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Logistic and Multiple Regression: A Two-Pronged Approach to Accurately Estimate Cost Growth in Major DoD Weapon Systems

机译：Logistic和multiple Regression：一种准确估计主要国防部武器系统成本增长的双管齐下方法

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This research confirms the usefulness of the logistic and multiple regression two-step procedure for assessing cost growth in major DoD weapon systems. We compile programmatic data from the Selected Acquisition Reports (SARs) between 1990 and 2002 for programs covering all defense departments. Our analysis concentrates on cost growth in the procurement appropriations of the Engineering and Manufacturing Development phase of acquisitions. We investigate the use of logistic regression in cost growth analysis to predict whether or not cost growth will occur in a program. If applicable, multiple regression is implemented to predict how much cost growth will occur. Our study focuses on the estimating and support SAR cost variance categories within the procurement appropriations. We study each of these categories individually for significant cost growth characteristics and develop predictive models for each.

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作者
Rossetti, M. B.;
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年度 2004
页码 1-114
总页数 114
原文格式 PDF
正文语种 eng
中图分类工业技术;
关键词
Defense systems; Weapon systems; Cost estimates; Manufacturing; Acquisition; Predictions; Cost analysis; Growth(General); Theses; Regression analysis; Logistics; Military procurement;

机译：防御系统;武器系统;成本估算;制造;采购;预测;成本分析;增长（一般）;论文;回归分析;后勤;军事采购;

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Logistic and Multiple Regression: A Two-Pronged Approach to Accurately Estimate Cost Growth in Major DoD Weapon Systems

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