Consider the ML estimator ij = p i+ p +j of ij for the independence
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Consider the ML estimator π̂ij = pi+ p+j of πij for the independence model, when that model does not hold. Show that E(pi+ p+j) = πi+ π+j(n–1)/n + πij/n. To what does π̂ij converge as n increases?
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