Parameter estimation using transform estimation in time-evolving models

DOI10.1016/0025-5564(79)90095-6zbMath0418.62074OpenAlexW2062163989MaRDI QIDQ1131819

Richard L. Tweedie, Hans-Jürgen Schuh

Publication date: 1979

Published in: Mathematical Biosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0025-5564(79)90095-6

zbMATH Keywords

Laplace transformparameter estimationexponential distributionbirth and death processesleast squaresstratified random samplingcomplex simulationestimation of hatching rates of parasitessampling at the random timetransform estimation

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Non-Markovian processes: estimation (62M09) Sampling theory, sample surveys (62D05) Monte Carlo methods (65C05) Laplace transform (44A10) Branching processes (Galton-Watson, birth-and-death, etc.) (60J80)

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A Bayesian approach for parameter estimation in multi-stage models ⋮ Modified weighted squared error estimation procedures with special emphasis on the stable laws ⋮ Estimating the Change in a Renewal Process When the Data are Counts ⋮ Techniques for estimating parameters in Bartoszynski's virus model ⋮ PARAMETER ESTIMATION FOR STAGE-DURATION MODELS ⋮ Transform martingale estimating functions ⋮ A Bayesian approach for multi-stage models with linear time-dependent hazard rate

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