three-dimensional position measurements by global positioning system (gps) provide purely geometrical estimate of low earth orbiters (leos) positions. it provides uninterrupted tracking of the leos in three spatial dimensions or the so-called kinematic orbit. this solution relies heavily on the observations. high frequency observation noise, outlying observations and low redundancy number of me...

Econometric models are a powerful tool for analyzing regional issues. Complex models are normally intractable and require special estimation methods. Maximum simulated likelihood estimation (MSLE) techniques have become popular in recent years, and are being included in new software releases (such as STATA and Limdep). It is important that analysts understand the relative performance of differe...

The real world phenomena being observed by sensors are generally non-stationary in nature. The classical linear techniques for analysis and modeling natural time-series observations are inefficient and should be replaced by non-linear techniques of whose theoretical aspects and performances are varied. In this manner adopting the most appropriate technique and strategy is essential in evaluatin...

A common feature of ecological data sets is their tendency to contain many zero values. Statistical inference based on such data are likely to be inefficient or wrong unless careful thought is given to how these zeros arose and how best to model them. In this paper, we propose a framework for understanding how zero-inflated data sets originate and deciding how best to model them. We define and ...

We report on radio and X-ray monitoring observations of the BHC Swift J1753.5-0127 taken over a ∼ 10 year period. Presented are daily radio observations at 15 GHz with the AMI-LA and X-ray data from Swift XRT and BAT. Also presented is a deep 2hr JVLA observation taken in an unusually low-luminosity soft-state (with a low disk temperature). We show that although the source has remained relative...

In a dose-response study, there are frequently multiple goals and not all planned observations are realized at the end of the study. Subjects drop out and the initial design can be quite different from the final design. Consequently, the final design can be inefficient. Single- and multiple-objective Bayesian optimal designs that account for potentially missing observations in quantal response ...