估计可以省下一大笔供热费用，但装置的可靠性是屋主选择安装它的第一理由。
Estimates of how much they will save in fuel costs vary widely, but the lack of reliable information was one reason the couple chose to install them.
数据融合方法采用经典的自适应加权融合估计算法，配合智能判别技术，增强了火灾特征识别的可靠性。
Combined with intelligent recognition technology, data fusion technology adopts the classical self-adapting weighting fusion algorithm to increase the reliability of fire characteristics recognition.
结合实例说明了含有删失数据的可靠性函数估计的几种方法，对于现场寿命数据分析与可靠性评估具有参考价值。
Illustrated with examples, it has reference value for the field life data analysis and reliability evaluation, illustrating several estimation methods concerning reliability function of deleted data.
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