Inference for random sampling processes

DOI10.1016/0304-4149(89)90057-4zbMath0681.62083OpenAlexW1993309133MaRDI QIDQ1823601

Ludger Rüschendorf

Publication date: 1989

Published in: Stochastic Processes and their Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0304-4149(89)90057-4

zbMATH Keywords

completenesspartial sufficiencynonhomogeneous Poisson processessufficiencyoptimal testsCox processesoptimal estimatorshypotheses testsintensity parameterrandom sampling processes

Mathematics Subject Classification ID

Inference from stochastic processes (62M99) Sequential statistical analysis (62L10) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55) Sufficient statistics and fields (62B05)

Related Items (2)

A remark on the spectral domain of nonstationary processes ⋮ Differentiablity of point process models and asymptotic efficiency of differentiable functionals

Cites Work

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• Complete and symmetrically complete families of distributions
• The likelihood ratio and its applications in sequential analysis
• Dominierbarkeit und suffizienz in der sequentialanalyse
• Discrimination of Poisson Processes

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