• DocumentCode
    3387233
  • Title

    Linear logistic regression: an introduction

  • Author

    Haifley, Tim

  • Author_Institution
    Cypress Semicond. Corp., San Jose, CA, USA
  • fYear
    2002
  • fDate
    21-24 Oct. 2002
  • Firstpage
    184
  • Lastpage
    187
  • Abstract
    This paper provides an introduction to Linear Logistic Regression and its value in semiconductor yield and reliability analysis. The reliability community has become well experienced in fitting of survival distributions, the use of design of experiments (DOE) and the associated general linear model (linear regression and analysis of variance methods) approach to analysis. This method provides a solution to the general linear model when the dependent variable is nominal, either a dichotomous (two level), polychotomous (multi-level) or even ordered polychotomous response.
  • Keywords
    reliability theory; statistical analysis; linear logistic regression; reliability analysis; semiconductor technology; statistical methodology; yield analysis; Analysis of variance; Biological system modeling; Electrostatic discharge; Linear regression; Logistics; Probability; Semiconductor device reliability; Stress; Testing; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Integrated Reliability Workshop Final Report, 2002. IEEE International
  • Print_ISBN
    0-7803-7558-0
  • Type

    conf

  • DOI
    10.1109/IRWS.2002.1194264
  • Filename
    1194264