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Jen Tang

Jen Tang

· Professor

Purdue University · Quantitative Methods

Active 1987–2024

h-index18
Citations997
Papers401 last 5y
Funding

Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.

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Research topics

  • Artificial Intelligence
  • Data Mining
  • Computer Science
  • Statistics
  • Algorithm
  • Mathematics

Selected publications

  • Determination of burn‐in parameters and residual life for highly reliable products

    Naval Research Logistics (NRL) · 2002-12-20 · 158 citations

    article

    Abstract Today, many products are designed and manufactured to function for a long period of time before they fail. Determining product reliability is a great challenge to manufacturers of highly reliable products with only a relatively short period of time available for internal life testing. In particular, it may be difficult to determine optimal burn‐in parameters and characterize the residual life distribution. A promising alternative is to use data on a quality characteristic (QC) whose deg…

  • Estimating failure time distribution and its parameters based on intermediate data from a Wiener degradation model

    Naval Research Logistics (NRL) · 2008-02-22 · 70 citations

    articleOpen access1st authorCorresponding

    Abstract Instead of measuring a Wiener degradation or performance process at predetermined time points to track degradation or performance of a product for estimating its lifetime, we propose to obtain the first‐passage times of the process over certain nonfailure thresholds. Based on only these intermediate data, we obtain the uniformly minimum variance unbiased estimator and uniformly most accurate confidence interval for the mean lifetime. For estimating the lifetime distribution function, we…

  • Statistical equivalency and optimality of simple step‐stress accelerated test plans for the exponential distribution

    Naval Research Logistics (NRL) · 2012-12-20 · 26 citations

    articleSenior author

    Abstract Accelerated life testing (ALT) is commonly used to obtain reliability information about a product in a timely manner. Several stress loading designs have been proposed and recent research interests have emerged concerning the development of equivalent ALT plans. Step‐stress ALT (SSALT) is one of the most commonly used stress loadings because it usually shortens the test duration and reduces the number of required test units. This article considers two fundamental questions when designin…

  • Minimum cost allocation of quality improvement targets under supplier process disruption

    European Journal of Operational Research · 2013-02-09 · 24 citations

    articleSenior author
  • Exact bayesian estimation of system reliability from component test data

    Naval Research Logistics (NRL) · 1997-02-01 · 24 citations

    article1st authorCorresponding

    System reliability is often estimated by the use of components' reliability test results when system test data are not available, or are very scarce. A method is proposed for computing the exact posterior probability density function, cumulative distribution function, and credible intervals for system reliability in a Bayesian setting, with the use of components' prior probability distributions and current test results. The method can be applied to series, parallel, and many mixed systems. Altho…

Frequent coauthors

  • Robert Plante

    Purdue University West Lafayette

    12 shared
  • Herbert Moskowitz

    Purdue University West Lafayette

    12 shared
  • Kwei Tang

    National Chengchi University

    12 shared
  • Weijia Wang

    Emory University

    4 shared
  • Sheng‐Tsaing Tseng

    National Tsing Hua University

    3 shared
  • Regina Y. Liu

    Rutgers, The State University of New Jersey

    2 shared
  • Peter Sing-Lai Lam

    PAREXEL International (United States)

    2 shared
  • Suresh Chand

    Purdue University West Lafayette

    2 shared

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