Topic
Systematic sampling
About: Systematic sampling is a research topic. Over the lifetime, 1331 publications have been published within this topic receiving 40726 citations. The topic is also known as: interval sampling.
Papers published on a yearly basis
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Papers
TL;DR: In this paper, two sampling schemes are discussed in connection with the problem of determining optimum selection probabilities according to the information available in a supplementary variable, which is a general technique for the treatment of samples drawn without replacement from finite universes when unequal selection probabilities are used.
Abstract: This paper presents a general technique for the treatment of samples drawn without replacement from finite universes when unequal selection probabilities are used. Two sampling schemes are discussed in connection with the problem of determining optimum selection probabilities according to the information available in a supplementary variable. Admittedly, these two schemes have limited application. They should prove useful, however, for the first stage of sampling with multi-stage designs, since both permit unbiased estimation of the sampling variance without resorting to additional assumptions. * Journal Paper No. J2139 of the Iowa Agricultural Experiment Station, Ames, Iowa, Project 1005. Presented to the Institute of Mathematical Statistics, March 17, 1951.
4,316 citations
Book•
22 May 1997TL;DR: This book presents the principles of Estimation for Finite Populations and Important Sampling Designs and a Broader View of Errors in Surveys: Nonsampling Errors and Extensions of Probability Sampling Theory.
Abstract: PART I: Principles of Estimation for Finite Populations and Important Sampling Designs: Survey Sampling in Theory and Practice. Basic Ideas in Estimation from Probability Samples. Unbiased Estimation for Element Sampling Designs. Unbiased Estimation for Cluster Sampling and Sampling in Two or More Stages. Introduction to More Complex Estimation Problems.- PART II: Estimation through Linear Modeling, Using Auxiliary Variables: The Regression Estimator. Regression Estimators for Element Sampling Designs. Regression Estimators for Cluster Sampling and Two-Stage Sampling.- PART III: Further Questions in Design and Analysis of Surveys: Two-Phase Sampling. Estimation for Domains. Variance Estimation. Searching for Optimal Sampling Designs. Further Statistical Techniques for Survey Data.- PART IV: A Broader View of Errors in Surveys: Nonsampling Errors and Extensions of Probability Sampling Theory. Nonresponse. Measurement Errors. Quality Declarations for Survey Data.- Appendix A - D.- References.
3,748 citations
Book•
1 Jan 1987
TL;DR: In this paper, the authors proposed three-stage sampling: simple random sampling, two stage sampling and three stage sampling, and two-stage and double sampling, respectively, to estimate the mean and variance from censored data sets.
Abstract: Sampling Environmental Populations. Environmental Sampling Design. Simple Random Sampling. Stratified Random Sampling. Two-Stage Sampling. Compositing and Three-Stage Sampling. Systematic Sampling. Double Sampling. Locating Hot Spots. Quantiles, Proportions, and Means. Skewed Distributions and Goodness-of-Fit Tests. Characterizing Lognormal Populations. Estimating the Mean and Variance from Censored Data Sets. Outlier Detection and Control Charts. Detecting and Estimating Trends. Trends and Seasonality. Comparing Populations. Appendices. Symbols. Glossary. Bibliography. Index.
2,278 citations
Book•
29 Jun 2009
TL;DR: In this paper, the authors discuss the use of sample surveys in estimating the proportion of the population to the sample population in a complex sample survey, and present several sample survey design and estimation methods.
Abstract: Tables. Boxes. Figures. Getting Files from the Wiley ftp and Internet Sites. List of Data Sites Provides on Web Site. Preface to the Fourth Edition. Part 1: Basic Concepts. 1. Use of Sample Surveys. 2. The Population and the Sample. Part 2: Major Sampling Designs and Estimation Procedures. 3. Simple Random Sampling. 4. Systematic Sampling. 5. Stratification and Stratified Random Sampling. 6. Stratified Random Sampling: Further Issues. 7. Ratio Estimation. 8. Cluster Sampling: Introduction and Overview. 9. Simple One-Stage Cluster Sampling. 10. Two-Stage Cluster Sampling: Clusters Sampled with Equal Probability. 11. Cluster Sampling in Which Clusters Are Sampled with Unequal Probability: Probability Proportional to Size Sampling. 12. Variance Estimation in Complex Sample Surveys. Part 3: Selected Topics in Sample Survey Methodology. 13. Nonresponse and Missing Data in Sample Surveys. 14. Selected Topics in Sample Design and Estimation Methodology. 15. Telephone Survey Sampling (Michael W. Link and Mansour Fahimi). 16. Constructing the Survey Weights (Paul P. Biemer and Sharon L. Christ). 17. Strategies for Design-Based Analysis of Sample Survey Data. Appendix. Answers to Selected Exercises. Index.
1,687 citations
TL;DR: It is emphasized that the relevant estimation procedure depends on the sampling density, and the validity of the variance estimation is examined in a collection of data sets, obtained by systematic sampling.
Abstract: In the present paper, we summarize and further develop recent reseach in the estimation of the variance of sterelogical estimators based on systematic sampling. In particular, it is emphasized that the relevant estimation procedure depends on the sampling density. The validity of the variance estimation is examined in a collection of data sets, obtained by systematic sampling. Practical recommendations are also provided in a separate section.
1,350 citations
Related Topics (5)
Performance Metrics
| Year | Papers |
|---|---|
| 2025 | 28 |
| 2024 | 52 |
| 2023 | 55 |
| 2022 | 87 |
| 2021 | 33 |
| 2020 | 45 |