{"title":"使用马尔可夫模型探索商业调查数据的动态","authors":"Werner Hölzl, S. Kaniovski, Y. Kaniovski","doi":"10.1007/s10287-019-00354-4","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":46743,"journal":{"name":"Computational Management Science","volume":"16 1","pages":"621 - 649"},"PeriodicalIF":1.3000,"publicationDate":"2019-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s10287-019-00354-4","citationCount":"3","resultStr":"{\"title\":\"Exploring the dynamics of business survey data using Markov models\",\"authors\":\"Werner Hölzl, S. Kaniovski, Y. Kaniovski\",\"doi\":\"10.1007/s10287-019-00354-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":46743,\"journal\":{\"name\":\"Computational Management Science\",\"volume\":\"16 1\",\"pages\":\"621 - 649\"},\"PeriodicalIF\":1.3000,\"publicationDate\":\"2019-07-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1007/s10287-019-00354-4\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computational Management Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s10287-019-00354-4\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"SOCIAL SCIENCES, MATHEMATICAL METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computational Management Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s10287-019-00354-4","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"SOCIAL SCIENCES, MATHEMATICAL METHODS","Score":null,"Total":0}
期刊介绍:
Computational Management Science (CMS) is an international journal focusing on all computational aspects of management science. These include theoretical and empirical analysis of computational models; computational statistics; analysis and applications of constrained, unconstrained, robust, stochastic and combinatorial optimisation algorithms; dynamic models, such as dynamic programming and decision trees; new search tools and algorithms for global optimisation, modelling, learning and forecasting; models and tools of knowledge acquisition.
The emphasis on computational paradigms is an intended feature of CMS, distinguishing it from more classical operations research journals.
Officially cited as: Comput Manag Sci