2010Unpublished venueRequires access

Inverse Gaussian (Wald) Distribution

Catherine Forbes, Merran Evans, Nicholas Anthony John Hastings, Brian Peacock

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Abstract

The inverse Gaussian (Wald) distribution has applications in the study of diffusion processes and as a lifetime distribution model. This chapter illustrates the probability density function for the I: 1, λ variate for selected values of the scale parameter λ. It describes variate relationships and parameter estimation for inverse Gaussian (Wald) distribution. Controlled Vocabulary Terms control variate; inverse Gaussian distribution; probability density function

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The inverse Gaussian (Wald) distribution has applications in the study of diffusion processes and as a lifetime distribution model. This chapter illustrates the probability density function for the I: 1, λ variate for selected values of the scale parameter λ. It describes variate relationships and parameter estimation for inverse Gaussian (Wald) distribution. Controlled Vocabulary Terms control variate; inverse Gaussian distribution; probability density function

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Available abstract

The inverse Gaussian (Wald) distribution has applications in the study of diffusion processes and as a lifetime distribution model. This chapter illustrates the probability density function for the I: 1, λ variate for selected values of the scale parameter λ. It describes variate relationships and parameter estimation for inverse Gaussian (Wald) distribution. Controlled Vocabulary Terms control variate; inverse Gaussian distribution; probability density function

Key concepts: Inverse Gaussian distribution, Generalized inverse Gaussian distribution, Random variate, Normal-inverse Gaussian distribution, Mathematics, Inverse distribution, Probability density function, Gaussian

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