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The Birnbaum–Saunders distribution is useful for modeling reliability data. In this paper we obtain adjusted profile maximum likelihood estimators for the Birnbaum–Saunders distribution shape parameter under type II data censoring. We consider the adjustments to the profile likelihood...
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We address the issue of edge detection in Synthetic Aperture Radar imagery. In particular, we propose nonparametric methods for edge detection, and numerically compare them to an alternative method that has been recently proposed in the literature. Our results show that some of the proposed...
Persistent link: https://www.econbiz.de/10011051069
This paper reviews the matrix programminglanguage Ox from the viewpoint of an econometrician/statistician.We focus on scientific programming using Ox and discussexamples of possible interest to econometricians and statisticians, such as random number generation, maximum likelihood estimation,...
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The commonly made assumption that all stochastic error terms in the linear regression model share the same variance (homoskedasticity) is oftentimes violated in practical applications, especially when they are based on cross-sectional data. As a precaution, a number of practitioners choose to...
Persistent link: https://www.econbiz.de/10008503016
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We address the issue of constructing prediction intervals for responses that assume values in the standard unit interval, <InlineEquation ID="IEq1"> <EquationSource Format="TEX">$$(0,1)$$</EquationSource> <EquationSource Format="MATHML"> <math xmlns:xlink="http://www.w3.org/1999/xlink"> <mrow> <mo stretchy="false">(</mo> <mn>0</mn> <mo>,</mo> <mn>1</mn> <mo stretchy="false">)</mo> </mrow> </math> </EquationSource> </InlineEquation>. The response is modeled using the class of beta regression models and we introduce percentile and <InlineEquation ID="IEq2"> <EquationSource Format="TEX">$$\hbox {BC}_a$$</EquationSource> <EquationSource Format="MATHML"> <math xmlns:xlink="http://www.w3.org/1999/xlink"> <msub> <mtext>BC</mtext> <mi>a</mi> </msub> </math> </EquationSource> </InlineEquation> (bias-corrected...</equationsource></equationsource></inlineequation></equationsource></equationsource></inlineequation>
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