## Bayes Strategies and Human Information Seeking |

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according to formula act optimally allotment of observations analysis of variance apprehension of information average loss Bayes strategy Bayes's theorem Bayesian bE[z behaviour in experiment chapter choice of hypothesis choosing the hypothesis chosen comparisons concerning consistent corresponding data model decision theory decision-making defined dependent describe deviations discussion efficiency estimation strategy expected value experiment AlP experiment H experiments proper fixed samples follow the Bayes Friedman's analysis given gives go(p greater hypothesis testing individual apprehension individual behaviour likelihood ratio linear lists loss function ment non-negative parameter number of observations obtained optimal behaviour periment point estimation possible posterior probabilities prior distribution prior probability product-moment correlations Psychol quantity Results of Experiment sampling plan sequences sequential allotment Sequential Analysis sequential sampling ss show statistical models statistician stochastic stopping rule subjective apprehension Subjective Probability tion total loss trials two-sided sign test values of M/c variable vations well-defined situation Wiley