Description

In the presence of correlation, generalized linear models cannot be employed to obtain regression parameter estimates. To appropriately address the extravariation due to correlation, methods to estimate and model the

In the presence of correlation, generalized linear models cannot be employed to obtain regression parameter estimates. To appropriately address the extravariation due to correlation, methods to estimate and model the additional variation are investigated. A general form of the mean-variance relationship is proposed which incorporates the canonical parameter. The two variance parameters are estimated using generalized method of moments, negating the need for a distributional assumption.

Reuse Permissions
  • 685.5 KB application/pdf

    Download count: 0

    Details

    Contributors
    Date Created
    • 2018
    Resource Type
  • Text
  • Collections this item is in
    Note
    • Partial requirement for: Ph.D., Arizona State University, 2018
      Note type
      thesis
    • Includes bibliographical references (pages 68-72)
      Note type
      bibliography
    • Field of study: Statistics

    Citation and reuse

    Statement of Responsibility

    by Katherine E. Irimata

    Machine-readable links