Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Conditional optimal spacing in exponential distribution.

Sangun Park1

  • 1Department of Applied Statistics, College of Economics and Business, Yonsei University, Shinchon Dong 134, Seoul, Republic of Korea. sangun@yonsei.ac.kr

Lifetime Data Analysis
|September 9, 2006
PubMed
Summary

This study introduces conditional optimal spacing for determining optimal inspection times in grouped inspection plans. This method simplifies finding optimal inspection schedules for reliability analysis using exponential distributions.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Object detection models and active learning for improvement of e-waste collection management systems in Korea.

Waste management (New York, N.Y.)·2025
Same author

Hetero-Integration of Silicon Nanomembranes with 2D Materials for Bioresorbable, Wireless Neurochemical System.

Advanced materials (Deerfield Beach, Fla.)·2022
Same author

Multipath Lightweight Deep Network Using Randomly Selected Dilated Convolution.

Sensors (Basel, Switzerland)·2021
Same author

Three-Dimensional Vascularized Lung Cancer-on-a-Chip with Lung Extracellular Matrix Hydrogels for In Vitro Screening.

Cancers·2021
Same author

Highly Sensitive On-Skin Temperature Sensors Based on Biocompatible Hydrogels with Thermoresponsive Transparency and Resistivity.

Advanced healthcare materials·2021
Same author

Information Measure in Terms of the Hazard Function and Its Estimate.

Entropy (Basel, Switzerland)·2021

Area of Science:

  • Statistics
  • Reliability Engineering
  • Operations Research

Background:

  • Optimal spacing is crucial for efficient data collection and analysis in statistical studies.
  • Grouped inspection plans are widely used in quality control and reliability engineering to optimize resource allocation.
  • Determining optimal inspection times is essential for maximizing the information gained while minimizing costs.

Purpose of the Study:

  • To introduce and define the concept of conditional optimal spacing.
  • To demonstrate how conditional optimal spacing can be used to determine optimal inspection times for grouped inspection.
  • To provide a simple method for calculating conditional optimal spacing, exemplified with the exponential distribution.

Main Methods:

  • Definition of conditional optimal spacing based on predetermined order statistics.

Related Experiment Videos

  • Application of conditional optimal spacing to determine optimal inspection times under a specified censoring time.
  • Illustrative example using the exponential distribution to derive conditional optimal spacing.
  • Main Results:

    • The conditional optimal spacing is proposed as a novel metric for optimizing inspection schedules.
    • A clear methodology is presented for deriving optimal inspection times from conditional optimal spacing.
    • A straightforward method for calculating conditional optimal spacing for exponential distributions is provided.

    Conclusions:

    • Conditional optimal spacing offers a valuable tool for optimizing grouped inspection plans.
    • The proposed method simplifies the determination of optimal inspection times, enhancing efficiency in reliability studies.
    • The findings are particularly applicable to scenarios involving exponential distributions and censoring.