列表:数学方法和社会科学 知网目次 | 2 条记录 |
1 Mathematical Finance《数理金融》(官网投稿)
复合影响因子:0.0000,收录:知网目次,维普目次 ,英语
Mathematical Finance《数理金融》(季刊). Mathematical Finance aims to serve as a forum for mathematical scientists, financial practitioners and financial economists. Papers should be written in a style accessible to this broad readership. Authors of theoretical papers should describe the motivation and description of the main results and their relevance to finance. Authors of papers focused on applications should present their work in a style accessible to readers who may have less acquaintance with the specific application addressed. Submissions should be presented in a mathematically rigorous style and will be evaluated according to their methodological novelty and their contribution to financial modelling. The suitability of a submission will hinge on the novelty of its approach and the resulting financial insights, rather than its level of mathematical sophistication. Innovative contributions addressing fundamental research questions are highly encouraged. Doctoral students are encouraged to submit contributions to the journal.
复合影响因子:0.0000,收录:知网目次,维普目次 ,英语
Journal of Survey Statistics and Methodology《调查统计与方法学杂志》(一年5期). 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, comparisons of probability and nonprobability samples, statistical inference, nonresponse, questionnaire design, pretesting, measurement error, the effects of modes of data collection, interviewer effects, paradata and responsive survey design, use of administrative records for population inference, use of organic or social media data for population inference, combining data from multiple sources, record linkage, disclosure limitation, and other issues in survey statistics and methodology.