We consider the problem of combining k subjective probability distributions for a quantity of interest θ ∈ Θ. Two modified versions of the irrelevance of alternatives axiom are introduced by focusing on the consensual conditional odds, rather than the consensual probabilities. A strong modification of the axiom requires that the consensual odds depend only on the individual odds, while a weak m...

In this paper, we propose a novel technique for direct recognition of multiple speech streams given the single channel of mixed speech, without first separating them. Our technique is based on permutation invariant training (PIT) for automatic speech recognition (ASR). In PIT-ASR, we compute the average cross entropy (CE) over all frames in the whole utterance for each possible output-target as...

Even when information is made available through public campaigns, people may still retain inaccurate perceptions of environmental quality. We look at coastal water quality in Southern California via a telephone survey. Fewer than half of respondents are able to correctly rank two randomly chosen beaches in terms of water quality. A logit analysis of the rankings reveals that there are systemati...

1. The Effect of Response Level Ordering on Parameter Estimate Interpretation 2. Odds Ratios 2.1 Binary Explanatory Variable Modeling the Event 2.2 Binary Explanatory Variable Modeling the Nonevent 2.3 Continuous Explanatory Variable 3. Predicted Probabilities 4. Predicted by Observed Classification Tables 4.1 Classification Using Predicted Probabilities 4.2 Classification Using Bias-adjusted P...

M&A turned out to be significant form of corporate restructuring in post globalization period in Indian industries. The phenomenon is considered to be the most important strategy for gaining competitive advantage for firms. This study attempts to find out the determinants of M&A in Indian pharmaceutical industry. We use the PROWESS database provided by the Center for Monitoring Indian Economy f...

We propose 2 related models for the meta-analysis of diagnostic tests. Both models are based on the bivariate normal distribution for transformed sensitivities and false-positive rates. Instead of using the logit as a transformation for these proportions, we employ the tα family of transformations that contains the log, logit, and (approximately) the complementary log. A likelihood ratio test f...

Using micro data from European Value Survey (EVS) over 2008–2010, the paper investigates the individual and country variables that might affect the individual preferences towards the prevention of pollution, measured in terms of willingness to monetary contribute to it. Our focus is to interpreter the differences in light of the Environmental Tax Reform (ETR), carried out only in some countries...

The purpose of this study is to empirically investigate variation in the migration behaviour across individuals. Both a random parameters logit (RPL) and a standard logit model are employed. The migration models are estimated using a register-based data from Finland. The RPL model proves to be a flexible way to control for random variation in the parameters: the results suggest that many migrat...

-This paper presents a financial distress prediction model that combines the approaches of neural network learning and logit analysis. This combination can retain the advantages and avoid the disadvantages of the two kinds of approaches in solving such a problem. The radial basis function network (RBFN) is adopted to construct the prediction model. The architecture of RBFN allows the grouping o...

In an environment with strategic interaction, multiple equilibria yields a coordination problem and strategic uncertainty, even in the idealized setting of complete information. The resulting disequilibrium of beliefs leads to coordination failure, as demonstrated by many experiments. This paper examines two such coordination problems: the threshold game with a unitary public good and the marke...