12.07.2015 Views

Stat 5101 Lecture Notes - School of Statistics

Stat 5101 Lecture Notes - School of Statistics

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Chapter 4Parametric Families <strong>of</strong>DistributionsThe first thing the reader should do before reading the rest <strong>of</strong> this chapteris go back and review Section 3.1, since that establishes the basic notation forparametric families <strong>of</strong> distributions.4.1 Location-Scale FamiliesConsider a probability density f <strong>of</strong> a real-valued random variable X. By thetheorem on linear changes <strong>of</strong> variables (Theorem 7 <strong>of</strong> Chapter 3 in Lindgren),for any real number µ and any positive real number σ, the random variableY = µ + σX has the densityf µ,σ (y) = 1 σ f ( y−µσThis generates a two-parameter family <strong>of</strong> densities called the location-scale familygenerated by the reference density f. The parameter µ is called the locationparameter, and the parameter σ is called the scale parameter.We could choose any distribution in the family as the reference distributionwith density f. This gives a different parameterization <strong>of</strong> the family, but thesame family. Suppose we choose f α,β as the reference density. The family itgenerates has densitiesf µ,σ (y) = 1 ( ) y − µσ f α,β .σ= 1 ( [ ])1 y − µσβ f − αβ σ= 1 ( )y − µ − σασβ f σβ111).

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