SIMG-716 Linear Imaging Mathematics I, Handout 05 1 1-D STOCHASTIC FUNCTIONS — NOISE
... p = 0.75, hni = 75.05, σ2 = 18.68; (b) Poisson, λ = 75, hni = 74.86, σ2 = 74.05; (c) binomial, p = 0.25, hni = 24.93, σ2 = 18.77; (d) Poisson, λ = 25, hni = 25.01, σ2 = 24.85; (e) binomial, p = 0.05, hni = 5.00, σ2 = 4.71; (f) Poisson, λ = 5, hni = 4.97, σ2 = 4.97. ...
... p = 0.75, hni = 75.05, σ2 = 18.68; (b) Poisson, λ = 75, hni = 74.86, σ2 = 74.05; (c) binomial, p = 0.25, hni = 24.93, σ2 = 18.77; (d) Poisson, λ = 25, hni = 25.01, σ2 = 24.85; (e) binomial, p = 0.05, hni = 5.00, σ2 = 4.71; (f) Poisson, λ = 5, hni = 4.97, σ2 = 4.97. ...
REI
... variables, expectation and variance, joint conditional and marginal distributions, distributions of functions of random variable. Syllabus for RE II Note : This test will have questions on Economics, Statistics and Mathematics. However, there will be sufficient number of alternative questions to ans ...
... variables, expectation and variance, joint conditional and marginal distributions, distributions of functions of random variable. Syllabus for RE II Note : This test will have questions on Economics, Statistics and Mathematics. However, there will be sufficient number of alternative questions to ans ...
Solutions to problems 1-25
... Similarly with 8 games there are 28 = 256 equally likely outcomes and this time P (Y = 5) = 56×0.58 = 0.2188 so the former is larger. For part (b) remember that X ≥ 3 means all the outcomes with at least 3 wins out of 4 etc and that we sum probabilities over mutually exclusive outcomes. Doing the ca ...
... Similarly with 8 games there are 28 = 256 equally likely outcomes and this time P (Y = 5) = 56×0.58 = 0.2188 so the former is larger. For part (b) remember that X ≥ 3 means all the outcomes with at least 3 wins out of 4 etc and that we sum probabilities over mutually exclusive outcomes. Doing the ca ...
Exponential Distribution
... frequently comes in a short while and once in a while, it may come pretty late. ...
... frequently comes in a short while and once in a while, it may come pretty late. ...
Test 1 Review
... d. The probability that Alex will pass exactly one course is the probability that Alex will pass only algebra or Alex will pass only history. Since these two things are mutually exclusive (the probability that Alex will pass both is 0), then we just need to add the probabilities together to get 0.55 ...
... d. The probability that Alex will pass exactly one course is the probability that Alex will pass only algebra or Alex will pass only history. Since these two things are mutually exclusive (the probability that Alex will pass both is 0), then we just need to add the probabilities together to get 0.55 ...
as a PDF
... [1] O. Cappé, “Recursive computation of smoothed functionals of hidden Markovian processes using a particle approximation,” Monte Carlo Methods and Applications, vol. 7, no. 1–2, pp. 81–92, 2001. [2] P. Del Moral and J. Jacod, “Interacting particle filtering with discrete observations,” in Sequenti ...
... [1] O. Cappé, “Recursive computation of smoothed functionals of hidden Markovian processes using a particle approximation,” Monte Carlo Methods and Applications, vol. 7, no. 1–2, pp. 81–92, 2001. [2] P. Del Moral and J. Jacod, “Interacting particle filtering with discrete observations,” in Sequenti ...
Statistics for Managers Using Microsoft Excel, 3/e
... Probability is the numerical measure of the likelihood that an event will occur ...
... Probability is the numerical measure of the likelihood that an event will occur ...
Glencoe Geometry
... EATING OUT Michelle and Christina are going out to lunch. They put 5 green slips of paper and 6 red slips of paper into a bag. If a person draws a green slip, they will order a hamburger. If they draw a red slip, they will order pizza. Suppose Michelle draws a slip. Not liking the outcome, she puts ...
... EATING OUT Michelle and Christina are going out to lunch. They put 5 green slips of paper and 6 red slips of paper into a bag. If a person draws a green slip, they will order a hamburger. If they draw a red slip, they will order pizza. Suppose Michelle draws a slip. Not liking the outcome, she puts ...
Statistics for Managers Using Microsoft Excel, 3/e
... Probability is the numerical measure of the likelihood that an event will occur ...
... Probability is the numerical measure of the likelihood that an event will occur ...
CHAP06 Probability and the Binomial Theorem
... But in choosing a subset from {1, 2, …, n} there are 2 possibilities for each of these numbers – either it is in the subset or it is not. So the total number of subsets is 2n. Example 3: In how many ways can eight people be seated in a theatre with five seats in one row and three in the row behind? ...
... But in choosing a subset from {1, 2, …, n} there are 2 possibilities for each of these numbers – either it is in the subset or it is not. So the total number of subsets is 2n. Example 3: In how many ways can eight people be seated in a theatre with five seats in one row and three in the row behind? ...
pptx
... Law of total probability: Let E1, …, En are a partition of all possibilities of events. Then for any event A: Pr[A] = i Pr[A ∧ Ei] = i Pr[A | Ei] · Pr[Ei] Bayes’s Theorem: If Pr(B) ≠ 0 then Pr(A | B) = Pr(B | A) . Pr(A) / Pr(B) ...
... Law of total probability: Let E1, …, En are a partition of all possibilities of events. Then for any event A: Pr[A] = i Pr[A ∧ Ei] = i Pr[A | Ei] · Pr[Ei] Bayes’s Theorem: If Pr(B) ≠ 0 then Pr(A | B) = Pr(B | A) . Pr(A) / Pr(B) ...
Discrete Random Variables and Probability
... part (b) in Example 3.4, first compute lambda ( λ ) = 0.01 . Double click any variable, say VAR2, to obtain Figure 3.5 and in the formula box at the bottom, write the formula “= 1Poisson (0, 0.01).” Click OK and then Yes again for the Expression OK Dialogue as shown in Figure 3.2, to get (0.009955) ...
... part (b) in Example 3.4, first compute lambda ( λ ) = 0.01 . Double click any variable, say VAR2, to obtain Figure 3.5 and in the formula box at the bottom, write the formula “= 1Poisson (0, 0.01).” Click OK and then Yes again for the Expression OK Dialogue as shown in Figure 3.2, to get (0.009955) ...
CHAPTER A: Descriptive Statistics
... Note: We can also compute geometric probabilities using the Function Browser as in the case of binomial probabilities. Also cumulative probability can be calculated using the function IGeom x, p . ...
... Note: We can also compute geometric probabilities using the Function Browser as in the case of binomial probabilities. Also cumulative probability can be calculated using the function IGeom x, p . ...