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Linear Conditional Expectation for Discretized Distributions
Journal of Applied Statistics
  • Thaddeus Tarpey, Wright State University - Main Campus
  • Richard D. Sanders
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Many statistical methods for continuous distributions assume a linear conditional expectation. Components of multivariate distributions are often measured on a discrete ordinal scale based on a discretization of an underlying continuous latent variable. The results in this paper show that common examples of discretized bivariate and trivariate distributions will have a linear conditional expectation. Examples and simulations are provided to illustrate the results.
Citation Information
Thaddeus Tarpey and Richard D. Sanders. "Linear Conditional Expectation for Discretized Distributions" Journal of Applied Statistics Vol. 31 Iss. 3 (2004) p. 361 - 372 ISSN: 0266-4763
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