We consider estimation of quantiles for soil texture profiles using data from the pilot project. Laboratory measurements of soil texture are considered the variable of interest.
Auxilary information is available in the form of field determinations of soil texture.
Jackknife methodology is used to obtain variance estimates. A Bayesian approach to this estimation problem is also considered. A hierarchical model is used to describe the relationships between observed data and unknown parameters. Soil horizon profiles are modeled as realizations of Markov Chains. Conditional on the horizon profile, transformed soil texture data are modeled as multivariate normal.