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Indirect inference for locally stationary ARMA processes with stable innovations
(2020)
The class of locally stationary processes assumes that there is a time-varying spectral representation, that is, the existence of finite second moment. We propose the α-stable locally stationary process by modifying the ...
Estadística: Estadística para Psicología
(Universidad de Belgrano - Fascículos - Facultad de Humanidades, 2014)
El trabajo de investigación comienza con la formulación del problema que se
pretende resolver o estudiar. Es común partir de una situación de ambigüedad,
sin saber qué hacer.
La consulta bibliográfica acerca del ...
Robust inference in an heteroscedastic measurement error model
(KOREAN STATISTICAL SOC, 2010)
In this paper we deal with robust inference in heteroscedastic measurement error models Rather than the normal distribution we postulate a Student t distribution for the observed variables Maximum likelihood estimates are ...
Inferences about the coefficient of correlation in the standard bivariate normal distribution
(2001-12-01)
The study of the association between two random variables that have a joint normal distribution is of interest in applied statistics; for example, in statistical genetics. This article, targeted to applied statisticians, ...
Inferences about the coefficient of correlation in the standard bivariate normal distribution
(2001-12-01)
The study of the association between two random variables that have a joint normal distribution is of interest in applied statistics; for example, in statistical genetics. This article, targeted to applied statisticians, ...
Bases for alternative nonparametric Mincer function
(Universidad de Cuenca, 2017)
Neural Scoring of Logical Inferences from Data using Feedback
Insights derived from wearable sensors in smartwatches or sleep trackers can help users in approaching their healthy lifestyle goals. These insights should indicate significant inferences from user behaviour and their ...