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2018•2018 2nd URSI Atlantic Radio Science Meeting (AT-RASC)Requires access

The Predictive Posterior Probability Density Function for the Rectangular Probability Model and its Application to EMC and RF Measurements

Carlo Carobbi

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Abstract

The predictive posterior probability density function in the case of rectangular probability model is here derived. An example of application of this probability density function to a calculation of measurement uncertainty of a radiofrequency measurement is also illustrated. This probability density function is particularly useful when no prior information is available concerning the distribution of a quantity (e.g. electromagnetic field) over a region of space or time interval.

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What this paper is about

The predictive posterior probability density function in the case of rectangular probability model is here derived. An example of application of this probability density function to a calculation of measurement uncertainty of a radiofrequency measurement is also illustrated. This probability density function is particularly useful when no prior information is available concerning the distribution of a quantity (e.g. electromagnetic field) over a region of space or time interval.

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Available abstract

The predictive posterior probability density function in the case of rectangular probability model is here derived. An example of application of this probability density function to a calculation of measurement uncertainty of a radiofrequency measurement is also illustrated. This probability density function is particularly useful when no prior information is available concerning the distribution of a quantity (e.g. electromagnetic field) over a region of space or time interval.

Key concepts: Probability density function, Probability distribution, Posterior probability, Quantile function, Probability mass function, Location parameter, Symmetric probability distribution, Statistics

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