Weak convergence of empirical processes for non-stationary strong mixing sequences and their applications to asymptotic normality and efficiency of linear rank statistics

• Author / Creator

  Rao, Madiraju Sudhakara

• Subjects / Keywords

  • Convergence.
  • Random variables.
  • Asymptotic efficiencies (Statistics)
  • Ranking and selection (Statistics)

• Graduation date

  1974

• Type of Item

  Thesis

• Degree

  Doctor of Philosophy in Mathematical Statistics

• DOI

  https://doi.org/10.7939/r3-xe6x-1g61

• License

  This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for the purpose of private, scholarly or scientific research. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.