This research develops a mixture regression model that is shown to have advantages over theclassical Tobit model in model fit and predictive tests when data are generated from a two stepprocess. Additionally, the model is shown to allow for flexibility in distributional assumptions while nesting...

The purpose of this study is to evaluate the risks faced by fed cattle producers. With the development of livestock insurance programs as part of the Agricultural Risk Protection Act of 2000, a thorough investigation into the probabilistic measures of individual risk factors is needed. This...

Cattle feeding enterprises operate amid variability originating in prices and production. Thisresearch explicitly models yield risks related to cattle feeding by relating the mean and varianceof yield performance factors to observable conditioning variables. The results demonstratethat pen...

Crop yield and revenue insurance products with coverage based on actual production history(APH) yields dominate the U.S. Federal Crop Insurance Program. The APH yield, which plays acritical role in determining the coverage offered to producers, is based on a small sample ofhistorical yields for...

This article focuses on the modeling of agricultural yield data using hierarchical Bayesian models. In recovering the generating process of these data, we consider the temporal, spatial and spatio-temporal relationships pertinent to the prediction and pricing of insurance contracts based on...

The objective of this study is to evaluate and model the risks of corn and soybean production. This study focuses on the risk of revenue variability that arises from changes in prices, yields shortfalls or both. There are several models for price and yield risk factors for corn and soybeans. For...

The objective of this study is to evaluate and model the yield risk associatedwith major agricultural commodities in the U.S. We are particularly concernedwith the nonstationary nature of the yield distribution, which primarily arisesbecause of technological progress and changing environmental...

Testing for the ratio of binomial proportions (often called the relative risk) is quite common in clinical trials and epidemiology study or more generally in the pharmaceutical setting. Although this is an easy problem when we have large sample sizes, it becomes more challenging when sample...

Value at Risk and the Expected Shortfall are two measurements of market risks for financial assets. Statistically, they are extreme quantiles of the distribution of financial log returns. Though financial log return data are usually both heteroscedastic and fatter-tailed, most of the existing...

The mean residual life function (mrlf) of a subject is defined as the expected remaining (residual) lifetime of the subject given that the subject has survived up to a given time point. It is well known that under mild regularity conditions, an mrlf determines the probability distribution...