Abstract
We show that under certain conditions finite digitalization of continuous data permits to estimate the parameter by the maximum likelihood method preserving the minimal asymptotic variance achieved in the model without digitalization.
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Morales, D., Pardo, L., Vajda, I. (2004). Digitalization of Observations Permits Efficient Estimation in Continuous Models. In: Soft Methodology and Random Information Systems. Advances in Soft Computing, vol 26. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-44465-7_38
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DOI: https://doi.org/10.1007/978-3-540-44465-7_38
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22264-4
Online ISBN: 978-3-540-44465-7
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