1. The random variable z describes the observation of a physical phenomenon whose statistical description depends of one of two hypotheses. Conditioned on hypothesis H₁, the random variable z is Erlang (3,0.1), while conditioned on hypothesis Ho, the random variable z is Erlang (1,0.1). If Pr{H} = 0.65, and Pr{H} = 0.35, a) develop the likelihood ratio to implement a MAP decision test in order to decide between the two hypotheses. b) Obtain the probability of error of the test. c) If z=15.5, what decision results from the test?

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**Problem Description:**

1. The random variable \( z \) describes the observation of a physical phenomenon whose statistical description depends on one of two hypotheses. Conditioned on hypothesis \( H_1 \), the random variable \( z \) follows an Erlang distribution with parameters \( (3, 0.1) \). Conditioned on hypothesis \( H_0 \), the random variable \( z \) follows an Erlang distribution with parameters \( (1, 0.1) \).

   The prior probabilities are given as:
   \[
   \Pr\{H_1\} = 0.65, \quad \Pr\{H_0\} = 0.35
   \]

   Tasks:
   a) Develop the likelihood ratio to implement a MAP (Maximum A Posteriori) decision test in order to decide between the two hypotheses.

   b) Obtain the probability of error of the test.

   c) If \( z = 15.5 \), determine the decision result from the test.
Transcribed Image Text:**Problem Description:** 1. The random variable \( z \) describes the observation of a physical phenomenon whose statistical description depends on one of two hypotheses. Conditioned on hypothesis \( H_1 \), the random variable \( z \) follows an Erlang distribution with parameters \( (3, 0.1) \). Conditioned on hypothesis \( H_0 \), the random variable \( z \) follows an Erlang distribution with parameters \( (1, 0.1) \). The prior probabilities are given as: \[ \Pr\{H_1\} = 0.65, \quad \Pr\{H_0\} = 0.35 \] Tasks: a) Develop the likelihood ratio to implement a MAP (Maximum A Posteriori) decision test in order to decide between the two hypotheses. b) Obtain the probability of error of the test. c) If \( z = 15.5 \), determine the decision result from the test.
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