Search Results - "Ray, Bonnie K."
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Self-reported dietary adherence, disease-specific symptoms, and quality of life are associated with healthcare provider follow-up in celiac disease
Published in BMC gastroenterology (11-12-2017)“…The only treatment for celiac disease (CeD) is a lifelong gluten-free diet (GFD). The restrictive nature of the GFD makes adherence a challenge. As an integral…”
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Spatiotemporal Variability of ENSO and SST Teleconnections to Summer Drought over the United States during the Twentieth Century
Published in Journal of climate (15-12-2000)“…Presented are investigations into the spatial structure of teleconnections between both the winter El Niño–Southern Oscillation (ENSO) and global sea surface…”
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Point source influence on observed extreme pollution levels in a monitoring network
Published in Atmospheric environment (1994) (01-08-2014)“…This paper presents a strategy to quantify the influence major point sources in a region have on extreme pollution values observed at each of the monitors in…”
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Bispectral-based methods for clustering time series
Published in Computational statistics & data analysis (01-08-2013)“…Distinguishing among linear and nonlinear time series or between nonlinear time series generated by different underlying processes is challenging, as…”
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NHPP models with Markov switching for software reliability
Published in Computational statistics & data analysis (15-04-2008)“…We describe the use of a latent Markov process governing the parameters of a nonhomogeneous Poisson process (NHPP) model for characterizing the software…”
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A decision analysis approach to financial risk management in strategic outsourcing contracts
Published in EURO journal on decision processes (01-11-2013)“…Managing risks and the associated decisions surrounding them is an activity often undertaken by organizations within an enterprise on an ad hoc basis, using…”
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Long-range Dependence in Daily Stock Volatilities
Published in Journal of business & economic statistics (01-04-2000)“…Recent empirical studies show that the squares of high-frequency stock returns are long-range dependent and can be modeled as fractionally integrated…”
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Functional coefficient autoregressive models for vector time series
Published in Computational statistics & data analysis (01-08-2006)“…We extend the functional coefficient autoregressive (FCAR) model to the multivariate nonlinear time series framework. We show how to estimate parameters of the…”
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Dynamic Reliability Models for Software Using Time-Dependent Covariates
Published in Technometrics (01-02-2006)“…This article presents a new model for software reliability characterization using a growth curve formulation that allows model parameters to vary as a function…”
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A note on multi-step forecasting with functional coefficient autoregressive models
Published in International journal of forecasting (01-10-2005)“…This paper presents and evaluates alternative methods for multi-step forecasting using univariate and multivariate functional coefficient autoregressive (FCAR)…”
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Orthogonal defect classification-a concept for in-process measurements
Published in IEEE transactions on software engineering (01-11-1992)“…Orthogonal defect classification (ODC), a concept that enables in-process feedback to software developers by extracting signatures on the development process…”
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Memory in returns and volatilities of futures' contracts
Published in The journal of futures markets (01-07-2000)“…Various authors claim to have found evidence of stochastic long‐memory behavior in futures’ contract returns using the Hurst statistic. This paper reexamines…”
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Model selection and forecasting for long-range dependent processes
Published in Journal of forecasting (01-03-1996)“…Fractionally integrated autoregressive moving‐average (ARFIMA) models have proved useful tools in the analysis of time series with long‐range dependence…”
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A note on moving average forecasts of long memory processes with an application to quality control
Published in International journal of forecasting (01-04-2002)“…Standard quality control chart interpretation assumes that the observed data are uncorrelated. The presence of autocorrelation in process data has adverse…”
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Bayesian prediction for vector ARFIMA processes
Published in International journal of forecasting (01-04-2002)“…We provide explicit formulae for the joint predictive distribution of a Gaussian vector autoregressive fractionally integrated moving average (VARFIMA) process…”
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Semi-parametric smoothing estimators for long-memory processes with added noise
Published in Journal of statistical planning and inference (01-07-2002)“…The development of long-memory stochastic volatility (LMSV) models has increased the interest in the estimation of persistent processes observed with added…”
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Modeling vector nonlinear time series using POLYMARS
Published in Computational statistics & data analysis (28-02-2003)“…A modified multivariate adaptive regression splines method for modeling vector nonlinear time series is investigated. The method results in models that can…”
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Forecasting exchange rates using TSMARS
Published in Journal of international money and finance (01-06-1998)“…In this article we use the Time Series Multivariate Adaptive Regression Splines (TSMARS) methodology to estimate and forecast non-linear structure in weekly…”
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