## Point Estimation in Learning Models |

### What people are saying - Write a review

We haven't found any reviews in the usual places.

### Common terms and phrases

1+x J-l All-or-None Model approximation assumption asymptotic variances asymptotically normal binomial distribution characteristic function choice of statistics computed conditional distribution considered consistent estimator correct response dissertation distribution theory distribution with parameters Doctor of Philosophy efficient entering the conditioned erroneous response estimate of g estimation methods estimation procedure estimators obtained expression finite sample follows fully adequate Graduate Division hence Hypotheses IE on trial ignored sufficient statistics L-Y L-l L+Sq last error learning models likelihood function linear model Maximum Likelihood Estimation method of moments min(k,s minimize minimum variance unbiased moments estimators based notation number of errors number of subjects OC OE p_ known pair Pr{l probability of entering q(L+SQ random variables read this thesis Second Modification second unconditioned sequence of responses simple form single subject Slutsky's Theorem small sample sn L-Y tioned transition matrix values variance unbiased estimator