创新英语怎么说:我有一段汽车专业英语英文。有没有人愿意帮我翻译？6业纸，不胜感激

This paper proposes a general mixture model framework for automobile warranty data that includes parameters for product field
performance, the manufacturing and assembly process, and dealer preparation process. The model fits warranty claims as a mixture of
manufacturing or assembly defects (quality problems) and usage related failures (reliability problems). The model also estimates the fraction
of vehicles containing a manufacturing or assembly defect when leaving the assembly plant. This parameter measures the quality of the entire
vehicle production process, i.e. component manufacturing and final assembly. The model also measures the proportion of manufacturing or
assembly defects repaired by the automobile dealer prior to customer delivery. This conditional probability quantifies the ability of the
vehicle preparation process to identify and repair defects prior to customer delivery. To apply the model to field failure or warranty data, the
practitioner must identify parametric distributions for each of the two failure processes. To demonstrate the model, this paper develops a
Weibull-Uniform mixture for manufacturer supplied warranty claim data.
q 2003 Elsevier Science Ltd. All rights reserved.
Keywords: Automobile warranty data; Mixture distributions; Field failure data; Maximum likelihood estimation