Easy estimation by a new parameterization for the three-parameter lognormal distribution [PDF]
, 2013 A new parameterization and algorithm are proposed for seeking the primary relative maximum of the likelihood function in the three-parameter lognormal distribution.
Hirose, Hideo, Komori, Yoshio
core +1 more source
Joint Bayesian endmember extraction and linear unmixing for hyperspectral imagery [PDF]
, 2009 This paper studies a fully Bayesian algorithm for endmember extraction and abundance estimation for hyperspectral imagery. Each pixel of the hyperspectral image is decomposed as a linear combination of pure endmember spectra following the linear mixing ...
Alfred O. Hero +5 more
core +9 more sources
Cash flow prediction using artificial neural network and GA-EDA optimization [PDF]
Journal of Project Management, 2019 Cash flow models are one of the spotlights for evaluating a project. The actual data should be modeled then it could be used for the prediction process.
Mohsen Sadegh Amalnik +5 more
doaj
Hybrid fuzzy charged system search algorithm based state estimation in distribution networks
Engineering Science and Technology, an International Journal, 2017 This paper proposes a new hybrid charged system search (CSS) algorithm based state estimation in radial distribution networks in fuzzy framework. The objective of the optimization problem is to minimize the weighted square of the difference between the ...
Sachidananda Prasad, D.M. Vinod Kumar
doaj +1 more source
Interval State Estimation in Active Distribution Systems Considering Multiple Uncertainties
Sensors, 2021 Distribution system state estimation (DSSE) plays a significant role for the system operation management and control. Due to the multiple uncertainties caused by the non-Gaussian measurement noise, inaccurate line parameters, stochastic power outputs of ...
Tengpeng Chen +2 more
doaj +1 more source
Hastings-Metropolis algorithm on Markov chains for small-probability estimation [PDF]
, 2014 Shielding studies in neutron transport, with Monte Carlo codes, yield challenging problems of small-probability estimation. The particularity of these studies is that the small probability to estimate is formulated in terms of the distribution of a ...
Bachoc, François +2 more
core +5 more sources
Estimation of Travel Time Distributions in Urban Road Networks Using Low-Frequency Floating Car Data
ISPRS International Journal of Geo-Information, 2017 Travel times in urban road networks are highly stochastic. However, most existing travel time estimation methods only estimate the mean travel times, while ignoring travel time variances. To this end, this paper proposes a robust travel time distribution
Chaoyang Shi, Bi Yu Chen, Qingquan Li
doaj +1 more source
ML-Estimation in the Location-Scale-Shape Model of the Generalized Logistic Distribution [PDF]
, 2009 A three parameter (location, scale, shape) generalization of the logistic distribution is fitted to data. Local maximum likelihood estimators of the parameters are derived.
Klaus Abberger
core +1 more source
A distributed quantile estimation algorithm of heavy-tailed distribution with massive datasets
Mathematical Biosciences and Engineering, 2021 Quantile estimation with big data is still a challenging problem in statistics. In this paper we introduce a distributed algorithm for estimating high quantiles of heavy-tailed distributions with massive datasets.
Xiaoyue Xie, Jian Shi
doaj +1 more source
An Adaptive Estimation of Distribution Algorithm for Multipolicy Insurance Investment Planning
IEEE Transactions on Evolutionary Computation, 2019 Insurance has been increasingly realized as an important way of investment and risk aversion. Fruitful insurance products are launched by insurers, but there is little research on how to make a proper insurance investment plan for a specific policyholder
Wen Shi +5 more
semanticscholar +1 more source