Fitting probability distributions to economic growth: a maximum likelihood approach
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Publication:5138108
DOI10.1080/02664763.2015.1117586OpenAlexW2283740186MaRDI QIDQ5138108
Pär Stockhammar, Mahmood Ul Hassan
Publication date: 3 December 2020
Published in: Journal of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://figshare.com/articles/journal_contribution/Fitting_probability_distributions_to_economic_growth_a_maximum_likelihood_approach/2645995
maximum likelihood estimationnormalnormal-asymmetric Laplacenormal-mixtureStudent's \(t\)-asymmetric Laplace
Uses Software
Cites Work
- Multitude of Laplace distributions
- Random fluctuations of response rate
- Medical applications of finite mixture models
- Tests for normal mixtures based on the empirical characteristic function
- Scaling the volatility of GDP growth rates
- Goodness-of-fit tests for generalized logarithmic series distribution
- A time-series model using asymmetric Laplace distribution
- A Simple Heteroscedasticity Removing Filter
- Mixtures
- The Double Pareto-Lognormal Distribution—A New Parametric Model for Size Distributions
- Analyzing Microarray Gene Expression Data
- Jarque–Bera Test and its Competitors for Testing Normality – A Power Comparison
- A Subordinated Stochastic Process Model with Finite Variance for Speculative Prices
- Convergence Properties of the Nelder--Mead Simplex Method in Low Dimensions
- Comparisons of tests for normality with a cautionary note
- On the probability distribution of economic growth
- A Comparison of Two Methods of Analysis of Mixtures of Normal Distributions
- A Simplex Method for Function Minimization
- A Three-Parameter Asymmetric Laplace Distribution and Its Extension
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