Response Modeling Methodology - Empirical Modeling for Engineering and Science

H. Shore
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引用次数: 21

Abstract

Models of Systematic Variation in Engineering and the Sciences General Approaches to Modeling Systematic Variation General Models of Random Variation Empirical Modeling Axiomatic Derivation of the RMM Model Estimation Procedures The Error Distribution Modeling Systematic Variation-Applications: Hardware Reliability Models, Software Reliability-growth Models,Chemical-Engineering Models, Modeling and Forecasting S-shaped Diffusion Processes Modeling Random Variation-Applications: Distributional Approximations, General Control Charts for Attributes and for Variables, Inventory Analysis.
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响应建模方法-工程和科学的经验建模
工程和科学中系统变异建模的一般方法随机变异的一般模型经验建模RMM模型的公理化推导估计程序误差分布建模系统变异-应用:硬件可靠性模型,软件可靠性增长模型,化学工程模型,建模和预测s形扩散过程随机变异建模-应用:分布近似,属性和变量的一般控制图,库存分析。
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Reliability and Risk Analysis Encyclopedia and Handbook of Process Capability Indices - A Comprehensive Exposition of Quality Control Measures Modern Statistical and Mathematical Methods in Reliability Response Modeling Methodology - Empirical Modeling for Engineering and Science Multi-State System Reliability - Assessment, Optimization and Applications
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