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ENCYCLOPEDIA OF STATISTICAL SCIENCES
Research in the statistical analysis of extreme values has flourished over the past decade: new probability models, inference and data analysis techniques have been introduced; and new application areas have been explored. Statistics of Extremes comprehensively covers a wide range of models and application areas, including risk and insurance: a major area of interest and relevance to extreme value theory. Case studies are introduced providing a good balance of theory and application of each model discussed, incorporating many illustrated examples and plots of data. The last part of the book covers some interesting advanced topics, including time series, regression, multivariate and Bayesian modelling of extremes, the use of which has huge potential.
This three-volume set, LNAI 10937, 10938, and 10939, constitutes the thoroughly refereed proceedings of the 22nd Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2018, held in Melbourne, VIC, Australia, in June 2018. The 164 full papers were carefully reviewed and selected from 592 submissions. The volumes present papers focusing on new ideas, original research results and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems and the emerging applications.
This book examines the fundamental mathematical and stochastic process techniques needed to study the behavior of extreme values of phenomena based on independent and identically distributed random variables and vectors. It emphasizes the core primacy of three topics necessary for understanding extremes: the analytical theory of regularly varying functions; the probabilistic theory of point processes and random measures; and the link to asymptotic distribution approximations provided by the theory of weak convergence of probability measures in metric spaces.
The second volume of these conference proceedings includes 35 papers presented under seven topic headings. The topic headings are: (1) education and training in statistics in developing countries; (2) co-operation between academic and practicing statisticians; (3) teaching survey sampling; (4) teaching design and analysis of experiments; (5) training industrial practitioners; (6) principles of learning probability and statistics (including papers examining children's choice behavior in probabilistic situations, a survey of probability concepts in 3000 students aged 11-16 years, teaching probability and statistics so as to overcome some misconceptions, and the role of explanation in teaching elementary probability); and (7) the teaching of agricultural statistics (which includes a single paper on training of personnel for agricultural statistics in Jordan). Like the papers in the first volume, these papers provide a summary of the situation in statistical education around the world and point the way to future developments. (JN)