goldparticle

<p>A sample of 370 counts of gold particles in a well-defined colloidal
solution at equidistant points in time. The data were originally
published in Westgren (1916) and later used in Jung and Tremayne (2006).</p>

datasets

Useful tools for fitting, validating, and forecasting of practical convolution-closed time series models for low counts are provided. Marginal distributions of the data can be modelled via Poisson and Generalized Poisson innovations. Regression effects can be incorporated through time varying innovation rates. The models are described in Jung and Tremayne (2011) <doi:10.1111/j.1467-9892.2010.00697.x> and the model assessment tools are presented in Czado et al. (2009) <doi:10.1111/j.1541-0420.2009.01191.x> and, Tsay (1992) <doi:10.2307/2347612>.

Manuel Huth

coconots

Convolution-Closed Models for Count Time Series

Robert C. Jung

Andy Tremayne

goldparticle function

<p>A time series (<code>ts</code>) object containing 370 observations at equidistant time points.</p>

goldparticle: Time Series of Gold Particle Counts in a Well-Defined Colloidal Solution

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Examples