Results 31 to 40 of about 42,415 (143)
Here we apply seasonal time series modeling to flow and fisheries management in a highly regulated river system. Time series modeling is commonly employed to forecast future values of streamflow and extrinsic climate-related seasonal data based on ...
Robert M. Sullivan, John P. Hileman
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On the Points of Regularity of Multivariate Functions of Bounded Variation
Points of non-regularity are studied for multivariate functions of bounded variation, denoted BV. Among numerous versions of the latter notion the author chooses to deal with that connected with the names of Vitali, Lebesgue, Fréchet, and de la Vallée Poussin which proved to be useful in the theory of measure and integration but less in the theory of ...
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Functional regular variation of Lévy-driven multivariate mixed moving average processes [PDF]
We consider the functional regular variation in the space $\mathbb{D}$ of càdlàg functions of multivariate mixed moving average (MMA) processes of the type $X_t = \int\int f(A, t - s) Λ(d A, d s)$. We give sufficient conditions for an MMA process $(X_t)$ to have càdlàg sample paths.
Moser, Martin, Stelzer, Robert
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Multivariate calibration methods have proven to be helpful in interpreting complex spectral data, particularly in the simultaneous analysis of pharmaceutical mixtures.
Mona A. Abdel Rahman +5 more
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Hypertriglyceridaemia in extremely preterm infants receiving parenteral lipid emulsions
Background Lipid emulsions (LE) are routinely administered as part of parenteral nutrition in neonates. There is a wide variation in clinical practice of plasma triglyceride monitoring during LE therapy.
Ruth Sinclair +3 more
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Operator Regular Variation of Multivariate Liouville Distributions
Operator regular variation reveals general power-law distribution tail decay phenomena using operator scaling, that includes multivariate regular variation with scalar scaling as a special case. In this paper, we show that a multivariate Liouville distribution is operator regularly varying if its driving function is univariate regularly varying.
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Conditional excess risk measures and multivariate regular variation
Abstract Conditional excess risk measures like Marginal Expected Shortfall and Marginal Mean Excess are designed to aid in quantifying systemic risk or risk contagion in a multivariate setting. In the context of insurance, social networks, and telecommunication, risk factors often tend to be heavy-tailed and thus frequently studied under
Bikramjit Das, Vicky Fasen-Hartmann
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Background Dental graduates are joining a profession experiencing changes in systems of care, funding and skill mix. Research into the motivation and expectations of the emerging workforce is vital to inform professional and policy decisions.
Wilson Nairn HF +3 more
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Variation in use of surveillance colonoscopy among colorectal cancer survivors in the United States
Background Clinical practice guidelines recommend colonoscopies at regular intervals for colorectal cancer (CRC) survivors. Using data from a large, multi-regional, population-based cohort, we describe the rate of surveillance colonoscopy and its ...
Salz Talya +8 more
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Due to the lack of effective assessment method, overheated milk commodities are often marketed as pasteurized milk on the market, which was sold in high price by fraud.
Yun Xie +4 more
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