This paper introduces measures of information for Bayesian analysis when the support of data distribution is truncated progressively. The focus is on the lifetime distributions where the support is truncated at the current age t>=0. Notions of uncertainty and information are presented and operationalized by Shannon entropy, Kullback-Leibler information, and mutual information. Dynamic updatings...

composting as one of the municipal solid waste management strategies aims to reduce size and weight of excreted substances, to abate odor and leachate, increase resource recovery and reduce the cost of disposal. environmental impact assessment (eia) of compost plants is required for compliance with laws and regulations. eia is one of the effective methods to protect environment. the aim of this...

the objective of this paper is to determine the drift demand hazard curves of steel moment-resisting frames with different number of stories in territory of tehran this is done through the combination of the results obtained from probabilistic seismic hazard analysis and the demand estimated through the best probabilistic seismic demand models. to select the best demand model, in this paper, a ...

the main objective of this paper is to examine the impact of economic growth on coefficient of cardinal welfare in iran’s economy. hence, we employ the bayesian approach and the estimation of forward and backward density functions in order to measure the effect of economic growth spillovers on the social welfare. the paper has applied the gibbs sampling algorithm which is a rigorous tool for fo...

evaporation phenomena is a effective climate component on water resources management and has special importance in agriculture. in this paper, bayesian belief networks (bbns) as a non-linear modeling technique provide an evaporation estimation  method under uncertainty. as a case study, we estimated the surface water evaporation of the persian gulf and worked with a dataset of observations (dai...