Geosynchronous Synthetic Aperture Radar (GEO SAR) is a possible next generation SAR system, which has the excellent performance of less than one-day revisit and hundreds of kilometres coverage. However, Radio Frequency Interference (RFI) is a serious problem, because the specified primary allocation frequencies are shared by the increasing number of microwave devices. More seriously, as the hig...

Hotdeck imputation replaces missing lines of data by sampled complete data records. The theory underpinning this method was published over a decade ago (Rubin and Schenker1986), and since its conception has remained predominantly unchanged. Most of the research involving hotdeck imputation has been in the area of constructing strata, which are used to impute within (independently), notably the ...

In many observational studies, researchers estimate treatment effects using propensity score matching techniques. Estimation of propensity scores are complicated when some values of the covariates are missing. We can use multiple imputation to create completed datasets, from which propensity scores can be computed; however, we may be sensitive to the accuracy of the imputation models. We propos...

We consider the relative performance of two common approaches to multiple imputation (MI): joint MI, in which the data are modeled as a sample from a joint distribution; and conditional MI, in which each variable is modeled conditionally on all the others. Implementations of joint MI are typically restricted in two ways: first, the joint distribution of the data is assumed to be multivariate no...

The demand for information concerning all facets of the production of agricultural commodities is constantly increasing. This demand is placing significant burden on the relatively few large and mid-sized producers that account for a disproportionally large percentage of all agricultural production. In particular, the demand for economic data from farm operations is especially intrusive of the ...

This paper describes a novel approach based on “proportional imputation” when identical units produced in a batch have random but independent installation as well as failure time. The current problem is motivated from a real life industrial productiondelivery system when identical units are shipped after production to a third party warehouse and then sold at a future date for possible installat...

High-dimensional data is becoming more prevalent with new technologies in biomedical sciences, imaging and the Internet. Many examples of this data often contain complex relationships between and among sets of variables. When arranged in the form of a matrix, this data is transposable, meaning that either the rows, columns or both can be treated as features. To model transposable data, we prese...

We consider an empirical likelihood inference for parameters defined by general estimating equations when some components of the random observations are subject to missingness. As the nature of the estimating equations is wide-ranging, we propose a nonparametric imputation of the missing values from a kernel estimator of the conditional distribution of the missing variable given the always obse...