On estimating the total rate of the unobserved processes

DOI10.1016/0167-7152(93)90254-GzbMath0779.62066OpenAlexW1983026536MaRDI QIDQ689524

Tapan K. Nayak

Publication date: 19 January 1994

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0167-7152(93)90254-g

zbMATH Keywords

superpositionunbiased estimatorssoftware reliabilityindependent homogeneous Poisson processesminimum mean squared error estimatoruniformly minimum mean squared error estimateunobserved processes

Mathematics Subject Classification ID

Markov processes: estimation; hidden Markov models (62M05) Reliability and life testing (62N05)

Related Items (1)

Bayes' Estimation of the Number of Component Processes of a Superimposed Process

Cites Work

• On statistical analysis of a sample from a population of unknown species
• Linear estimation of the probability of discovering a new species
• On the Comparison of two Software Relibility Estimators
• Minimum Variance Unbiased Estimation of Software Reliability
• Estimating the Total Probability of the Unobserved Outcomes of an Experiment
• Estimating the number of component processes of a superimposed process
• THE POPULATION FREQUENCIES OF SPECIES AND THE ESTIMATION OF POPULATION PARAMETERS

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