Construction of Confounding Plans for Mixed Factorial Designs

  • White D
  • Hultquist R
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Abstract

The statistical problem treated is that of testing the hypothesis that n independent, identically distributed random variables have a specified continuous distribution function F(x). If Frx(x) is the empirical cumulative dis- tribution function and 4k(t) is some nonnegative weight funietion (0 < t < 1), we consider nW sup_,

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White, D., & Hultquist, R. A. (1965). Construction of Confounding Plans for Mixed Factorial Designs. The Annals of Mathematical Statistics, 36(4), 1256–1271. https://doi.org/10.1214/aoms/1177699997

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