Artificial linear regressions often provide a convenient way to calculate test statistics and estimate covariance matrices. This paper discusses one family of these regressions, called "double-length" because the number of observations in the artificial regression is twice the actual number of...

We develop a new form of the information matrix test for a wide variety of statistical models, and present full details for the special case of univariate nonlinear regression models. Chesher (1984) showed that the implicit alternative of the information matrix test is a model with random...

Artificial linear regressions often provide a convenient way to calculate test statistics and estimate covariance matrices. This paper discusses one family of these regressions, called "double-length" because the number of observations in the artificial regression is twice the actual number of...

Together with rapidly developing technology, nowadays, plenty of complex systems have emerged and some algorithms for reliabilities of these systems have been developed. System analysts have realized that one of the factors which affects the system reliability is importance of the components...

Together with rapidly developing technology, nowadays, plenty of complex systems have emerged and some algorithms for reliabilities of these systems have been developed. System analysts have realized that one of the factors which affects the system reliability is importance of the components...

Together with rapidly developing technology, nowadays, plenty of complex systems have emerged and some algorithms for reliabilities of these systems have been developed. System analysts have realized that one of the factors which affects the system reliability is importance of the components...