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Original Articles

A mixture model for wind shear data

Pages 49-58 | Published online: 28 Jul 2006

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Muhammad Tahir, Muhammad Aslam, Zawar Hussain & Akbar Ali Khan. (2016) On finite 3-component mixture of exponential distributions: Properties and estimation. Cogent Mathematics 3:1.
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Mahmood Ul Hassan & Pär Stockhammar. (2016) Fitting probability distributions to economic growth: a maximum likelihood approach. Journal of Applied Statistics 43:9, pages 1583-1603.
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Daniel Wei-Chung Miao, Hsiu-Chun Lee & Hung Chen. (2016) A Standardized Normal-Laplace Mixture Distribution Fitted to Symmetric Implied Volatility Smiles. Communications in Statistics - Simulation and Computation 45:4, pages 1249-1267.
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Sajid Ali & Muhammad Riaz. (2014) On the generalized process capability under simple and mixture models. Journal of Applied Statistics 41:4, pages 832-852.
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Sajid Ali, Muhammad Aslam, Debasis Kundu & Syed Mohsin Ali Kazmi. (2012) Bayesian estimation of the mixture of generalized exponential distribution: a versatile lifetime model in industrial processes. Journal of the Chinese Institute of Industrial Engineers 29:4, pages 246-269.
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Pär Stockhammar & Lars-Erik Öller. (2011) On the probability distribution of economic growth. Journal of Applied Statistics 38:9, pages 2023-2041.
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Markus Haas, Stefan Mittnik & Marc S. Paolella. (2006) Modelling and predicting market risk with Laplace–Gaussian mixture distributions. Applied Financial Economics 16:15, pages 1145-1162.
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P. N. Jones & G. J. Mclachlan. (1990) Laplace-normal mixtures fitted to wind shear data. Journal of Applied Statistics 17:2, pages 271-276.
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S. Kapoor & G. K. Kanji. (1990) Application of the characterization theory to the mixture model. Journal of Applied Statistics 17:2, pages 263-270.
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Articles from other publishers (20)

Nadeem Akhtar, Sajjad Ahmad Khan, Emad A. A. Ismail, Fuad A. Awwad, Taza Gul & Akbar Ali Khan. (2024) Bayesian estimation of 3-component mixture geometric distribution under different loss functions. AIP Advances 14:1.
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Fadhaa Ali. (2023) Bayesian Methods for Estimation the Parameters of Finite Mixture of Inverse Rayleigh Distribution. Mathematical Problems in Engineering 2023, pages 1-9.
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Noor Mohammed & Fadhaa Ali. (2022) Estimation of Parameters of Finite Mixture of Rayleigh Distribution by the Expectation-Maximization Algorithm. Journal of Mathematics 2022, pages 1-7.
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Muhammad Tahir, Ibrahim M. Almanjahie, Muhammad Abid & Ishfaq Ahmad. (2021) On Estimation of Three-Component Mixture of Distributions via Bayesian and Classical Approaches. Mathematical Problems in Engineering 2021, pages 1-19.
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Antonio Punzo & Luca Bagnato. (2021) Modeling the cryptocurrency return distribution via Laplace scale mixtures. Physica A: Statistical Mechanics and its Applications 563, pages 125354.
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Syed Mohsin Ali Kazmi & Muhammad Aslam. (2018) Bayesian Estimation for 3-Component Mixture of Generalized Exponential Distribution. Iranian Journal of Science and Technology, Transactions A: Science 43:4, pages 1761-1788.
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Muhammad Tahir & Muhammad Aslam. (2015) Bayesian Analysis of the 3-Component Mixture of Exponential Distribution Assuming the Non-Informative Priors. Revista Colombiana de Estadística 38:2, pages 431-452.
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Muhammad Aslam, Muhammad Tahir, Zawar Hussain & Bander Al-Zahrani. (2015) A 3-Component Mixture of Rayleigh Distributions: Properties and Estimation in Bayesian Framework. PLOS ONE 10:5, pages e0126183.
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Joachim Kaldasch. (2014) Evolutionary model of stock markets. Physica A: Statistical Mechanics and its Applications 415, pages 449-462.
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Zhong-Yuan Wang, Zhen Han, Rui-Min Hu & Jun-Jun Jiang. (2014) Noise robust face hallucination employing Gaussian–Laplacian mixture model. Neurocomputing 133, pages 153-160.
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Catia Scricciolo. (2011) Posterior rates of convergence for Dirichlet mixtures of exponential power densities. Electronic Journal of Statistics 5:none.
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Tomasz J. Kozubowski & Saralees Nadarajah. (2008) Multitude of Laplace distributions. Statistical Papers 51:1, pages 127-148.
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Hua Cai, Junxi Sun & Shifeng Ou. (2007) Blind Speech Separation Employing Laplacian Normal Mixture Distribution Model. Blind Speech Separation Employing Laplacian Normal Mixture Distribution Model.
Junyu Zheng & H. Christopher Frey. (2004) Quantification of Variability and Uncertainty Using Mixture Distributions: Evaluation of Sample Size, Mixing Weights, and Separation Between Components. Risk Analysis 24:3, pages 553-571.
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P.J. Charles, Mingui Sun & R.J. Sclabassi. (2000) Statistical reduction of EEG data. Statistical reduction of EEG data.
P.J. Charles, R.J. Sclabassi & Mingui Sun. (1999) Non-Gaussian modeling of EEG data. Non-Gaussian modeling of EEG data.
O. E. Barndorff-Nielsen, J. L. Jensen & M. S�rensen. (1989) Wind shear and hyperbolic distributions. Boundary-Layer Meteorology 49:4, pages 417-431.
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O. E. Barndorff-Nielsen. (1986) Sand, wind and statistics: Some recent investigations. Acta Mechanica 64:1-2, pages 1-18.
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Markus Haas, Stefan Mittnik & Marc S. Paolella. (2005) Modeling and Predicting Market Risk With Laplace-Gaussian Mixture Distributions. SSRN Electronic Journal.
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Joachim Kaldasch. (2014) Evolutionary Model of Stock Markets. SSRN Electronic Journal.
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