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We consider truncated (or conditional) sum-of-squares estimation of a parametric fractional time series model with an … consistency (which is a prerequisite for proving asymptotic normality) is challenging due to non-uniform convergence of the … components. In contrast, we establish consistency and asymptotic normality of parameter estimates related to the stochastic …
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Correlation in time series has recently recieved a lot of attentions. Its usage has been getting an important role in Social Science and Finance. For example, pair trading in Finance is interested with the correlation between stock prices, returns etc. In general, Pearsonís correlation...
Persistent link: https://www.econbiz.de/10010990737
We present a new method for estimating the endpoint of a unidimensional sample when the distribution function decreases at a polynomial rate to zero in the neighborhood of the endpoint. The estimator is based on the use of high-order moments of the variable of interest. It is assumed that the...
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the consistency and asymptotic normality of the proposed estimator and provide a simulation study to compare its …
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The robust estimation for Poisson autoregressive models is studied. As a robust estimator, a minimum density power …
Persistent link: https://www.econbiz.de/10010906929
This paper proves consistency and asymptotic normality for the conditional-sum-of-squares estimator, which is … novelty of the consistency result, in particular, is that it applies to a multivariate model and to an arbitrarily large set …
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