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2011•Unpublished venueOpen access

Notion of Probability

B. Démoulin, Philippe Besnier

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Abstract

This chapter contains sections titled: The random variable concept Bibliography Probability concept from intuition Probability density function (pdf) Computation of moments Centered and normalized variables Computation of the variance and standard deviation Probability distributions The cumulative distribution function (cdf) The ergodism notion Features of the random stationary variables The characteristic function Summary of the main probability distributions Tables of numerical values of the normal distribution integrals Bibliography

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What this paper is about

This chapter contains sections titled: The random variable concept Bibliography Probability concept from intuition Probability density function (pdf) Computation of moments Centered and normalized variables Computation of the variance and standard deviation Probability distributions The cumulative distribution function (cdf) The ergodism notion Features of the random stationary variables The characteristic function Summary of the main probability distributions Tables of numerical values of the normal distribution integrals Bibliography

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Available abstract

This chapter contains sections titled: The random variable concept Bibliography Probability concept from intuition Probability density function (pdf) Computation of moments Centered and normalized variables Computation of the variance and standard deviation Probability distributions The cumulative distribution function (cdf) The ergodism notion Features of the random stationary variables The characteristic function Summary of the main probability distributions Tables of numerical values of the normal distribution integrals Bibliography

Key concepts: Cumulative distribution function, Probability density function, Mathematics, Random variable, Moment-generating function, Probability distribution, Probability mass function, Computation

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