1971
DOI: 10.1109/tit.1971.1054719
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Barankin Bounds on Parameter Estimation

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Cited by 123 publications
(62 citation statements)
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“…we consider an interval around each of the 48 local maxima). Let (83) be the MSEA based on (22) and using the interval probability approximation ( , see (26), (27), (29)) and interval mean and variance approximations and (…”
Section: Numerical Results and Discussionmentioning
confidence: 99%
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“…we consider an interval around each of the 48 local maxima). Let (83) be the MSEA based on (22) and using the interval probability approximation ( , see (26), (27), (29)) and interval mean and variance approximations and (…”
Section: Numerical Results and Discussionmentioning
confidence: 99%
“…However, it can be computed numerically using for example the MATLAB function QSCMVNV (written by Genz based on [50]- [53]) that computes the multivariate normal probability with integration region specified by a set of linear inequalities in the form . Using QSCMVNV, can be approximated by: (26) where is the number of points used by the algorithm (e.g., ), and two -column vectors, and an matrix with and 6 . 6 We denote by the identity matrix of rank , and and the zero and one matrices of dimension .…”
Section: A Computation Of the Interval Probabilitymentioning
confidence: 99%
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“…Nevertheless, the BB plays a central role, from the theoretical point of view, as it provides a hierarchy of weaker bounds which can be used in practice with estimators that are asymptotically unbiased. The BB can be written as [44] …”
Section: Barankin Boundmentioning
confidence: 99%
“…Barankin bound [13], [14], [15], [16]) for breakdown estimation may be an alternative approach, but a specific estimator in general does not achieve the bound. The breakdown point provided is therefore usually over-optimistic.…”
Section: Introductionmentioning
confidence: 99%