The National Agricultural Statistical Service (NASS) conducts quarterly surveys for estimation of some primary commodities produced on farms and ranches. The commodities often have highly skewed distributions with a few farms producing very large amounts. NASS uses dual sampling frames comprised of the list frame for efficient stratification and the...
The objective of many steady-state simulations is to
study the behavior of a nonterminating system with a peak load
of infinite duration. Due to the complexity of the system, the
initial conditions of the system are often atypical that often
requires the simulators to start the system with the empty...
The Open Modeling Environment (OME) is a tool developed to address some known shortcomings in ecological System Dynamics (SD) modeling research. OME provides a common set of methods for interacting directly with spatial information, reducing the need for modelers to create their own methods for doing so. The environment is...
This dissertation investigates the problem of uncertainty in complex ecological models. The term "complex" is used to convey both the common and scientific meanings. Increasingly, ecological models have become complex because they are more complicated; ecological models are generally multi-variate and multi-leveled in structure. Many ecological models are complex because...
Gibbs sampling method is an important tool used in parameter estimation for many probabilistic models. Specifically, for many scenarios, it is difficult to generate high-dimensional data samples from its joint distribution. The Gibbs sampling provides a way to draw high-dimensional data via the conditional distributions which are typically easier to...
The objectives of this study were to ascertain the relative precision and accuracy of certain estimators on several forest populations and to determine if relative performance could be predicted from knowledge of population characteristics. Performance was tested on three populations of trees drawn from stands in northern Ontario. The first...