Showing 1 - 10 of 207
The study of the time-of-day electricity demand motivates the introduction of a new class of nonparametric estimators: the constrained smoothing spline estimator. We compare the results obtained with this estimator against the classical Fourier and smoothing splines estimates.
Persistent link: https://www.econbiz.de/10005008382
Persistent link: https://www.econbiz.de/10013171085
We propose a specification test of a parametrically specified model against a weakly specified alternative. The latter is estimated using K nonparametric nearest neighbors (K-NN) in the context of an artificial regression. We derived the asymptotic distribution under the null hypothesis and...
Persistent link: https://www.econbiz.de/10011940442
We propose a specification test of a parametrically specified nonlinear model against a weakly specified alternative. We generalize a similar test procedure proposed by Delgado and Stengos (1990) to test the specification of a linear model. We estimate the alternative model by using K...
Persistent link: https://www.econbiz.de/10011940446
Persistent link: https://www.econbiz.de/10011990854
We propose a specification test of a parametrically specified nonlinear model against a weakly specified alternative. We generalize a similar test procedure proposed by Delgado and Stengos (1990) to test the specification of a linear model. We estimate the alternative model by using K...
Persistent link: https://www.econbiz.de/10005787769
We propose a specification test of a parametrically specified model against a weakly specified alternative. The latter is estimated using K nonparametric nearest neighbors (K-NN) in the context of an artificial regression. We derived the asymptotic distribution under the null hypothesis and...
Persistent link: https://www.econbiz.de/10005787788
We propose an asymptotically distribution-free transform of the sample autocorrelations of residuals in general parametric time series models, possibly non-linear in variables. The residuals autocorrelation function is the basic model checking tool in time series analysis, but it is useless when...
Persistent link: https://www.econbiz.de/10008470228
This article proposes a class of goodness-of-fit tests for the autocorrelation function of a time series process, including those exhibiting long-range dependence. Test statistics for composite hypotheses are functionals of a (approximated) martingale transformation of the Bartlett's Tp-process...
Persistent link: https://www.econbiz.de/10005151148
The construction of asymptotically distribution free time series model specification tests using as statistics the estimated residual autocorrelations is considered from a general view point. We focus our attention on Box-Pierce type tests based on the sum of squares of a few estimated residual...
Persistent link: https://www.econbiz.de/10005190239