6.1.12 Suppose that (x1,..., xn) is a sample from a Geometric(θ) distribution, where θ ∈ [0,...

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6.1.12 Suppose that (x1,..., xn) is a sample from a Geometric(θ) distribution, where θ ∈ [0,...

6.1.12 Suppose that (x1,..., xn) is a sample from a Geometric(θ) distribution, where θ ∈ [0, 1] is unknown. Determine the likelihood function and a minimal sufficient statistic for this model. (Hint: Use the factorization theorem and maximize the logarithm of the likelihood.)

math Statistics-And-Probability

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6.1.12 Suppose that (x1,..., xn) is a sample from a Geometric(θ) distribution, where θ ∈ [0,...

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6.1.12 Suppose that (x1,..., xn) is a sample from a Geometric(θ) distribution, where θ ∈ [0,...

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