Likelihood ratio decisions in memory: Three implied regularities

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Likelihood ratio decisions in memory: three implied regularities.

We analyze four general signal detection models for recognition memory that differ in their distributional assumptions. Our analyses show that a basic assumption of signal detection theory, the likelihood ratio decision axis, implies three regularities in recognition memory: (1) the mirror effect, (2) the variance effect, and (3) the z-ROC length effect. For each model, we present the equations...

متن کامل

Likelihood Ratio Tests with Three-Way Tables

Likelihood ratio (LR) tests for association and for interaction are examined for three-way contingency tables, in particular, the widely used 2 2 K tables. Mutual information identities are used to characterize the information decomposition and the logical relations between the omnibus LR test for conditional independence across K strata and its two independent components, the LR tests for homo...

متن کامل

Three regularities of recognition memory: the role of bias.

A basic assumption of Signal Detection Theory is that decisions are made on the basis of likelihood ratios. In a preceding paper, Glanzer, Hilford, and Maloney (Psychonomic Bulletin & Review, 16, 431-455, 2009) showed that the likelihood ratio assumption implies that three regularities will occur in recognition memory: (1) the Mirror Effect, (2) the Variance Effect, (3) the normalized Receiver ...

متن کامل

Likelihood ratio sequential sampling models of recognition memory.

The mirror effect - a phenomenon whereby a manipulation produces opposite effects on hit and false alarm rates - is benchmark regularity of recognition memory. A likelihood ratio decision process, basing recognition on the relative likelihood that a stimulus is a target or a lure, naturally predicts the mirror effect, and so has been widely adopted in quantitative models of recognition memory. ...

متن کامل

Likelihood-Based Statistical Decisions

In this paper, a nonadditive quantitative description of uncertain knowledge about statistical models is obtained by extending the likelihood function to sets and allowing the use of prior information. This description, which has the distinctive feature of not being calibrated, is called relative plausibility. It can be updated when new information is obtained, and it can be used for inference ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Psychonomic Bulletin & Review

سال: 2009

ISSN: 1069-9384,1531-5320

DOI: 10.3758/pbr.16.3.431