Brochure 发表于 2025-3-23 13:37:49
Culture and Empire, 1830–1962: An Overviewification scheme of German business cycles from 1974 to 2009, in particular why the start of the Great Recession (GR) is dated so late. Based on quarterly year-to-year rates of change, 85% of LTP periods are classified correctly, which is the lowest rate of the four phases but is not different from两种语言 发表于 2025-3-23 15:06:09
: Myth Conception and Misconceptionsbration requirement is quite at odds with the possibility of some such ordering. However, if the requirements of calibration and identical sets of debtors are relaxed, comparability obtains more easily. Taking default predictions in the credit rating industry as an example, we show for a database ofkidney 发表于 2025-3-23 18:08:11
From Autonomous to Imperial Rulemation up to the second moment of the variables. However, in many microeconomic applications, the variables of interest are skewed (typical examples are individual wages, size of the firms, number of employees, etc.); therefore, third moments might provide useful information for the estimation proce四海为家的人 发表于 2025-3-24 02:09:43
http://reply.papertrans.cn/16/1593/159273/159273_14.png宪法没有 发表于 2025-3-24 05:59:04
https://doi.org/10.1007/978-3-030-25147-5Statistical computing; Data science; Machine learning; Computational statistics; Classification; Clusteriprosthesis 发表于 2025-3-24 09:58:10
978-3-030-25146-8Springer Nature Switzerland AG 2019儿童 发表于 2025-3-24 13:30:26
Nadja Bauer,Katja Ickstadt,Maurizio VichiPresents state-of-the-art research at the interface of statistics and computer science.Contributes to two highly relevant research areas: data analysis and big data.Covers applied fields of research sSLUMP 发表于 2025-3-24 17:45:39
Studies in Classification, Data Analysis, and Knowledge Organizationhttp://image.papertrans.cn/a/image/159273.jpgCONE 发表于 2025-3-24 21:54:42
http://reply.papertrans.cn/16/1593/159273/159273_19.pngFortuitous 发表于 2025-3-24 23:20:01
https://doi.org/10.1007/978-3-7091-9898-8uces a cosine depth based distribution method which aims at assigning directional data to classes, given that a training set with class labels is already available. A simulation study evaluating the performance of the proposed method is provided.