![4. Arrivals of passengers at a bus stop form a Poisson process X(t) with rate ? = 2 per unit time. Assume that a bus departed at timet 0 leaving no customers behind. Let T denote the arrival time of the next bus. Then, the number of passengers present when it arrives is X(T) Suppose that the bus arrival time T is independent of the Poisson process and that T has the uniform probability density function 1,for 0t1, 0 ,elsewhere (a) Determine the conditional moments EX(T)T-t] and E(x(T))21T=t]. (b) Determine the mean E[X (T)] and variance Var[X(T)].](http://img.homeworklib.com/questions/02c6da10-3c32-11eb-83e1-d1b6e95250bf.png?x-oss-process=image/resize,w_560)
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4. Arrivals of passengers at a bus stop form a Poisson process X(t) with rate ?...
2. Suppose buses arrive at a bus stop according to an approximate Poisson process at a...
2. Suppose buses arrive at a bus stop according to an approximate Poisson process at a mean rate of 4 per hour (60 minutes). Let Y denote the waiting time in minutes until the first bus arrives. (a) (5 points) What is the probability density function of Y? (b) (5 points) Suppose you arrive at the bus stop. What is the probability that you have to wait less than 5 minutes for the first bus? (c) (5 points) Suppose 10...
C. In Regular Bus City, there is a shuttle bus that goes between Stop A and Stop B, with no stops...
Question D
C. In Regular Bus City, there is a shuttle bus that goes between Stop A and Stop B, with no stops in between. The bus is perfectly punctual and arrives at Stop A at precise five minute intervals (6:00, 6:05, 6:10, 6:15, etc.) day and night, at which point it immediately picks up all passengers waiting. Citizens of Regular Bus City arrive at Stop A at Poisson random times, with an average of 5 passengers arriving every minute,...
1. Let {x, t,f 0) and {Yǐ.12 0) be independent Poisson processes,with rates λ and 2A, respectivel...
1. Let {x, t,f 0) and {Yǐ.12 0) be independent Poisson processes,with rates λ and 2A, respectively. Obtain the conditionafdistributiono) Moreover, find EX Y X2t t given Yt-n, n = 1,2. 2, (a) Let T be an exponential random variable with parameter θ. For 12 0, compute (b) When Amelia walks from home to work, she has to cross the street at a certain point. Amelia needs a gap of a (units of time) in the traffic to cross the...
5. Let N(t) be a Poisson process with rate X and denote by S1, S2, S3,......
5. Let N(t) be a Poisson process with rate X and denote by S1, S2, S3,... the arrival (or jump) times. Compute i.e. the average distance between the first and the last event Hint: Denoted by U1,.... Un a family of independent, Unif0, 2 RV's, recall that S1|N(2)- (2) - nmaxU
06 Let {xW;t 203 follo ay Let 2X(4) t zo} follows the poisson process with average...
06 Let {xW;t 203 follo ay Let 2X(4) t zo} follows the poisson process with average arrival rate of 5 people per 1/2 hour. Find the probability of lo arrivals in the interval of 10 minutes to 20 minutes Find the probability that any arrival has to wait for more thon 15 minutes D> P(x(1) = 10 / X(20) = 15), d) PCX (20) = 15 / XCI) = 10) e> P(x(20) = 10 / PX(19) - 8, X(18) =...
3. (a) The bus 500 arrives at Liverpool Airport at a rate of A buses per...
3. (a) The bus 500 arrives at Liverpool Airport at a rate of A buses per hour. Assume that the arrivals form a Poisson process. Let X (t) be the number of buses that arrive in t hours. X(t) is distributed as Px(o(u)=e-Ar (Xt)" u! when u is a positive integer and 0 otherwise. Let Y be the amount of time that you must wait for the 3rd bus to arrive. The event X (t) < 3 (fewer than three...
7. Let x(t) be a Poisson process having rate 6 5. a) P(X(1)=2] b) P(X(2) = 31x(1)s 2] c) P(X(2) = 31x(4) = 5] d) EIX(1)] e) Var[X(1)] (1D 7. Let x(t) be a Poisson process having rate 6 5. a)...
7. Let x(t) be a Poisson process having rate 6 5. a) P(X(1)=2] b) P(X(2) = 31x(1)s 2] c) P(X(2) = 31x(4) = 5] d) EIX(1)] e) Var[X(1)] (1D
7. Let x(t) be a Poisson process having rate 6 5. a) P(X(1)=2] b) P(X(2) = 31x(1)s 2] c) P(X(2) = 31x(4) = 5] d) EIX(1)] e) Var[X(1)] (1D
1. Let {Xt;t >0} be a pure birth process with rate 1x > 0, for x...
1. Let {Xt;t >0} be a pure birth process with rate 1x > 0, for x € S = {0,1,2,...}. (a) Write the backward equations (KBE) and use it to solve for Prz(t). (b) Use the result to part (a) to show that the waiting time in state x, say Wx, is exponentially distributed (c) Suppose 1x = 1 is constant for all x E S. Prove by induction that Px-kx(t) = (at) ke Af/k! for k = 0,..., and...
