Results 91 to 100 of about 5,687 (280)

Structured machine learning modeling to support conservation of deep‐sea benthic biodiversity

open access: yesConservation Biology, EarlyView.
Abstract Biodiversity monitoring programs need to deliver accurate, timely, and actionable predictions. To establish a predictive monitoring program for deep‐sea benthos of the Santos Basin, Brazil, we developed a two‐stage structured model that allowed comparison of biodiversity predictions obtained from environmental simulations (2M‐Sim).
Gustavo Fonseca   +23 more
wiley   +1 more source

Continental‐wide prioritization of protected areas to address global and habitat‐specific goals for avian biodiversity conservation

open access: yesConservation Biology, EarlyView.
Abstract The United Nations and European Union have set ambitious conservation goals to halt and reverse declines in biodiversity by protecting 30% of land and sea areas by 2030. Effective conservation planning requires evidence‐based spatial prioritization to maximize the coverage of species within designated protected areas.
Yanjie Xu   +33 more
wiley   +1 more source

Translocation of livestock‐raiding lions under specific conditions can mitigate conflict

open access: yesConservation Science and Practice, EarlyView.
Human‐wildlife conflict is a pervasive threat that imperils many carnivore species worldwide, and although translocation is often used as a conflict mitigation strategy, it is widely regarded as ineffective. Here, we demonstrate that careful selection of suitable release sites can improve outcomes, as 80% of stock‐raiding lion translocations in ...
Willem D. Briers‐Louw   +15 more
wiley   +1 more source

Novel Discrete Chris–Jerry Distribution: Properties, Integer Autoregressive Process, and Applications

open access: yesJournal of Probability and Statistics
A unique one-parameter discrete distribution, known as the Poisson Two-Sum Chris–Jerry distribution, is proposed in this study. The structural properties of the contemporary distribution, such as index of dispersion, moments, and probability-generating ...
Abdul Hamid Amidu   +2 more
doaj   +1 more source

Fusion Estimation from Multisensor Observations with Multiplicative Noises and Correlated Random Delays in Transmission

open access: yesMathematics, 2017
In this paper, the information fusion estimation problem is investigated for a class of multisensor linear systems affected by different kinds of stochastic uncertainties, using both the distributed and the centralized fusion methodologies. It is assumed
Raquel Caballero-Águila   +2 more
doaj   +1 more source

The robustness of multi-echolon service models under autocorrelated demands

open access: yes, 1995
A common assumption underlying the development of multi-echelon service models is that successive demands are independent. In this paper we study the robustness of two models, developed for a two-echelon serial inventory network, when the demand process ...
Kok, de, A.G.   +3 more
core   +2 more sources

Speculation in the United Kingdom, 1785‒2019

open access: yesThe Economic History Review, EarlyView.
Abstract Speculation has long been thought to have significant economic effects, but it is difficult to measure, making it challenging to examine these effects empirically. In this paper we measure speculation in the United Kingdom since 1785 by using business and financial reporting in The Times newspaper.
William Quinn   +2 more
wiley   +1 more source

The robustness of multi-echelon service models under autocorrelated demands [PDF]

open access: yes, 1993
A common assumption underlying the development of multi-echelon service models is that successive demands are independent. In this paper we study the robustness of two models, developed for a two-echelon serial inventory network, when the demand process ...
Kok, AG Ton de   +2 more
core   +1 more source

Accounting for skill in trend, variability, and autocorrelation facilitates better multi-model projections: Application to the AMOC and temperature time series.

open access: yesPLoS ONE, 2019
We present a novel quasi-Bayesian method to weight multiple dynamical models by their skill at capturing both potentially non-linear trends and first-order autocorrelated variability of the underlying process, and to make weighted probabilistic ...
Roman Olson   +3 more
doaj   +1 more source

Max-EWMA chart for autocorrelated processes (MEWMAP chart) [PDF]

open access: yes, 2007
This paper proposes an exponentially weighted moving average (EWMA) control chart that is capable of detecting changes in both process mean and standard deviation for autocorrelated data (referred to as the Maximum Exponentially Weighted Moving Average ...
Thaga, K., Yadavalli, Venkata S. Sarma
core  

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