D
Donald E. K. Martin
Researcher at Howard University
Publications - 12
Citations - 181
Donald E. K. Martin is an academic researcher from Howard University. The author has contributed to research in topics: Conditional probability distribution & Filter (signal processing). The author has an hindex of 7, co-authored 12 publications receiving 181 citations. Previous affiliations of Donald E. K. Martin include United States Census Bureau.
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Computation of Asymmetric Signal Extraction Filters and Mean Squared Error for ARIMA Component Models
TL;DR: In this paper, the authors developed an algorithm for computing filter weights for asymmetric, semi-infinite signal extraction filters, including the important case of the concurrent filter (for signal extraction at the current time point).
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Markovian start-up demonstration tests with rejection of units upon observing d failures
TL;DR: By conditioning on the time of the first failure, several results are derived for demonstration tests of the start-up reliability of equipment by computing the probability distribution of the number of start-ups and the probability of acceptance or rejection of the equipment in a specified number of trials.
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Computation of asymmetric signal extraction filters and mean squared error for ARIMA component models
TL;DR: In this article, the authors developed an algorithm for computing filter weights for asymmetric, semi-infinite signal extraction filters, including the important case of the concurrent filter (for signal extraction at the current time point).
Journal ArticleDOI
Application of auxiliary Markov chains to start-up demonstration tests
TL;DR: This work uses auxiliary Markov chains to derive probabilistic results for five types of start-up demonstration tests, with start-ups that are Markovian of a general order.
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On the distribution of the number of successes in fourth- or lower-order Markovian trials
TL;DR: An algorithm is developed for computing the distribution of the number of successes in binary sequences, under the assumption that the dependence structure is fourth-order Markovian.