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Bootstrap validity for the score test when instruments may be weak
(2009)
It is well-known that size adjustments based on bootstrapping the t-statistic perform poorly when instruments are weakly correlated with the endogenous explanatory variable. In this paper, we provide a theoretical proof ...
On the variable contributions to the D-statistic
(Elsevier Science, 2007-09)
The D-statistic is widely used in Statistical process control to reliably detect the out of control status, but by itself it offers no assistance as fault identification tool. Some strategies, that work in the original or ...
X̄ chart with variable sample size and sampling intervals
(1997-04-01)
Recent theoretical studies have shown that the X̄ chart with variable sampling intervals (VSI) and the X̄ chart with variable sample size (VSS) are quicker than the traditional X̄ chart in detecting shifts in the process. ...
X̄ chart with variable sample size and sampling intervals
(1997-04-01)
Recent theoretical studies have shown that the X̄ chart with variable sampling intervals (VSI) and the X̄ chart with variable sample size (VSS) are quicker than the traditional X̄ chart in detecting shifts in the process. ...
Estadística - Tablas
(Universidad de Belgrano - Fascículos - Carrera de Licenciatura en Administración, 2009)
Estadística.
Tablas.
Estadística - Guía de Trabajos Prácticos
(Universidad de Belgrano - Fascículos - Carrera de Licenciatura en Administración, 2014-09-05)
Estadística.
Guía de Trabajos Prácticos.
The S chart with variable charting statistic to control bi and trivariate processes
(2017-11-01)
In this article, we propose the S chart with variable charting statistic to control the covariance matrix as an alternative to the use of the bivariate |S| chart and the trivariate VMAX chart. As usual, samples are regularly ...
Hypotheses Testing on a Multivariate Null Intercept Errors-in-Variables Model
(TAYLOR & FRANCIS INC, 2009)
Considering the Wald, score, and likelihood ratio asymptotic test statistics, we analyze a multivariate null intercept errors-in-variables regression model, where the explanatory and the response variables are subject to ...