## An experimental comparision of Bayesian and non-Bayesian techniques |

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### Contents

Dirchlet Prior | 5 |

EXPERIMENTAL PROCEDURE | 11 |

Normal Prior and Posterior Mean | 14 |

3 other sections not shown

### Common terms and phrases

Aavaani adjusted for subject's adjusted normal prior Analysis of Variance Bayesian estimators Bayesian method Bayesian statistics Beta distribution C^snL8eun C^snL8v Cecily Caroline Hall classical estimators Cn irH H CN rH components of variance computed Dirchlet prior updated efficient as random Expected Mean Square F-test factorial experiment fifty percent confidence hundred rocks Jessen judgment sample marginal Beta mean square error mean weight Mojito normal and Dirchlet normal prior updated normal with random normally distributed number of rocks obtain OFCAlIFO OFCAllFOff ounce or gram parameter percent confidence interval population Posterior Distribution Means posterior mean preliminary tests prior distribution prior probability distribution Prior X Sampling raw data Relative Efficiency rH CN sample mean sample of four sample unadjusted Sampling X Background SB SB Section simple random sampling square error comparison subject number subject's conception subject's ounce subject's prior Sum of Squares Table tiny rocks UNIVERS/a updated with random VD CN x2ti y<?Aavaani y0Aavaan