On a class of nonlinear time series models for biological population abundance data

DOI<link itemprop=identifier href="https://doi.org/10.1002/(SICI)1099-0747(199609)12:3<193::AID-ASM283>3.0.CO;2-6" /><193::AID-ASM283>3.0.CO;2-6 10.1002/(SICI)1099-0747(199609)12:3<193::AID-ASM283>3.0.CO;2-6zbMath0924.90044OpenAlexW2095314390MaRDI QIDQ4258933

Sauchi Stephen Lee

Publication date: 15 September 1999

Full work available at URL: https://doi.org/10.1002/(sici)1099-0747(199609)12:3<193::aid-asm283>3.0.co;2-6

zbMATH Keywords

ergodicityMarkov chainpopulation dynamicsconditional least squaresasymptotically stationaryRicher model

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Economic time series analysis (91B84) Markov chains (discrete-time Markov processes on discrete state spaces) (60J10) Biology and other natural sciences (92-XX)

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