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Location parameter
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==Definition== Source:<ref>{{Cite book |last1=Casella |first1=George |title=Statistical Inference |last2=Berger |first2=Roger |year=2001 |isbn=978-0534243128 |edition=2nd |pages=116|publisher=Thomson Learning }}</ref> Let <math>f(x)</math> be any probability density function and let <math>\mu</math> and <math>\sigma > 0</math> be any given constants. Then the function <math>g(x| \mu, \sigma)= \frac{1}{\sigma}f\left(\frac{x-\mu}{\sigma}\right)</math> is a probability density function. The location family is then defined as follows: Let <math> f(x) </math> be any probability density function. Then the family of probability density functions <math> \mathcal{F} = \{f(x-\mu) : \mu \in \mathbb{R}\} </math> is called the location family with standard probability density function <math> f(x) </math>, where <math> \mu </math> is called the '''location parameter''' for the family.
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