Nonparametric methods
Using and comparing two nonparametric methods (CART and RF) and SPOT-HRG satellite data to predictive tree diversity distribution
... two nonparametric methods (CART and RF) and SPOT-HRG satellite data to predictive tree diversity ...Numerous methods have been developed for building species habitat suitability ...and ...
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Nonparametric methods in actigraphy: An update
... Studies using the nonparametric approach, such as those cited above, have calculated the fragmentation and stability of rhythm using a 1 h interval for analysis. However, new actimetry sensor models have been ...
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A fresh look at the use of nonparametric analysis in actimetry
... The nonparametric variables render it possible to infer the main characteristics of circadian rhythms, such as synchronization with a zeitgeber, and its amplitude and ...
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Nonparametric tail risk, stock returns, and the macroeconomy
... To circumvent the problems related to the availability of options prices, we propose to calculate the RND via nonparametric methods. To that end, Hansen and Jagannathan (1991) seminal paper proposes to ...
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Nonparametric tests for stationary analysis in hydrological data
... The analysis of the hydrological behavior over time often uses the Mann Kendall, and Pettitt's nonparametric methods, because of its simplicity and robustness (Ding, Wang & Lu, 2018; Ebrahimian et al., ...
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Interest rate exposure of Spanish banks: A nonparametric analysis
... All the model specifications discussed above require a specific functional form and assume that it does not change during the sample period. In this section, however, the measurement of banks’ interest rate exposure is ...
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Nonparametric tail risk, macroeconomics and stock returns: predictability and risk premia
... This paper proposes a novel way to estimate tail risk incorporating risk-neutral in- formation without making use of options data. Adopting a nonparametric approach we derive a risk neutral measure that correctly ...
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Using Nonparametric Analysis (DEA) for Measuring Technical Effi ciency in Poultry Farms
... envelopment analysis (DEA) to differentiate efficient from inefficient farmers. DEA is a nonparametric method in operations research and economics for the estimation of production frontiers (Charnes et al ., ...
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Properties of the weighting cell estimator under a nonparametric response mechanism
... In this article, we depart from this framework. We will assume that the response mechanism depends on a known continuous auxiliary variable, but the exact functional form of this relationship is left almost completely ...
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Rejoinder on: nonparametric tail risk, stock returns, and the macroeconomy
... regression methods to analyze our results in a wide roll- ing window framework over the period 1980–2010 that complements nicely our full- sample regressions over various sample ...
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Nonparametric evaluation of dynamic disease risk: a spatio-temporal kernel approach.
... parametric methods of Bernoulli and Poisson spatial-temporal scan statistic and spatio-temporal permutation scan statistic [40], the method of stRRF presented in this study can be extended to construct the ...
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Nonparametric intensity bounds for the detection and delineation of spatial clusters
... Bayes methods were employed by Marshall [1991] and Yasui et ...Bayesian methods have been proposed in the literature for estimation of risks in small ...These methods are based on information from ...
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Effects of dating errors on nonparametric trend analyses of speleothem time series
... Around the middle of the Holocene, all three records go into a swing from warm (T ≈ 6.5 ka) to cold (T ≈ 6.0 ka) and again to warm (T ≈ 5.1 ka), with warm–cold ampli- tudes of around 0.5 ‰. Strictly speaking, we should ...
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Nonparametric estimation and bootstrap confidence intervals for the optimal maintenance time of a repairable system
... This paper presented a bootstrap nonparametric approach to constructing CIs for functionals of the intensity of an NHPP subject to a monotonicity constraint. When several realizations of the NHPP are observed, our ...
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Scientific management methods
... Possibly, the only tool available to man besides technology, that is able to transmit integrity and reliability to the decision making process today, is science. So the context for this study, as shown before in the ...
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Scientific management methods
... research methods, because it’s the only ‘bridge’ known and defined, that can connects Management decision making process with ...research methods (described in Table ...
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biometrological methods evaluate
... However, compared to the control area, these products were also able to improve skin’s barrier, reducing the transepidermal water loss and increasing skin hydra- tion, suggesting that [r] ...
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Using Bayesian Nonparametric Hidden Semi-Markov Models to Disentangle Affect Processes during Marital Interaction.
... Bayesian methods, emphasis shifted toward discovering methods that cap- ture temporal clustering and feature extraction in sequential ...of nonparametric Bayesian ...cess methods permit ...
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Nonparametric decision tree: the impact of ISO 9000 on certified and non certified companies
... using nonparametric decision trees, and similarly to the previous point, there are differences in the items that comprise, customer’s relations; human resource management and strategic quality ...
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MATERIALS AND METHODS Mycoplasma strains and culture methods
... In this study we have characterized lipid-associated membrane proteins (LAMP) of Mycoplasma penetrans and Mycoplasma fermentans , in view of the importance of mycoplasmas in human dis[r] ...
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