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Comments on parameter estimation for Restle's theory of cue learning   

derived for both pairs of estimators . The Simple Model. The likelihood function for the response of N subjects is. (1) N = {(1. -- c + w)/2 }'{(1 ......

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estimator W2 (n) has very low bias (cf. Example 3). and variance which is slightly lower than those of the. area estimators (cf. Example 6). 6 EXTENSIONS ......

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Szapudi et al., Higher Order Clustering up to z [sime] 1   

We employ both methods primarily to verify that the SS W2 results agree with those derived from the well-tested and widely used LS estimator . ......

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[Paper] Estimation of Orientation and Affine Transformations of a ...   

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