Joe, Harry Maydeu-Olivares, Alberto
Published in
Psychometrika

Maydeu-Olivares and Joe (J. Am. Stat. Assoc. 100:1009–1020, 2005; Psychometrika 71:713–732, 2006) introduced classes of chi-square tests for (sparse) multidimensional multinomial data based on low-order marginal proportions. Our extension provides general conditions under which quadratic forms in linear functions of cell residuals are asymptoticall...

Chen, Peng Tebbs, Joshua M Bilder, Christopher R
Published in
Statistics in medicine

In a variety of biomedical applications, particularly those involving screening for infectious diseases, testing individuals (e.g. blood/urine samples, etc.) in pools has become a standard method of data collection. This experimental design, known as group testing (or pooled testing), can provide a large reduction in testing costs and can offer nea...

URIBE-OPAZO, Miguel A. FERRARI, Silvia L. P. CORDEIRO, Gauss M.

The class of symmetric linear regression models has the normal linear regression model as a special case and includes several models that assume that the errors follow a symmetric distribution with longer-than-normal tails. An important member of this class is the t linear regression model, which is commonly used as an alternative to the usual norm...

URIBE-OPAZO, Miguel A. FERRARI, Silvia L. P. CORDEIRO, Gauss M.

The class of symmetric linear regression models has the normal linear regression model as a special case and includes several models that assume that the errors follow a symmetric distribution with longer-than-normal tails. An important member of this class is the t linear regression model, which is commonly used as an alternative to the usual norm...

URIBE-OPAZO, Miguel A. FERRARI, Silvia L. P. CORDEIRO, Gauss M.

The class of symmetric linear regression models has the normal linear regression model as a special case and includes several models that assume that the errors follow a symmetric distribution with longer-than-normal tails. An important member of this class is the t linear regression model, which is commonly used as an alternative to the usual norm...

Molenberghs, Geert; 56633; Verbeke, Geert; 18341;

Likelihood ratio, score, and Wald tests statistics are asymptotically equivalent. This statement is widely known to hold true under standard conditions. But what if the parameter space is constrained and the null hypothesis lies on the boundary of the parameter space, such as, for example, in variance component testing? Quite a bit is known in such...

Jansen, M. G. H. Glas, C. A. W.
Published in
Psychometrika

Two new tests for a model for the response times on pure speed tests by Rasch (1960) are proposed. The model is based on the assumption that the test response times are approximately gamma distributed, with known index parameters and unknown rate parameters. The rate parameters are decomposed in a subject ability parameter and a test difficulty par...

Jinguan, Lin Bocheng, Wei Nansong, Zhang
Published in
Applied Mathematics-A Journal of Chinese Universities

This paper presents an approach for estimating power of the score test, based on an asymptotic approximation to the power of the score test under contiguous alternatives. The method is applied to the problem of power calculations for the score test of heteroscedasticity in European rabbit data (Ratkowsky, 1983). Simulation studies are presented whi...

García-Pérez, Miguel A.
Published in
Quality and Quantity

The use of confidence intervals (CIs) is strongly recommended in the 5th edition of the Publication Manual of the American Psychological Association. The CI for the binomial parameter π is customarily obtained using Wald method, which uses the normal approximation to the binomial distribution and the estimated standard error. Wald CI has been shown...

Hössjer, Ola
Published in
Statistical Applications in Genetics and Molecular Biology

A combined score test for association and linkage analysis is introduced, based on a biologically plausible model with association between markers and causal genes and penetrance between phenotypes and the causal gene. The test is based on a retrospective likelihood of marker data given phenotypes, treating the alleles of the causal gene as hidden ...