A TEST OF GOODNESS OF FIT FOR SYMMETRIC RANDOM VARIABLES1

DOI10.1111/j.1467-842X.1972.tb00355.xzbMath0257.62030MaRDI QIDQ5672000

C. R. Heathcote

Publication date: 1972

Published in: Australian Journal of Statistics (Search for Journal in Brave)

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Asymptotic distribution theory in statistics (62E20)

Related Items (24)

A Class of Omnibus Tests for the Laplace Distribution based on the Empirical Characteristic Function ⋮ Bootstrap goodness-of-fit tests with estimated parameters based on empirical transforms ⋮ Mixture Models in View of Evidential Analysis ⋮ Robust scale estimation based on the empirical characteristic function ⋮ Goodness-of-fit tests for a multivariate distribution by the empirical characteristic function ⋮ Some sampling properties of empirical characteristic functions viewed as harmonizable stochastic processes ⋮ On Adjustment Costs, Profit Uncertainty and Investment Behavior ⋮ An omnibus test for the two-sample problem using the empirical characteristic function ⋮ Using laplace transform theory to estimate knots ⋮ Parameter estimation using transform estimation in time-evolving models ⋮ Applications of empirical characteristic functions in some multivariate problems ⋮ Test for uniformity by empirical Fourier expansion ⋮ An empirical-characteristic-function-based change-point test for detection of multiple distributional changes ⋮ Tests for normal mixtures based on the empirical characteristic function ⋮ On inference from Markov chain macro-data using transforms ⋮ Estimation of affine asset pricing models using the empirical characteristic function ⋮ Consistent tests for symmetric stability with finite mean based on the empirical characteristic function ⋮ A Goodness of Fit Test for Normality Based on the Empirical Moment Generating Function ⋮ Change point analysis based on empirical characteristic functions ⋮ Comparison of some tests of fit for the Laplace distribution ⋮ Goodness of fit tests for discrete distributions ⋮ A supplement to sowey's bibliography on random number generation and related topics ⋮ On the errors involved in computing the empirical characteristic function ⋮ On statistical transform methods and their efficiency

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