Results 21 to 30 of about 507,908 (237)
Asymptotics for linear approximations of smooth functions of means
Statistica, 2007 A higher-order version of the linear approximation of smooth functions of means proposed in Pallini (2002) is defined and studied. This version is shown to improve over the error of order Op(n -2) in probability, as the sample size n diverges, yielding a
Andrea Pallini
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IEEJ Transactions on Electronics, Information and Systems, 2004 In this study, a signal processing method considering not only linear correlation but also the higher order nonlinear correlation information is proposed on the basis of fuzzy observation data, in order to find the mutual relationship between sound and electromagnetic waves leaked from an electronic information equipment. More specifically, by applying
Ikuta, Akira +2 more
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Study on Vehicle Load Model of Baijianhe Bridge
Advances in Civil Engineering, 2022 In order to calculate the vehicle load model of Baijianhe Bridge, based on the vehicle load data of the health monitoring system, the vehicle type, vehicle weight, wheelbase, and other information were counted and the data were processed and diagraphed ...
Zeying Yang +4 more
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On limiting probability distributions of higher order Markov chains
Linear and Multilinear AlgebraThe limiting probability distribution is one of the key characteristics of a Markov chain since it shows its long-term behavior. In this paper, for a higher order Markov chain, we establish some properties related to its exact limiting probability distribution, including a sufficient condition for the existence of such a distribution.
Han, Lixing, Xu, Jianhong
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Logarithmic Negation of Basic Probability Assignment and Its Application in Target Recognition
Information, 2022 The negation of probability distribution is a new perspective from which to obtain information. Dempster–Shafer (D–S) evidence theory, as an extension of possibility theory, is widely used in decision-making-level fusion.
Shijun Xu +4 more
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JOURNAL OF THE JAPAN STATISTICAL SOCIETY, 2003 Summary: We consider the problem of estimating a ratio \(r = E(Y) / E(X)\) in a regression model \(Y = a + b X + U\). We obtain a higher order approximation of the probability distribution of the usual ratio estimator based on the sample means. In the gamma, lognormal and exponential cases, the approximation is numerically compared with the normal one ...
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Learning Probabilities: Towards a Logic of Statistical Learning [PDF]
Electronic Proceedings in Theoretical Computer Science, 2019 We propose a new model for forming beliefs and learning about unknown probabilities (such as the probability of picking a red marble from a bag with an unknown distribution of coloured marbles).
Alexandru Baltag +2 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Survival after relapse in pediatric acute myeloid leukemia (AML) remains poor, highlighting the critical importance of identifying prognostic factors to guide optimal relapse management. Methods We investigated the prognostic impact of multiparameter flow cytometry (MFC) measurable residual disease (MRD) in 188 patients with first ...
Camilla Poulsen +21 more
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Equivalent Risk Indicators: VaR, TCE, and Beyond
Risks, 2022 While a lot of research concentrates on the respective merits of VaR and TCE, which are the two most classic risk indicators used by financial institutions, little has been written on the equivalence between such indicators.
Silvia Faroni +2 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Pediatric supportive care clinical trials often involve multiple clinically important outcomes, complicating trial interpretation. Hierarchical composite endpoints (HCEs) provide a framework to integrate key outcomes according to clinical importance.
Willem H. Collier +11 more
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