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Unusual-Event Processs for Count Data
โดย ผศ.ดร.วรรณฤดี สกุลภักดี อาจารย์ประจำคณะสถิติประยุกต์, Mongkol Hunkrajok
Abstract
At least one unusual event appears in some count datasets. It will lead to a more concentrated (or dispersed) distribution than the Poisson, gamma, Weibull, Conway-Maxwell-Poisson (CMP), and Faddy (1997) models can accommodate. These well-known count models are based on the monotonic rates of interarrival times between successive events.Under the assumption of non-monotonic rates and independent exponential interarrival times, a new class of parametric models for unusual-event (UE) count data is proposed. These models are applied to two empirical applications, the number of births and the number of bids, and yield considerably better results to the above well-known count models.
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Emission factors of PM2.5 Bounded selected metals, organic carbon, elemental carbon, and water-soluble ionic species emitted from combustion of biomass materials for source Apportionment A new database for 17 plant species
โดย ศ.ดร.ศิวัช พงษ์เพียจันทร์ อาจารย์ประจำคณะพัฒนาสังคมและยุทธศาสตร์การบริหาร, Qiyuan Wang, Thaneeya Chetiyanukornkul, Li Li, Li Xing, Guohui Li, Yongming Han, Junji Cao, Vanisa Surapipith
Abstract
Over the past few years, burning agricultural or crop residues has resulted in serious air pollution, particularly in northern Thailand. In this study, constant endeavours were made to achieve the first-hand emission factors (EFs) of water-soluble ionic species (WSIS), organic carbon, elemental carbon, and selected metals emitted from the combustion of 17 plant species.
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