Optimal Weights for a Vector of Independent Poisson Random Variables

Title & Authors
Optimal Weights for a Vector of Independent Poisson Random Variables
Kim, Joo-Hwan;

Abstract
Suppose one is given a vector X of a finite set of quantities $\small{X_i}$ which are independent Poisson random variables. A null hypothesis $\small{H_0}$ about E(X) is to be tested against an alternative hypothesis $\small{H_1}$. A quantity $\small{\sum\limits_{i}w_ix_i}$ is to be computed and used for the test. The optimal values of $\small{W_i}$ are calculated for three cases: (1) signal to noise ratio is used in the test, (2) normal approximations with unequal variances to the Poisson distributions are used in the test, and (3) the Poisson distribution itself is used. The above three cases are considered to the situations that are without background noise and with background noise. A comparison is made of the optimal values of $\small{W_i}$ in the three cases for both situations.
Keywords
Poisson signal;Hypothesis testing;Background noise;Power;Optimal weights;
Language
English
Cited by
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