Semiparametric models provide a more flexible form for modeling the relationship between the response and the explanatory variables. On the other hand in the literature of modeling for the missing variables, canonical form of the probability of the variable being missing (<italic>p</italic>) is modeled taking a...

In this paper, we consider the influence of individual observations on inferences about the Box--Cox power transformation parameter from a Bayesian point of view. We compare Bayesian diagnostic measures with the 'forward' method of analysis due to Riani and Atkinson. In particular, we look at...

Leverage values are being used in regression diagnostics as measures of unusual observations in the <italic>X</italic>-space. Detection of high leverage observations or points is crucial due to their responsibility for masking outliers. In linear regression, high leverage points (HLP) are those that stand far...

Agreement among raters is an important issue in medicine, as well as in education and psychology. The agreement among two raters on a nominal or ordinal rating scale has been investigated in many articles. The multi-rater case with normally distributed ratings has also been explored at length....

In this paper, the notion of the improved ridge estimator (IRE) is put forward in the linear regression model <bold>y</bold>=<bold>X</bold> <bold>β</bold>+<bold>e</bold>. The problem arises if augmenting the equation <bold>0</bold>=<bold>c</bold>′<bold>α</bold>+<bold>ε</b old> instead of <bold>0</bold>=<bold>C</bold> <bold>α</bold>+<bold>ϵ</bold> to the model. Three special IREs are considered and studied under the mean-squared error...<//b></bold>

Modelling of HIV dynamics in AIDS research has greatly improved our understanding of the pathogenesis of HIV-1 infection and guided for the treatment of AIDS patients and evaluation of antiretroviral therapies. Some of the model parameters may have practical meanings with prior knowledge...

In many applications in applied statistics, researchers reduce the complexity of a data set by combining a group of variables into a single measure using a factor analysis or an index number. We argue that such compression loses information if the data actually have high dimensionality. We...

Very often, in psychometric research, as in educational assessment, it is necessary to analyze item response from clustered respondents. The multiple group item response theory (IRT) model proposed by Bock and Zimowski [12] provides a useful framework for analyzing such type of data. In this...

This paper proposes a framework to detect financial crises, pinpoint the end of a crisis in stock markets and support investment decision-making processes. This proposal is based on a hidden Markov model (HMM) and allows for a specific focus on conditional mean returns. By analysing weekly...

Evaluating the performance of a medical diagnostic test is an important issue in disease diagnosis. Youden [<italic>Index for rating diagnostic tests</italic>, Cancer 3 (1950), pp. 32--35] stated that the ideal measure of performance is to ensure that the control group resembles the diseased group as closely as...