Journal of Survey Statistics and Methodology
| 短名 | J. Surv. Stat. Methodol. |
| Journal Impact | 1.67 |
| 国际分区 | STATISTICS & PROBABILITY(Q1) |
| 期刊索引 | SCI Q1中科院 4 区 |
| ISSN | 2325-0984, 2325-0992 |
| h-index | 24 |
| 国内分区 | 数学(4区)数学社会科学数理方法(3区)数学统计学与概率论(3区) |
The Journal of Survey Statistics and Methodology, sponsored by AAPOR and the American Statistical Association, began publishing in 2013. Its objective is to publish cutting edge scholarly articles on statistical and methodological issues for sample surveys, censuses, administrative record systems, and other related data. It aims to be the flagship journal for research on survey statistics and methodology. Topics of interest include survey sample design, statistical inference, nonresponse, measurement error, the effects of modes of data collection, paradata and responsive survey design, combining data from multiple sources, record linkage, disclosure limitation, and other issues in survey statistics and methodology. The journal publishes both theoretical and applied papers, provided the theory is motivated by an important applied problem and the applied papers report on research that contributes generalizable knowledge to the field. Review papers are also welcomed. Papers on a broad range of surveys are encouraged, including (but not limited to) surveys concerning business, economics, marketing research, social science, environment, epidemiology, biostatistics and official statistics. The journal has three sections. The Survey Statistics section presents papers on innovative sampling procedures, imputation, weighting, measures of uncertainty, small area inference, new methods of analysis, and other statistical issues related to surveys. The Survey Methodology section presents papers that focus on methodological research, including methodological experiments, methods of data collection and use of paradata. The Applications section contains papers involving innovative applications of methods and providing practical contributions and guidance, and/or significant new findings.
期刊主页| 涉及主题 | 计算机科学数学统计经济计量经济学物理医学社会学工程类心理学哲学人口学政治学法学环境卫生人口业务机器学习 |
| 出版信息 | 出版商: Oxford University Press，出版周期: ，期刊类型: journal |
| 基本数据 | 创刊年份: 2013，原创研究文献占比: 98.21%，自引率:18.80%， Gold OA占比: 19.10% |
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