Results 1 to 10 of about 5,269,728 (309)
Analysis of Ferquency Maximum Flood in Mountain basin (Case study : Armand station) [PDF]
A bivariate extreme value distribution, namely the Gumbel mixed model constructed from Gumbel marginal distributions is employed to analyze the joint distribution of correlated flood peak (probable maximum flood) and amount.
D. Rahimi, A. Baratian
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Marginal Distribution Multi-Target Bayes Filter With Assignment of Measurements
This work proposes a marginal distribution multi-target Bayes filter with assignment of measurements to track multiple targets in the presence of an unknown and variable number of targets, clutter, and missed detections.
Zong-Xiang Liu, Mian Wu, Jie Gan
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A product autoregressive model with log-Laplace marginal distribution
The log-Laplace distribution and its properties are considered. Some important properties like multiplicative infinite divisibility, geometric multiplicative infinite divisibility and self-decomposability are discussed.
Kanichukattu K. Jose, Manu Mariam Thomas
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Inference with the Median of a Prior
We consider the problem of inference on one of the two parameters of a probability distribution when we have some prior information on a nuisance parameter.
Ali Mohammad-Djafari, Adel Mohammadpour
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Generalized Bivariate Kummer-Beta Distribution
A new bivariate beta distribution based on the Humbert’s confluent hypergeometric function of the second kind is introduced. Various representations are derived for its product moments, marginal densities, marginal moments, conditional densities and ...
Daya K. Nagar +2 more
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Bayesian Inference for Seasonal ARMA Models [PDF]
An essential ingredient of any time series anatysis is the estimation of the modcl parameters. The main objective of this paper is to develop a convenient Rayesian technique for estimation which can be used to analyze ‘seasonal autoregressive moving ...
Samir Shaarawy, Mohamed Ismail
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Traditional prices at the distribution level cannot efficiently guide the comprehensive cost recovery. To this end, this paper proposes a novel integrated nodal price by solving a comprehensive investment problem.
Zhaobin Wei +7 more
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Simulating Non-Gaussian Stationary Stochastic Processes by Translation Model
The translation model is a useful tool to characterize stochastic processes or random fields. In this paper, this model is extended to simulate stochastic processes with discrete marginal distributions.
Qing Xiao, Shaowu Zhou
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THE UNINFORMATIVE PRIOR OF JEFFREYS’ DISTRIBUTION IN BAYESIAN GEOGRAPHICALLY WEIGHTED REGRESSION
When using the Bayesian method for estimating parameters in a geographically weighted regression model, the choice of the prior distribution directly impacts the posterior distribution.
Fachri Faisal +3 more
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Following the recent work of Gómez-Déniz and Pérez-Rodríguez (2014), this paper extends the results obtained there to the normal-exponential distribution with dependence.
Gómez-Déniz, Emilio +1 more
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