Statistical Inference for Costs and Incremental Cost-Effectiveness Ratios with Censored Data. (May 2012) Shuai Chen, B.S., Peking University Co–Chairs of Advisory Committee: Dr. Hongwei Zhao Dr. Lan Zhou Cost-effectiveness analysis is widely conducted in the economic evaluation of new treatment options. In many clinical and observational studies of costs, data are often censored. Censoring brin...

The authors present a prognostic cost model that is shown to provide significantly more accurate estimates of life cycle costs for DoD programs. Unlike current cost estimation approaches, this model does not rely on the assumption of a fixed program baseline. Instead, the model presented here adopts a stochastic approach to program uncertainty, seeking to identify and incorporate top-level (i.e...

Estimating information systems project costs and benefits is a challenging endeavor and is notoriously prone to uncertainties and errors. The purpose of this study is to review research publications on quantitative estimating accuracy of costs and benefits (financial returns). The importance of the problem is due to the wide use of cost and benefits evaluations in making critical business decis...

This paper describes the development of parametric models for estimating operational reliability and maintainability (R&M) characteristics for reusable vehicle concepts, based on vehicle size and technology support level. A R&M analysis tool (RMAT) and response surface methods are utilized to build parametric approximation models for rapidly estimating operational R&M characteristics such as mi...

introduction earth's atmosphere plays an important role in preventing the temperature decrease. one of the principal factors of environmental pollution and the main source of earth's climate and biodiversity changes is greenhouse gas emissions from various sources, particularly agricultural sector. agriculture sector is considered as a major source of greenhouse gas sequestration, including me...

The current paper develops three different ways to measure the multi-period global cost efficiency for homogeneous networks of processes when the prices of exogenous inputs are known at all time periods. A multi-period network data envelopment analysis model is presented to measure the minimum cost of the network system based on the global production possibility set. We show that there is a rel...

This dissertation is about developing advanced selectivity and cost estimation techniques for query optimization in database systems. It addresses the following three issues related to current trends in database research: estimating the cost of spatial selections, building histograms without looking at data, and estimating the selectivity of XML path expressions. The first part of this disserta...

In this paper, the concept of Conjectural Variation (CV) is used to specify optimal generation decision for generation companies (Gencos). The conjecture of Genco is defined as its belief or expectation about the reaction of rivals to change of its output. Using CV method, each Genco has to learn and estimate strategic behaviors of other competitors from available historical market operation da...