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The math of serial murder: Understanding victim numbers and series duration

Author

Listed:
  • Chai, April Miin Miin
  • Rossmo, D. Kim
  • Chopin, Julien
  • Yaksic, Enzo

Abstract

This study addresses the complex task of determining the criminal intensity posed by serial killers in a murder series by introducing the Lambda (− rate of killings) to adjust for the time span in a murder series. It focuses on examining factors related to the offender and the crime-commission process that influence victim count in a series. Methods: Generalized estimating equations with a negative binomial and a gamma log link function were used to examine factors predicting victim count in a sample of 1258 serial murder cases.

Suggested Citation

  • Chai, April Miin Miin & Rossmo, D. Kim & Chopin, Julien & Yaksic, Enzo, 2024. "The math of serial murder: Understanding victim numbers and series duration," Journal of Criminal Justice, Elsevier, vol. 91(C).
    • Handle: RePEc:eee:jcjust:v:91:y:2024:i:c:s0047235224000138
    DOI: 10.1016/j.jcrimjus.2024.102164
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    References listed on IDEAS

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    1. Chai, April Miin Miin & Yaksic, Enzo & Chopin, Julien & Fortin, Francis & Hewitt, Ashley, 2022. "Time after time: Factors predicting murder series' duration," Journal of Criminal Justice, Elsevier, vol. 81(C).
    2. Wei Pan, 2001. "Akaike's Information Criterion in Generalized Estimating Equations," Biometrics, The International Biometric Society, vol. 57(1), pages 120-125, March.
    3. Yaksic, Enzo & Simkin, Mikhail & Roychowdhury, Vwani, 2021. "A statistical study of the time intervals between serial homicides," Journal of Criminal Justice, Elsevier, vol. 73(C).
    Full references (including those not matched with items on IDEAS)

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