In this paper, a new approximation of the marginal posterior distribution function is obtained. Moreover, for the location-scale model, by applying the shrinkage argument, a new approximation of the conditional distribution function of the signed likelihood ratio statistic given an ancillary...

The reference prior algorithm (Berger and Bernardo, 1992) is applied to locationscale models with any regular sampling density. A number of two-sample problems is analyzed in this general context, extending the dierence, ratio and product of Normal means problems outside Normality, while...

We point out that Bayesian inference on the basis of a given sample is not always possible with continuous sampling models, even under a proper prior. The reason for this paradoxical situation is explained, and its empirical relevance is linked to coarse gathering of data, such as rounding. A...

[Background:] Surveys of chronic health conditions provide information about prevalence but not about the incidence and the process of change within the population. [Objective:] We show how the "age dynamics" of chronic conditions - the probabilities of contracting the conditions at different...

We discuss the ease with which individuals can move between employment, unemployment and inactivity over time in the EU. Transitions from unemployment and inactivity back into employment are relatively weak in Central Eastern, Mediterranean and Continental European labour markets compared to...

The Czech labour market performance in early 1990s has widely been regarded as a success story. In particular, the Czech unemployment rate has been one of the lowest in Europe. In this paper we provide a microperspective on the Czech labour market by using data from the Czech labour force...

A sequence of real numbers (xn) is Benford if the significands, i.e. the fractionparts in the floating-point representation of (xn), are distributed logarithmically.Similarly, a discrete-time irreducible and aperiodic finite-state Markov chain withprobability transition matrix P and limiting...