and logically for quick access to topics central to actual practice.

TABLE OF CONTENTS
chapter 1|18 pages
Introduction
View abstract
chapter 2|20 pages
Simple Random Sampling: Estimation of Means and Totals
View abstract
chapter 3|26 pages
Simple Random Sampling: Related Topics
View abstract
chapter 4|18 pages
Proportions, Percentages, and Counts
View abstract
chapter 5|28 pages
Stratification
View abstract
chapter 6|14 pages
Subpopulations
View abstract
chapter 7|28 pages
Cluster Sampling
View abstract
chapter 8|22 pages
Sampling in Two Stages
View abstract
chapter 9|24 pages
Ratios and Ratio Estimators
View abstract
chapter 10|16 pages
Regression Estimation
View abstract
chapter 11|30 pages
Nonresponse and Remedies
View abstract
chapter 12|16 pages
Further Topics
View abstract

Sampling methods are integral to the design of surveys and experiments, to the validity of results, and thus to the study of statistics, social science, and a variety other disciplines that use statistical data. Yet most of the available texts on the subject are either quite advanced and theoretical or too applied, descriptive, and lacking statistical results.

Sampling Methodologies with Applications offers a balanced, practical treatment of the techniques and applications of the commonly used procedures for sampling from finite populations. It keeps mathematics to a minimum, but does not avoid them entirely: it features the principle results within the text but provides their derivations in the Appendices to each chapter. In an easily followed, step-by-step presentation, the author motivates each topic with illustrations followed by examples and exercises. All of these are constructed from everyday, practical situations covering a wide variety of topics, from scholastic aptitude tests to healthcare expenditures and presidential elections.

Why wade through advanced, theoretical tomes when what you need is straightforward, practical information? Why risk missing important statistical results often omitted from more basic texts? Sampling Methodologies with Applications has everything you need, presented clearly and logically for quick access to topics central to actual practice.

TABLE OF CONTENTS
chapter 1|18 pages
Introduction
View abstract
chapter 2|20 pages
Simple Random Sampling: Estimation of Means and Totals
View abstract
chapter 3|26 pages
Simple Random Sampling: Related Topics
View abstract
chapter 4|18 pages
Proportions, Percentages, and Counts
View abstract
chapter 5|28 pages
Stratification
View abstract
chapter 6|14 pages
Subpopulations
View abstract
chapter 7|28 pages
Cluster Sampling
View abstract
chapter 8|22 pages
Sampling in Two Stages
View abstract
chapter 9|24 pages
Ratios and Ratio Estimators
View abstract
chapter 10|16 pages
Regression Estimation
View abstract
chapter 11|30 pages
Nonresponse and Remedies
View abstract
chapter 12|16 pages
Further Topics
View abstract
ABOUT THIS BOOK
ABOUT THIS BOOK

Sampling methods are integral to the design of surveys and experiments, to the validity of results, and thus to the study of statistics, social science, and a variety other disciplines that use statistical data. Yet most of the available texts on the subject are either quite advanced and theoretical or too applied, descriptive, and lacking statistical results.

Sampling Methodologies with Applications offers a balanced, practical treatment of the techniques and applications of the commonly used procedures for sampling from finite populations. It keeps mathematics to a minimum, but does not avoid them entirely: it features the principle results within the text but provides their derivations in the Appendices to each chapter. In an easily followed, step-by-step presentation, the author motivates each topic with illustrations followed by examples and exercises. All of these are constructed from everyday, practical situations covering a wide variety of topics, from scholastic aptitude tests to healthcare expenditures and presidential elections.

Why wade through advanced, theoretical tomes when what you need is straightforward, practical information? Why risk missing important statistical results often omitted from more basic texts? Sampling Methodologies with Applications has everything you need, presented clearly and logically for quick access to topics central to actual practice.

TABLE OF CONTENTS
chapter 1|18 pages
Introduction
View abstract
chapter 2|20 pages
Simple Random Sampling: Estimation of Means and Totals
View abstract
chapter 3|26 pages
Simple Random Sampling: Related Topics
View abstract
chapter 4|18 pages
Proportions, Percentages, and Counts
View abstract
chapter 5|28 pages
Stratification
View abstract
chapter 6|14 pages
Subpopulations
View abstract
chapter 7|28 pages
Cluster Sampling
View abstract
chapter 8|22 pages
Sampling in Two Stages
View abstract
chapter 9|24 pages
Ratios and Ratio Estimators
View abstract
chapter 10|16 pages
Regression Estimation
View abstract
chapter 11|30 pages
Nonresponse and Remedies
View abstract
chapter 12|16 pages
Further Topics
View abstract

Sampling methods are integral to the design of surveys and experiments, to the validity of results, and thus to the study of statistics, social science, and a variety other disciplines that use statistical data. Yet most of the available texts on the subject are either quite advanced and theoretical or too applied, descriptive, and lacking statistical results.

Sampling Methodologies with Applications offers a balanced, practical treatment of the techniques and applications of the commonly used procedures for sampling from finite populations. It keeps mathematics to a minimum, but does not avoid them entirely: it features the principle results within the text but provides their derivations in the Appendices to each chapter. In an easily followed, step-by-step presentation, the author motivates each topic with illustrations followed by examples and exercises. All of these are constructed from everyday, practical situations covering a wide variety of topics, from scholastic aptitude tests to healthcare expenditures and presidential elections.

Why wade through advanced, theoretical tomes when what you need is straightforward, practical information? Why risk missing important statistical results often omitted from more basic texts? Sampling Methodologies with Applications has everything you need, presented clearly and logically for quick access to topics central to actual practice.

TABLE OF CONTENTS
chapter 1|18 pages
Introduction
View abstract
chapter 2|20 pages
Simple Random Sampling: Estimation of Means and Totals
View abstract
chapter 3|26 pages
Simple Random Sampling: Related Topics
View abstract
chapter 4|18 pages
Proportions, Percentages, and Counts
View abstract
chapter 5|28 pages
Stratification
View abstract
chapter 6|14 pages
Subpopulations
View abstract
chapter 7|28 pages
Cluster Sampling
View abstract
chapter 8|22 pages
Sampling in Two Stages
View abstract
chapter 9|24 pages
Ratios and Ratio Estimators
View abstract
chapter 10|16 pages
Regression Estimation
View abstract
chapter 11|30 pages
Nonresponse and Remedies
View abstract
chapter 12|16 pages
Further Topics
View abstract
Taylor & Francis Group
Policies
  • Privacy Policy
  • Terms & Conditions
  • Cookie Policy
Journals
  • Taylor & Francis Online
  • CogentOA
Corporate
  • Taylor & Francis
    Group
  • Taylor & Francis Group
Help & Contact
  • Students/Researchers
  • Librarians/Institutions

Connect with us

Registered in England & Wales No. 3099067
5 Howick Place | London | SW1P 1WG © 2018 Informa UK Limited