The second estimate is ~Zgy \ — R, divided by the number of degrees of freedom, n — 2m. For the test, the ratio of these two variance estimates is compared with the appropriate critical value of F, with degrees of freedom 2m — 1 and n — 2m, respectively. 3. EXAMPLE We consider testing for a dependence of F on x for the following dat
This study makes an empirical comparison of estimators for censored equations using Monte Carlo simu...
A consistent two-step estimation procedure is proposed for a system of equations with limited depend...
The tetrachoric correlation coefficient (r(tet)), computed from a phi coefficient, approximates what...
Suppose a bivariate normal random sample of size n is subjected to Type II censoring on one of the v...
In this paper we derive the asymptotic sampling distributions of maximum likelihood estimators based...
The distribution of the test statistics of homogeneity tests is often unknown, requiring the estimat...
In this paper, we run a Monte Carlo analysis of the finite-sample performance of an Information Matr...
Two-stage testing procedures are proposed for three statistical problems: one-way analysis of varian...
In order to make statistical inference, that is drawing conclusions from a sample to describe a popu...
This paper presents a statistic for testing a complete sample for normality. The test statistic is d...
(A) The mean value of glutamate (Glu) amplitude-to-noise ratio (red cross) from 100 Monte Carlo simu...
Multivariate statistical methods often require the assumption of multivariate normality. The purpose...
In statistical experiments, if a random sample of items drawn from a population is tested until all ...
This paper examines a number of statistics that have been proposed to test the normality assumption ...
Monte-Carlo simulation is used to compare the small-sample performance of the usual normal theory pr...
This study makes an empirical comparison of estimators for censored equations using Monte Carlo simu...
A consistent two-step estimation procedure is proposed for a system of equations with limited depend...
The tetrachoric correlation coefficient (r(tet)), computed from a phi coefficient, approximates what...
Suppose a bivariate normal random sample of size n is subjected to Type II censoring on one of the v...
In this paper we derive the asymptotic sampling distributions of maximum likelihood estimators based...
The distribution of the test statistics of homogeneity tests is often unknown, requiring the estimat...
In this paper, we run a Monte Carlo analysis of the finite-sample performance of an Information Matr...
Two-stage testing procedures are proposed for three statistical problems: one-way analysis of varian...
In order to make statistical inference, that is drawing conclusions from a sample to describe a popu...
This paper presents a statistic for testing a complete sample for normality. The test statistic is d...
(A) The mean value of glutamate (Glu) amplitude-to-noise ratio (red cross) from 100 Monte Carlo simu...
Multivariate statistical methods often require the assumption of multivariate normality. The purpose...
In statistical experiments, if a random sample of items drawn from a population is tested until all ...
This paper examines a number of statistics that have been proposed to test the normality assumption ...
Monte-Carlo simulation is used to compare the small-sample performance of the usual normal theory pr...
This study makes an empirical comparison of estimators for censored equations using Monte Carlo simu...
A consistent two-step estimation procedure is proposed for a system of equations with limited depend...
The tetrachoric correlation coefficient (r(tet)), computed from a phi coefficient, approximates what...