LQ-Moments for Statistical Analysis of Extreme Events

LQ-Moments for Statistical Analysis of Extreme Events

regionalization approach for extreme flood analysis using l-moments

flood frequency analysis is faced with the problem of data and information limitation in arid and semi-arid regions. particularly in these regions, the length of records is usually too short to ensure reliable quantile estimates. more than 75% of iran is located in arid and semi-arid regions and despite the low annual precipitation, often large floods occur. one way to provide more information ...

Synoptic-Statistical Analysis of Ozone's (O3) Extreme Days in Tehran

Air pollution is one of the most important natural hazards in cities that is one of the priorities of climate research.  In this research, synoptic situation of days polluted by ozone in Tehran have been studied and by environmental to circulation approach and cluster analysis. At first, was formed a matrix in 2417*41. Rows are indicated days and columns represent the number of stations. by clu...

Analysis of Nonstationary Extreme Events

We welcome all of you to the twenty-sixth edition of the Modern Artificial Intelligence and Cognitive Science Conference, April 25-26, 2015 (MAICS 2015) hosted by North Carolina A&T State University. In keeping with tradition of MAICS, the conference brings together graduate students, junior and senior faculty along with industry researchers to present and exchange ideas related to numerous top...

Statistical Monitoring of Rare Events in Healthcare

  There are miscellaneous quality characteristics in healthcare which are interested to be monitored. However, monitoring each characteristic needs a special statistical method. There are some characteristics with very small incidence rates that it’s usually considered not to be necessary to monitoring them, since their incidence rates are so small that p and np charts are not able to monitor t...