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Showing 1 to 3 of 3 for “"Uniformly most powerful test"”.

  1. A UNIFORMLY MOST POWERFUL TEST FOR THE MEAN OF A BETA DISTRIBUTION

    … discussion on performing statistical hypothesis testing for the mean when it is reasonable to assume that the population is beta distributed. Many analysts conduct traditional analyses using a t-test or nonparametric approach, try transformations, or use standard maximum likelihood-based …

    sfasu Repository record for A UNIFORMLY MOST POWERFUL TEST FOR THE MEAN OF A BETA DISTRIBUTION (opens in a new tab)

  2. Constraints and invariance in target detection

    The concept of invariance in hypothesis testing is discussed for purposes of target detection. Invariant tests are proposed and analysed in two contexts. The first involves the use of cyclic permutation invariance as a solution to detecting targets with unknown location in noise. An invariance …

    cape-town Repository record for Constraints and invariance in target detection (opens in a new tab)

  3. PERFORMANCE OF COUNTING RULES FOR PRIMARY USER DETECTION

    … involving a finite and small number of sensors. Uniformly most powerful test for decentralized detection for testing parameter θ when the observation is a sample from uniform (0,θ) distribution is investigated and it is shown that OR rule has the best performance among all counting rules in error …

    siu-theses Repository record for PERFORMANCE OF COUNTING RULES FOR PRIMARY USER DETECTION (opens in a new tab)