Pages that link to "Item:Q556432"
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The following pages link to Checking nonlinear heteroscedastic time series models (Q556432):
Displaying 16 items.
- Joint and marginal specification tests for conditional mean and variance models (Q291103) (← links)
- A Cramér-von Mises test for symmetry of the error distribution in asymptotically stationary stochastic models (Q376708) (← links)
- An efficient locally asymptotic parametric test in nonlinear heteroscedastic time series models (Q427980) (← links)
- A simultaneous test for conditional mean and conditional variance functions in time series models with martingale difference innovations (Q537479) (← links)
- A test for comparing two discrete stochastic dynamical systems under heteroskedasticity (Q691309) (← links)
- A simple additivity test for conditionally heteroscedastic nonlinear autoregression (Q693254) (← links)
- A locally asymptotically powerful test for nonlinear autoregressive models (Q931815) (← links)
- Testing for nonlinearity in mean and volatility for heteroskedastic models (Q960346) (← links)
- Nonparametric model checks for time series (Q1807172) (← links)
- Estimation in a class of nonlinear heteroscedastic time series models (Q2426824) (← links)
- The marked empirical process to test a general AR-ARCH against an other general AR-ARCH when the random vectors are nonstationary and absolutely regular (Q2427232) (← links)
- Conditional variance model checking (Q2655067) (← links)
- The marked empirical process to test nonlinear time series against a large class of alternatives when the random vectors are nonstationary and absolutely regular (Q2892897) (← links)
- ASYMPTOTIC DISTRIBUTION-FREE DIAGNOSTIC TESTS FOR HETEROSKEDASTIC TIME SERIES MODELS (Q3577700) (← links)
- Testing Symmetry of the Error Distribution in Nonlinear Heteroscedastic Models (Q5321945) (← links)
- A Cramér-von Mises test for a class of mean time dependent CHARN models with application to change-point detection (Q6155083) (← links)