Linear Hypotheses

Lehmann, E. L.

doi:10.1007/978-1-4757-1923-9_7

Cited by 9 publications

(4 citation statements)

References 84 publications

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“…To investigate the spatial associations among communal bird roosts and human WNV case residences, the Euclidean distances between human case and non-case residences and their nearest communal roosts were calculated using Hawth’s Tools in ArcGIS, and compared using exact permutation tests for the differences of means and medians (Lehmann 1991); 95% confidence intervals were calculated using bootstrap resampling methods (Davison and Hinkley 1997; Canty and Ripley 2013). A logistic regression model was used to determine if distance from roost was significantly associated with human infection.…”

Section: Methodsmentioning

confidence: 99%

Reduced West Nile Virus Transmission Around Communal Roosts of Great-Tailed Grackle (Quiscalus mexicanus)

et al. 2014

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West Nile virus has caused several outbreaks among humans in the Phoenix metropolitan area (Arizona, southwest USA) within the last decade. Recent ecologic studies have implicated Culex quinquefasciatus and Culex tarsalis as the mosquito vectors and identified three abundant passerine birds—great-tailed grackle (Quiscalus mexicanus), house sparrow (Passer domesticus), and house finch (Haemorhous mexicanus)—as key amplifiers among vertebrates. Nocturnal congregations of certain species have been suggested as critical for late summer West Nile virus amplification. We evaluated the hypothesis that house sparrow (P. domesticus) and/or great-tailed grackle (Q. mexicanus) communal roost sites (n = 22 and n = 5, respectively) in a primarily suburban environment were spatially associated with West Nile virus transmission indices during the 2010 outbreak of human neurological disease in metropolitan Phoenix. Spatial associations between human case residences and communal roosts were non-significant for house sparrows, and were negative for great-tailed grackle. Several theories that explain these observations are discussed, including the possibility that grackle communal roosts are protective.

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Section: Methodsmentioning

confidence: 99%

Reduced West Nile Virus Transmission Around Communal Roosts of Great-Tailed Grackle (Quiscalus mexicanus)

et al. 2014

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“…The rejector verifies the following relations: W H = 0, W T W = P ⊥ H and W W T = I r−q . P ⊥ H represents the projection matrix onto the left null space of H. The Kolmogorov-Smirnov test [29] at the level 5% accepts the Gaussian hypothesis for 670 of the 680 measurements with time indexes in T free testing (acceptation ratio of 98.5%), which confirms the Gaussian assumption.…”

Section: Methods Sg Tg Sml Trmse (Kb) 9337 3935 3766mentioning

confidence: 58%

Volume Anomaly Detection in Data Networks: An Optimal Detection Algorithm vs. the PCA Approach

Casas

Fillatre

Vaton

2009

Traffic Management and Traffic Engineering for the Future Internet

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The crucial future role of Internet in society makes of network monitoring a critical issue for network operators in future network scenarios. The Future Internet will have to cope with new and different anomalies, motivating the development of accurate detection algorithms. This paper presents a novel approach to detect unexpected and large traffic variations in data networks. We introduce an optimal volume anomaly detection algorithm in which the anomaly-free traffic is treated as a nuisance parameter. The algorithm relies on an original parsimonious model for traffic demands which allows detecting anomalies from link traffic measurements, reducing the overhead of data collection. The performance of the method is compared to that obtained with the Principal Components Analysis (PCA) approach. We choose this method as benchmark given its relevance in the anomaly detection literature. Our proposal is validated using data from an operational network, showing how the method outperforms the PCA approach.

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“…We have positive costs such that

{\zeta}_L

and

{\zeta}_U

from Equation (51) are the thresholds from Proposition 4. This property follows from monotonicity and continuity properties of the thresholds and the minimal cost as functions of

c

{c}_0

and

{c}_1

, which are proved in Reference 47. However, it should be noted that in this proof, we further need the condition

{P}_0\left({\delta}_{\tau }=1\right)+{P}_1\left({\delta}_{\tau }=1\right)<1

.…”

Section: Optimal Sequential Decision Rule For Cssmentioning

confidence: 89%

Optimal sequential decision rule for cooperative spectrum sensing of CUAVNs

Bao

2022

Trans Emerging Tel Tech

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Cognitive radio (CR) technology is beneficial for unmanned aerial vehicles (UAVs) to access the spectrum resources needed for communication. Then, in order to integrate CR technology into UAVs without causing excessive interference to the primary users (PUs), cooperative spectrum sensing (CSS) is used as a key function of CR technology to detect the PUs for the UAV's available spectrum. However, the flexible locations of UAVs may significantly degrade the performance and efficiency of CSS within them. Hence, on the basis of a cognitive UAV networks (CUAVN) framework, we propose an internal cooperation paradigm to achieve the cooperative gain of CSS within an UAV. Furthermore, we convert the decision rule as an optimal stopping problem to optimize the decision rule for CSS. The optimization problem is carried out by the error probability regarding the PU presence of the phenomenon and the stopping time required to reach a global decision about the PU status. By optimizing the error probability respectively under the condition of a fixed sensing time, the optimization problem is transformed into an optimal stopping problem and solved by Markov stopping theory. Following this, we further determine a pair of thresholds in the optimal sequential decision rule from the minimal cost function. At last, numerical simulation results verify the correctness and effectiveness of the optimal sequential detection rule, and corroborate that in contrast to the external cooperative paradigm, the superiority of the internal cooperative paradigm under various network environments and parameters, in terms of the CSS performance and the stopping time.

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Linear Hypotheses

Cited by 9 publications

References 84 publications

Reduced West Nile Virus Transmission Around Communal Roosts of Great-Tailed Grackle (Quiscalus mexicanus)

Reduced West Nile Virus Transmission Around Communal Roosts of Great-Tailed Grackle (Quiscalus mexicanus)

Volume Anomaly Detection in Data Networks: An Optimal Detection Algorithm vs. the PCA Approach

Optimal sequential decision rule for cooperative spectrum sensing of CUAVNs

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