1987Journal of International Crisis and Risk Communication ResearchOpen access

Continuous Statistical Distribution Curve Fitting and Analysis Tool

Gerald Robie

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Abstract

This paper reports on the implementation and utilization of a micro-computer based simulation modeling verification and validation tool. The interactive software tool, written in BASIC, computes and displays the frequency distribution of a given set of input data, computes appropriate parameters for a continuous statistical distribution which the user selects as likely to represent the population from which the input data sample was obtained, performs several goodness-of-fit analyses on the resultant distribution and provides sensitivity analysis capability on the input data, distribution type selection and distribution parameters.

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What this paper is about

This paper reports on the implementation and utilization of a micro-computer based simulation modeling verification and validation tool. The interactive software tool, written in BASIC, computes and displays the frequency distribution of a given set of input data, computes appropriate parameters for a continuous statistical distribution which the user selects as likely to represent the population from which the input data sample was obtained, performs several goodness-of-fit analyses on the resultant distribution and provides sensitivity analysis capability on the input data, distribution type selection and distribution parameters.

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Available abstract

This paper reports on the implementation and utilization of a micro-computer based simulation modeling verification and validation tool. The interactive software tool, written in BASIC, computes and displays the frequency distribution of a given set of input data, computes appropriate parameters for a continuous statistical distribution which the user selects as likely to represent the population from which the input data sample was obtained, performs several goodness-of-fit analyses on the resultant distribution and provides sensitivity analysis capability on the input data, distribution type selection and distribution parameters.

Key concepts: Statistics, Curve fitting, Distribution fitting, Distribution (mathematics), Computer science, Mathematics, Econometrics, Probability distribution

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