Fuzzy Hypothesis Test by Poisson Test for Most Powerful Test

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A more powerful test for comparing two Poisson means

The problem of hypothesis testing about two Poisson means is addressed. The usual conditional test (C-test) and a test based on estimated p-values (E-test) are considered. The exact properties of the tests are evaluated numerically. Numerical studies indicate that the E-test is almost exact because its size seldom exceeds the nominal level, and it is more powerful than the C-test. Power calcula...

Trade and National Security: A Test for Best-Known Hypothesis

National security depends on soft power, the ability of a country to generate and use its economic power and to project its national values. It also depends on long-term factors that contribute to economic growth and increase the total resources base available not only for defense but to provide economic security in the form of income and business opportunities for individuals. The economic iss...

Detecting Multi-Dimensional Threats: a Comparison of Solution Separation Test and Uniformly Most Powerful Invariant Test

Integrity for GNSS (Global Navigation Satellite Systems) at user level is monitored by means of RAIM (Receiver Autonomous Integrity Monitoring) algorithms. Most RAIM algorithms are based on detection tests, which are able to detect and identify possible anomalies in the measurements and eventually exclude suspected measurements from the position solution or forward a warning to the pilot. In th...

Cloze test and c test