Survey Statistics and Survey Sampling: Challenges and Opportunities
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Probability and Statistics".
Deadline for manuscript submissions: 31 May 2024 | Viewed by 2433
Special Issue Editor
Interests: Bayesian statistics; survey sampling and inference; missing data imputation; causal inference; confidentiality protection
Special Issue Information
Dear Colleagues,
Survey sampling is a primary technique to generate official statistics, and the analytic use of survey data has spread across government agencies, research institutions and private sectors. Sampling is the selection of a subset (a statistical sample) of individuals from the target population to estimate the characteristics of the whole population. Statisticians attempt to collect samples that are representative of the population in question. However, nonresponse is inevitable. Statistical models, such as those for nonresponse adjustment and for small area estimation, are important components of survey statistics. As a result, the overlap between survey sampling and other areas of statistics has increased, and the mutual dependence makes it important that survey sampling be an integral part of statistics. Originally, survey sampling was differentiated from other areas by the size of the data sets and by the number of estimates produced. In such settings survey statisticians prefer techniques with broad applicability and robustness with a minimum of assumptions. Results from probability theory and statistical theory are employed to guide the practice. The recent increase in data collection costs and nonresponse rates challenges the application of probability sample surveys. Necessary precautions are taken to reduce sampling and measurement errors and yield valid and reliable information.
The Special Issue aims to publish in as much detail as possible scientific advances in the field of Survey Statistics and Survey Sampling Theory and Methods. Both original research and review papers are encouraged.
Potential topics include, but are not limited to, the following:
- Probability sampling methods;
- Non-probability sampling methods;
- Nonresponse bias adjustment;
- The use of administrative data;
- Combining multiple data sources;
- Small area estimation;
- Missing data methods;
- Bayesian survey estimation;
- Respondent-drive sampling.
Dr. Yajuan Si
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
