Time series forecasting is an important area of forecasting in which past observations of the same variable are collected and analyzed to develop a model describing the underlying relationship. The model is then used to extrapolate the time series into the future. This modeling approach is...

The bootstrap is a computationally intensive data analysis technique. It is particularly useful for analysing small datasets, and for estimating the sampling distribution of a statistic when it is intractable. We focus on bootstrap hypothesis testing of linear models. In this context, at...

Citrus canker assessment data were used to investigate effects of using the Horsfall-Barratt (H-B) scale to estimate disease compared to direct estimation to the nearest percent. Twenty-eight raters assessed each of two-hundred infected leaves (0-38% true diseased area). The data were converted...

Binomial sampling based on the proportion of samples infested was investigated for estimating mean densities of citrus rust mite, Phyllocoptruta oleivora (Ashmead), and Aculops pelekassi (Keifer) (Acari: Eriophyidae), on oranges, Citrus sinensis (L.) Osbeck. Data for the investigation were...

From 1997 to 1999, Schizaphis graminum (Rondani), intensity (number per tiller) was estimated on 115 occasions from hard red winter wheat fields located throughout the major wheat growing regions of Oklahoma. A total of 32 and 83 fields was sampled during the fall and spring, respectively. The...

Participation in government programs has a mild impact on the economic well-being of U.S. farm households. Major factors that determine farm household prosperity are the primary operator's education level and ethnicity, education level of the spouse, and other characteristics such as forward...