ECE 695A Lecture 32: Physical vs. Empirical Distribution

By Muhammad Alam

Electrical and Computer Engineering, Purdue University, West Lafayette, IN

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Abstract

Outline:

  • Physical Vs. empirical distribution
  • Properties of classical distribution function
  • Moment-based fitting of data
  • Conclusions

Cite this work

Researchers should cite this work as follows:

  • Muhammad Alam (2013), "ECE 695A Lecture 32: Physical vs. Empirical Distribution," https://nanohub.org/resources/17585.

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Time

Location

EE 226, Purdue University, West Lafayette, IN

Tags

  1. course lecture
  2. experiments
  3. nanoelectronics
  4. reliability
ECE 695A Lecture 32: Physical vs. Empirical Distribution
  • Lecture 32: Physical vs. Empirical distribution 1. Lecture 32: Physical vs. Empir… 0
    00:00/00:00
  • Copyright 2013 2. Copyright 2013 53.219886553219887
    00:00/00:00
  • Outline 3. Outline 54.454454454454456
    00:00/00:00
  • Data vs. Hypothesis 4. Data vs. Hypothesis 91.3913913913914
    00:00/00:00
  • Statistical Distribution is Physical 5. Statistical Distribution is Ph… 388.988988988989
    00:00/00:00
  • Outline 6. Outline 892.42575909242578
    00:00/00:00
  • Choosing distribution function 7. Choosing distribution function 918.81881881881884
    00:00/00:00
  • Two parameter family: Normal distribution 8. Two parameter family: Normal d… 1003.2032032032032
    00:00/00:00
  • Two parameter family: log-normal distribution 9. Two parameter family: log-norm… 1388.0880880880882
    00:00/00:00
  • Two parameter family: Weibull distribution 10. Two parameter family: Weibull … 1456.8902235568903
    00:00/00:00
  • Empirical statistical distributions 11. Empirical statistical distribu… 1697.2972972972973
    00:00/00:00
  • Empirical statistical distributions 12. Empirical statistical distribu… 1885.8191524858191
    00:00/00:00
  • Definitions of distribution functions 13. Definitions of distribution fu… 1977.1104437771105
    00:00/00:00
  • Example: Derivation of hazard function 14. Example: Derivation of hazard … 2117.1838505171841
    00:00/00:00
  • Discrete Transform: because data is discrete 15. Discrete Transform: because da… 2173.6403069736402
    00:00/00:00
  • Transformation among reliability functions 16. Transformation among reliabili… 2317.8845512178846
    00:00/00:00
  • Series and parallel systems: how to use the distribution functions 17. Series and parallel systems: h… 2400
    00:00/00:00
  • Outline 18. Outline 2598.898898898899
    00:00/00:00
  • Matching moments to distributions 19. Matching moments to distributi… 2612.746079412746
    00:00/00:00
  • Problem of matching the moments 20. Problem of matching the moment… 2679.3793793793793
    00:00/00:00
  • Problem of matching distribution: BFRW 21. Problem of matching distributi… 2817.2839506172841
    00:00/00:00
  • Match apparently reasonable, but wrong 22. Match apparently reasonable, b… 2845.8124791458126
    00:00/00:00
  • Conclusions 23. Conclusions 2904.2375709042376
    00:00/00:00
  • References 24. References 3023.5902569235905
    00:00/00:00
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