A random sample of size 8 – x 1 = 1 , x 2 = 0 , x 3 = 1 , x 4 = 1 , x 5 = 0 , x 6 = 1 , x 7 = 1 , and x 8 = 0 –is taken from the probability function p X ( k ; θ ) = θ k ( 1 − θ ) 1 − k , k = 0 , 1 ; 0 < θ < 1 Find the maximum likelihood estimate for θ .
A random sample of size 8 – x 1 = 1 , x 2 = 0 , x 3 = 1 , x 4 = 1 , x 5 = 0 , x 6 = 1 , x 7 = 1 , and x 8 = 0 –is taken from the probability function p X ( k ; θ ) = θ k ( 1 − θ ) 1 − k , k = 0 , 1 ; 0 < θ < 1 Find the maximum likelihood estimate for θ .
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Discrete Distributions: Binomial, Poisson and Hypergeometric | Statistics for Data Science; Author: Dr. Bharatendra Rai;https://www.youtube.com/watch?v=lHhyy4JMigg;License: Standard Youtube License