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### Questions (13)

 5 Metropolis Hastings algorithm bivariate normals 2 Preprocessing on propensity score matched data 1 When is metropolis Hastings algorithm useful 1 predict() leaving out values instead of giving NA [closed] 1 Wikipedia's likelihood function of tobit model

### Reputation (358)

 +10 Calculate the $E[X]$ for the density function of $\frac{xe^{-\frac{x}{2}}}{4}$ +10 Preprocessing on propensity score matched data +10 predict() leaving out values instead of giving NA +10 When is metropolis Hastings algorithm useful

 3 Obtaining the UMVUE for $U(-\theta, \theta)$ for $\frac{\theta}{1+\theta}$ 2 How does the information in the problem statement and this solution align with the provided description of the method of moments? 2 Calculate the $E[X]$ for the density function of $\frac{xe^{-\frac{x}{2}}}{4}$ 1 confidence interval explanation 0 The law of total probability: $P(T > t, Z = 1) = \int_t^\infty P(\cap_{j = 2}^k \{ T_j > x \} ) \lambda_1 e^{- \lambda_1 x} \ dx$?

### Tags (36)

 3 self-study × 4 1 confidence-interval 3 umvue 0 markov-chain-montecarlo × 2 2 mathematical-statistics 0 logistic × 2 2 density-function 0 r × 2 2 method-of-moments 0 hessian × 2

### Bookmarks (1)

 6 Partial derivative of bivariate normal cdf and pdf