Маркетинговые исследования. Теория и практика : учебник для вузов. – 2-е издание переработанное и дополненное
A class of distribution free multiple decision statistical procedures is proposed for threshold graph identification in correlation networks. The decision procedures are based on simultaneous application of sign statistics. It is proved that single step, step down Holm and step up Hochberg statistical procedures for threshold graph identification are distribution free in sign similarity network in the class of elliptically contoured distributions. Moreover it is shown that these procedures can be adapted for distribution free threshold graph identification in Pearson correlation network.
The 13rd IEEE International Conference on Data Mining (IEEE ICDM 2013) has solicited workshops on topics related to new research directions and novel applications of data mining. The goal of the ICDM workshops program (IEEE ICDMW) is to identify grand challenges in data mining, to explore the possible paths to address these urgent problems, and to solicit broad participation from the data mining community and other relevant research communities. IEEE ICDMW 2013 was held on December 7 in Dallas, Texas, USA, and was immediately followed by IEEE ICDM 2013. This year, we have received 41 workshop proposals, a 141% increase from the number of proposals in the previous year. Of those submissions, 26 workshop proposals were accepted through a thorough review by the ICDMW workshop organization committee. 18 workshops eventually made their way to prepare their workshop programs after a rigorous paper review process. The final program consisted of 13 full-day workshops and 5 halfday workshops. Overall, the ICDMW Program received 364 submissions, which is a 19% increase from the number of submissions in the previous year. Of those submissions, 183 papers were accepted. The workshop proposal acceptance rate is about 44%, and the workshop papers acceptance rate is about 50%. The highly competitive acceptance rates have resulted in the highquality and exciting ICDMW proceedings. IEEE ICDMW 2013 covered many new research and application areas as well as fundamental data mining topics. The traditional and fundamental disciplines included spatial and spatiotemporal data mining, optimization, concept drift, domain driven data mining, opinion mining, and sentiment analysis. Emerging disciplines included high-dimensional data mining, causal discovery, cloud and distributed computing, data mining in service applications, and of course, big data. IEEE ICDMW 2013 provided discussion forums for exciting applications including biological data mining in healthcare, data mining in networks, data privacy, and data mining case studies. The ICDMW Program also explored new areas of data markets in sciences and businesses, data mining in experimental economics, and data mining in astronomical problems. Many people worked together in organizing IEEE ICDMW 2013. We would like to thank all workshop organizers for the high-quality workshop proposals received. The workshop organizers are the key to the success of the ICDMW program. We should thank them all for their tremendous effort putting together 18 exciting workshops in the final program.
Among the negative predictors of sexual freedom, cultural complexity has been always mentioned as most important. However, regression analysis revealed the existence of a reverse trend within the interval between 11 and 22 points of Murdock's cumulative scale of cultural complexity. This suggests that it is senseless to try to find a general set of regularities regarding the correlation between cultural complexity and sexual freedom. One would expect to find different sets of regularities for simple, medium-complexity, complex and supercomplex cultures. In this paper we begin with a summary analysis of research conducted on simple societies, suggesting a model of relationships between cultural complexity and female premarital sexual freedom among foragers. We suggest that the underlying variable in this model is foraging intensification. This intensification appears to be one of the most important preconditions for the significant growth of cultural complexity among the foragers. As shown in the ethnographic record, this intensification mostly occurs through the development of hunting and/or fishing practices (i.e. in most cases predominantly male activities). This tends to lead to a decline in female contribution to subsistence which, in turn, appears to lead to the societal decline of female status. This, the general argument goes, contributes to the decrease of the female premarital sexual freedom. On the other hand, we argue that this is not the only mechanism explaining the negative correlation between cultural complexity and female premarital sexual freedom among foragers. The intensification of a foraging economy tends to lead to the rise of the wealth accumulation, and the growth of cultural complexity components such as the development of a medium of exchange and social stratification. This situation seems to “entice” the development of modes of marriage that involve the transfer of valuables/ services. The growth of social stratification appears to have an independent influence on the decline of female premarital sexual freedom among foragers. The growth of similar components of cultural complexity seems to lead to the development of slavery and polygyny, whereas the combined action of these factors appears to entice what we call "bride commodification" which against the background of declining female status appears, naturally, to lead to the restriction of the female premarital sexual freedom. The growth of such components of cultural complexity as political integration, fixity of settlement and community size seems to contribute to the decline of female premarital sexual freedom through the growth of social control (against the background of declining female status).