Titlebook: Compstat; Proceedings in Compu Wolfgang H?rdle,Bernd R?nz Conference proceedings 2002 Springer-Verlag Berlin Heidelberg 2002 Markov Chain.M

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https://doi.org/10.1007/978-3-8351-9217-1bles users to generate animal populations having realistically complex spatial and individual characteristics, to generate survey designs for a variety of survey techniques, to survey the populations and to estimate the abundance. It can be used to assess properties of estimators when the model assu

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978-3-7908-1517-7Springer-Verlag Berlin Heidelberg 2002

滋養(yǎng)

https://doi.org/10.1057/9781403982797stochastic process by cutting series in seasonal periods. The new approach consists of modelling principal components as ARIMA processes and then to formulate a mixed PC-ARIMA model for the time series. This methodology is then applied to the climatic phenomenon known as .

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https://doi.org/10.1007/978-3-8351-9217-1bles users to generate animal populations having realistically complex spatial and individual characteristics, to generate survey designs for a variety of survey techniques, to survey the populations and to estimate the abundance. It can be used to assess properties of estimators when the model assumptions are violated.

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Forecasting PC-ARIMA Models for Functional Datastochastic process by cutting series in seasonal periods. The new approach consists of modelling principal components as ARIMA processes and then to formulate a mixed PC-ARIMA model for the time series. This methodology is then applied to the climatic phenomenon known as .

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