## Implementation of Modern Statistical Methods for Improving the Accuracy of Highway Laboratory and Field Data: A Manual |

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### Contents

Introduction | 1 |

Part | 2 |

Potential Benefits of Using the Proposed Methods | 11 |

7 other sections not shown

### Common terms and phrases

accident severity aggregate Column Number components compute initial estimates computer program covariance matrix data input defined in Eq degrees of freedom denote esti Estimated Results estimates of parameters estimation errors estimation procedure final estimate highway holds approximately I-th group i-th location idempotent matrix identity matrix IF(METHOD(I initial parameter estimates Least Squares Estimate limit to detect MDEG mean parameters mean vector median barrier noncentral chi-square distribution noncentrality normally distributed number of accidents number of parameters number of supplemental obtain percent Poisson distributed POISSON RATE population presented in Table priority list problem proportions of wet proposed estimation method proposed method proposed upper control random variable risk function roadway segments safety improvement sample averages sample covariance matrix sample size severity indices SHRINKING FACTOR Simulated Results small estimation improvement supplemental variables Theorem timates Total Number Trace upper control limit usual and proposed usual estimate values variance wet surface accidents