:Trial's fine with me, but I would like the outstanding issue of what is done about pages without locmapin or location parameters decided .-- talk ) 01 : 09, 24 September 2009 ( UTC)
42.
The consequence of " Studentization " is that the complication of treating the probability distribution of the mean, which depends on both the location and scale parameters, has been reduced to considering a distribution which depends only on the location parameter.
43.
For example, the generalized Bayes estimator of a location parameter ? based on Gaussian samples ( described in the " Generalized Bayes estimator " section above ) is inadmissible for p > 2; this is known as Stein's phenomenon.
44.
Where B is the beta function, \ mu is the location parameter, \ sigma > 0 is the scale parameter,-1 is the skewness parameter, and p > 0 and q > 0 are the parameters that control the kurtosis.
45.
Where the value of the summand is taken to be zero when \ theta + 2 \ pi n-\ mu \ le 0, c is the scale factor and \ mu is the location parameter . characteristic function of the L�vy distribution yields:
46.
For example, a logistic error-variable distribution with a non-zero location parameter " ? " ( which sets the mean ) is equivalent to a distribution with a zero location parameter, where " ? " has been added to the intercept coefficient.
47.
For example, a logistic error-variable distribution with a non-zero location parameter " ? " ( which sets the mean ) is equivalent to a distribution with a zero location parameter, where " ? " has been added to the intercept coefficient.
48.
It can be shown that the truncated mean of the middle 24 % sample order statistics ( i . e ., truncate the sample by 38 % ) produces an estimate for the population location parameter that is more efficient than using either the sample median or the full sample mean.
49.
@Iae : You seem to imagine that MLE and regression are two approaches to something . " Regression " is a vague and general term that means estimation of the population mean or population median or similar location parameter, of one variable, conditional on the value of another variable, and all based on a sample.
50.
Where " x " 0 is the location parameter, specifying the location of the peak of the distribution, and ? is the scale parameter which specifies the half-width at half-maximum ( HWHM ), alternatively 2? is full width at half maximum ( FWHM ) . ? is also equal to half the interquartile range and is sometimes called the probable error.
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