Let (X(t) : t ≥ 0) be a Poisson process of rate 2. Form a new process by deleting alternate arrivals from the process (X(t) : t ≥ 0) starting with the first (so we keep the 2nd, 4th, 6th etc.). Let (Y (t) : t ≥ 0) be the process which counts surviving arrivals. (i) Calculate P(Y (t) = 0) (ii) Determine the cumulative distribution function of the time of the first arrival in the process (Y(t) : t ≥ 0) (iii) Explain why this shows that (Y (t) : t ≥ 0) is not a Poisson process
Let (X(t) : t ≥ 0) be a Poisson process of rate 2. Form a new process by deleting alternate arrivals from the process (X(t) : t ≥ 0) starting with the first (so we keep the 2nd, 4th, 6th etc.). Let (Y (t) : t ≥ 0) be the process which counts surviving arrivals. (i) Calculate P(Y (t) = 0) (ii) Determine the cumulative distribution function of the time of the first arrival in the process (Y(t) : t ≥ 0) (iii) Explain why this shows that (Y (t) : t ≥ 0) is not a Poisson process
Trigonometry (MindTap Course List)
10th Edition
ISBN:9781337278461
Author:Ron Larson
Publisher:Ron Larson
Chapter6: Topics In Analytic Geometry
Section6.4: Hyperbolas
Problem 5ECP: Repeat Example 5 when microphone A receives the sound 4 seconds before microphone B.
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Let (X(t) : t ≥ 0) be a Poisson process of rate 2. Form a new process by deleting alternate arrivals from the process (X(t) : t ≥ 0) starting with the first (so we keep the 2nd, 4th, 6th etc.). Let (Y (t) : t ≥ 0) be the process which counts surviving arrivals.
(i) Calculate P(Y (t) = 0)
(ii) Determine the cumulative distribution
in the process (Y(t) : t ≥ 0)
(iii) Explain why this shows that (Y (t) : t ≥ 0) is not a Poisson process
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