This paper proposes a framework of automatic intonation labeling which involves detection and classification of pitch accents and phrase boundaries. Four statistical models are designed to perform these tasks on the basis of a compact and simple representation consisting of features identified as the main acoustic correlates of accentual prominence and phrase boundaries or describing the acoust...

With the proliferation of efforts to report publicly the outcomes of healthcare providers and institutions, there is a growing need to define standards for the methods that are being employed. An interdisciplinary writing group identified 7 preferred attributes of statistical models used for publicly reported outcomes. These attributes include (1) clear and explicit definition of an appropriate...

Compliance to the Indiana Department of Transportation's (INDOT) highway design criteria is considered essential to ensure the roadway safety. However, for a variety of reasons, situations arise where exceptions to standard-design criteria are requested and accepted after review. This research explores the impact that design exceptions have on the accident severity and accident frequency in Ind...

This paper presents a novel scheme to estimate strength of a DDoS attack using polynomial regression model. To estimate strength of attack, a relationship is established between strength of attack and observed deviation in sample entropy. Various statistical performance measures are used to evaluate the performance of the polynomial regression models. NS-2 network simulator on Linux platform is...

In this research in-plane shear Behavior of composite steel-concrete shear walls was investigated considering the Effects of steel plates thickness, spaces between shear studs, shape and type of shear studs and existing of minimum reinforcement in wall section. Several finite element models were analyzed and Numerical results of two models were taken under verification with existent experimenta...

Normal residual is one of the usual assumptions of autoregressive models but in practice sometimes we are faced with non-negative residuals case. In this paper we consider some autoregressive models with non-negative residuals as competing models and we have derived the maximum likelihood estimators of parameters based on the modified approach and EM algorithm for the competing models. Also,...

Models, graphs and networks are particularly useful for examining statistical dependencies amongst quantities via conditioning. In this article the nodal random variables are point processes. Basic to the study of statistical networks is some measure of the strength of (possibly directed) connections between the nodes. The coefficients of determination and of mutual information are considered i...

Introduction Social capital, characterised by trust, reciprocity and cooperation, is positively associated with a number of health outcomes. We test the hypothesis that among hypertensive individuals, those with greater social capital are more likely to have their hypertension detected, treated and controlled. Methods Cross-sectional data from 21 countries in the Prospective Urban and Rural E...

Climate variability, which is expected to increase in the future, can promote coexistence through a mechanism called the storage effect. Currently, we have little understanding of how the importance of the storage effect varies among ecosystems. We tested for the three conditions of the storage effect in a sagebrush steppe plant community in Idaho (USA) by combining long-term observational data...

Statistics has moved beyond the frequentist-Bayesian controversies of the past. Where does this leave our ability to interpret results? I suggest that a philosophy compatible with statistical practice, labelled here statistical pragmatism, serves as a foundation for inference. Statistical pragmatism is inclusive and emphasizes the assumptions that connect statistical models with observed data. ...