This paper describes the development of a model for identifying points of prominence in speech. This model can be used as a first step in intonational labeling of corpora that are used in some speech synthesis systems (Black and Taylor, 1995). The working definition of prominence is that starred ToBI accents (Silverman et al., 1992), that is, H*, L*, L*+H, L+H*, and H+!H*, are prominent. The pr...

Logistic Model Trees have been shown to be very accurate and compact classifiers. Their greatest disadvantage is the computational complexity of inducing the logistic regression models in the tree. This issue is addressed by using the modified AIC criterion instead of crossvalidation to prevent overfitting these models. In addition, to fill the missing values, mean and mode are used class wise ...

A mixed-effects multinomial logistic regression model is described for analysis of clustered or longitudinal nominal or ordinal response data. The model is parameterized to allow flexibility in the choice of contrasts used to represent comparisons across the response categories. Estimation is achieved using a maximum marginal likelihood (MML) solution that uses quadrature to numerically integra...

Finite failure NHPP models proposed in the literature exhibit either constant, monotonic increasing or monotonic decreasing failure occurrence rates per fault, and are inadequate to describe the failure process underlying certain failure data sets. In this paper, we propose the loglogistic reliability growth model, which can capture the increasing=decreasing nature of the failure occurrence rat...

Methods for detecting influential observations for the Weibull model fit to censored data are discussed. These methods include: one-step deletion diagnostics, influence functions and curvature diagnostics. Results indicate that the curvature diagnostics may be helpful in detecting masking.

This short paper presents some preliminary effectiveness results for a probabilistic approach to distributed information retrieval using a Logistic regression algorithm for estimation of collection relevance. The algorithm is compared to other methods for distributed search using test collections developed for distributed search evaluation.

A combination of exponential and half logistic failure rate model for reliability studies is paid much attention. An attempt is made to present the distributional properties, estimation of parameters , testing of hypothesis and the power of likelihood ratio criterion about the proposed model .

This paper extends the Bayes marginal model plot (BMMP) model assessment technique from a traditional logistic regression setting to a multilevel application in the area of criminal justice. Convicted felons in the United States receive either a prison sentence or a less severe jail or non-custodial sentence. Researchers have identified many determinants of sentencing variation across the count...

Background: This study aimed to examine the number of latent classes of criminal intent that exist among prisoners and to look at the associations with recidivism, number of police arrests, type of offending (robbery, violent offences, murder, and multiple offences), and age. Participants and Procedure: Latent class analysis was used to identify homogeneous subgroups of prisoners based on their...