1. Let (N(t))>o be a Poisson process with rate X, and let Y1,Y2, ... bei.i.d. random...
1. Let (N(t))>o be a Poisson process with rate X, and let Y1,Y2, ... bei.i.d. random variables. Fur- ther suppose that (N(t))=>0 and (Y)>1 are independent. Define the compound Poisson process N(t) Y. X(t) = Recall that the moment generating function of a random variable X is defined by ºx(u) = E[c"X]. Suppose that oy, (u) < for all u CR (for simplicity). (a) Show that for all u ER, ºx() (u) = exp (Atløy, (u) - 1)). (b) Instead...
dependent! 2) Suppose that {Xt}t is a Poisson process with rate r = 2 x 10-4...
dependent! 2) Suppose that {Xt}t is a Poisson process with rate r = 2 x 10-4 per day. Here t means time, a continuous variable. If we observe the success count of this poisson process what is the mean waiting time for observing the 10th success?
2. Suppose buses arrive at a bus stop according to an approximate Poisson process at a mean rate of 4 per hour (60 minutes). Let Y denote the waiting time in minutes until the first bus arrives. (a) (5 points) What is the probability density function of Y? (b) (5 points) Suppose you arrive at the bus stop. What is the probability that you have to wait less than 5 minutes for the first bus? (c) (5 points) Suppose 10...
Question D
C. In Regular Bus City, there is a shuttle bus that goes between Stop A and Stop B, with no stops in between. The bus is perfectly punctual and arrives at Stop A at precise five minute intervals (6:00, 6:05, 6:10, 6:15, etc.) day and night, at which point it immediately picks up all passengers waiting. Citizens of Regular Bus City arrive at Stop A at Poisson random times, with an average of 5 passengers arriving every minute,...
1. Let {x, t,f 0) and {Yǐ.12 0) be independent Poisson processes,with rates λ and 2A, respectively. Obtain the conditionafdistributiono) Moreover, find EX Y X2t t given Yt-n, n = 1,2. 2, (a) Let T be an exponential random variable with parameter θ. For 12 0, compute (b) When Amelia walks from home to work, she has to cross the street at a certain point. Amelia needs a gap of a (units of time) in the traffic to cross the...
5. Let N(t) be a Poisson process with rate X and denote by S1, S2, S3,... the arrival (or jump) times. Compute i.e. the average distance between the first and the last event Hint: Denoted by U1,.... Un a family of independent, Unif0, 2 RV's, recall that S1|N(2)- (2) - nmaxU
06 Let {xW;t 203 follo ay Let 2X(4) t zo} follows the poisson process with average arrival rate of 5 people per 1/2 hour. Find the probability of lo arrivals in the interval of 10 minutes to 20 minutes Find the probability that any arrival has to wait for more thon 15 minutes D> P(x(1) = 10 / X(20) = 15), d) PCX (20) = 15 / XCI) = 10) e> P(x(20) = 10 / PX(19) - 8, X(18) =...
3. (a) The bus 500 arrives at Liverpool Airport at a rate of A buses per hour. Assume that the arrivals form a Poisson process. Let X (t) be the number of buses that arrive in t hours. X(t) is distributed as Px(o(u)=e-Ar (Xt)" u! when u is a positive integer and 0 otherwise. Let Y be the amount of time that you must wait for the 3rd bus to arrive. The event X (t) < 3 (fewer than three...
7. Let x(t) be a Poisson process having rate 6 5. a) P(X(1)=2] b) P(X(2) = 31x(1)s 2] c) P(X(2) = 31x(4) = 5] d) EIX(1)] e) Var[X(1)] (1D
7. Let x(t) be a Poisson process having rate 6 5. a) P(X(1)=2] b) P(X(2) = 31x(1)s 2] c) P(X(2) = 31x(4) = 5] d) EIX(1)] e) Var[X(1)] (1D
1. Let {Xt;t >0} be a pure birth process with rate 1x > 0, for x € S = {0,1,2,...}. (a) Write the backward equations (KBE) and use it to solve for Prz(t). (b) Use the result to part (a) to show that the waiting time in state x, say Wx, is exponentially distributed (c) Suppose 1x = 1 is constant for all x E S. Prove by induction that Px-kx(t) = (at) ke Af/k! for k = 0,..., and...
1. Let (N(t))>o be a Poisson process with rate X, and let Y1,Y2, ... bei.i.d. random variables. Fur- ther suppose that (N(t))=>0 and (Y)>1 are independent. Define the compound Poisson process N(t) Y. X(t) = Recall that the moment generating function of a random variable X is defined by ºx(u) = E[c"X]. Suppose that oy, (u) < for all u CR (for simplicity). (a) Show that for all u ER, ºx() (u) = exp (Atløy, (u) - 1)). (b) Instead...
dependent! 2) Suppose that {Xt}t is a Poisson process with rate r = 2 x 10-4 per day. Here t means time, a continuous variable. If we observe the success count of this poisson process what is the mean waiting time for observing the 10th success?
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