Neyman's C(α) test for the shape parameter of the exponential power class

DOI10.1080/00949655.2021.2007919OpenAlexW3217357642WikidataQ115551840 ScholiaQ115551840MaRDI QIDQ5086074

Lukas Arnroth, Rauf Ahmad

Publication date: 1 July 2022

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2021.2007919

zbMATH Keywords

local asymptotic normalityeffective score testexponential power classbivariate exponential power class

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• R
• RandomFields
• Julia

Cites Work

• Unnamed Item
• Properties and estimation of asymmetric exponential power distribution
• Improving generalised estimating equations using quadratic inference functions
• Local asymptotic normality for bifurcating autoregressive processes and related asymptotic inference
• The information matrix, skewness tensor and \(\alpha\)-connections for the general multivariate elliptic distribution
• A class of optimal tests for symmetry based on local Edgeworth approximations
• Test of fit for a Laplace distribution against heavier tailed alternatives
• Optimal detection of Fechner-asymmetry
• Asymptotic optimal inference for a class of nonlinear time series models
• Asymptotically uniformly most powerful tests in parametric and semiparametric models
• Maximum likelihood estimation of asymmetric Laplace parameters
• On the geometry of multivariate generalized Gaussian models
• Objective Bayesian analysis for exponential power regression models
• A new test of multivariate normality by a double estimation in a characterizing PDE
• A generalized error distribution copula-based method for portfolios risk assessment
• Empirical likelihood ratio-based goodness-of-fit test for the Laplace distribution
• Julia: A Fresh Approach to Numerical Computing
• NEYMAN’S C(α) TEST FOR UNOBSERVED HETEROGENEITY
• On Large-Sample Estimation and Testing in Parametric Models
• Asymptotic Statistics
• A multivariate generalization of the power exponential family of distributions
• A COMMENT ON LOCALLY MOST POWERFUL TESTS IN THE PRESENCE OF NUISANCE PARAMETERS
• Tests of Fit for the Laplace Distribution, with Applications
• How Fat‐Tailed is <scp>US</scp> Output Growth?
• Maximum likelihood estimation for the exponential power function parameters
• A powerful and interpretable alternative to the Jarque–Bera test of normality based on 2nd-power skewness and kurtosis, using the Rao's score test on the APD family
• Local asymptotic normality for long-memory process with strong mixing noises
• Testing Statistical Hypotheses
• On asymptotically optimal tests of composite hypotheses
• Measures of multivariate skewness and kurtosis with applications
• A further look at robustness via Bayes's theorem
• Rao's score, Neyman's \(C(\alpha)\) and Silvey's LM tests: an essay on historical developments and some new results

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