Debasmita Mukherjee — New Contributor

Author of the Field Reliability Data Analysis article series. This author's archive lists contributions to articles and episodes.

About Debasmita Mukherjee

Debasmita has used statistical tools and techniques to analyze field data and explore and identify issues, as well as drive root cause investigation. Using automation, she led reliability data analysis at scale to graph performance trends over time.

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Normal Distribution in Reliability Analysis

Normal distribution is most common in real life scenarios be it modeling any reliability performance parameter at a specific time. Central Limit Theorem (CLT) shows why normal distribution occurs so often.

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Understanding Data Distribution in Reliability Analysis

Having a knowledge of how the data is distributed is critical to model failure times and life in reliability analysis. Every distribution is unique and suitable for different types of reliability data.

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Data Storytelling Using Histogram

In the current century, data is ubiquitous but how to make use of it to drive product decisions can take time and effort. Data visualization is a useful technique to identify patterns in a dataset and derive exploratory statistics to analyze trends.

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