| dc.description.abstract | Many zero observations makes some difficulties and fatal consequence in Poisson
modeling and its interpretation. We consider to facilitates the analysis of two-way tables
of count with many zero observations in agricultural trial. For example, in counting the
pest or disease in plants. Plants that have no sign of attack, can occur because of two
things, it could be resistant, or simply there is no spore disease (no endemics) or no pest
attack. This is the difference between inevitable structural zero or sampling zero that is
occurring according to a random process.
This paper describes a statistical framework and software for fitting row-column
interaction models (RCIMs) to two-way table of count with some Zero observations.
RCIMs apply some link function to the mean of a cell equaling a row effect plus a
column effect plus an interaction term is modeled as a reduced-rank regression with rank
of 2, then will be visualized by biplot. Therefore its potentially to be develop become
AMMI models that accommodate ZIP count. | en_US |
