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Dos programas de computadora para confeccionar tablas de vida de fertilidad y calcular parámetros biológicos y demográficos en áfidos (homoptera: aphidoidea)
Published 2003-01-01“…Para calcular el error estándar del estimador de rm se usa el procedimiento Jackknife, el cual también es aplicable a los demás parámetros de la tabla de vida. …”
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Ecological Indicators and Estimators of Fish and Crustacean Diversity in the Yucatan Peninsula
Published 2024-12-01“…The richness and endemism of these species were assessed through a completeness analysis, utilizing non-parametric models (Chao 2, Jackknife 1, Bootstrap) to estimate potential species richness. …”
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Potential geographical distribution of Carob tree (Ceratonia siliqua L., Leguminosae) in Morocco under climate change
Published 2024-12-01“…The maximum entropy model yielded satisfactory results, with a high Area Under Curve value of 0.987 (±0.001). Jackknife tests revealed that precipitation, followed by temperature, significantly influence the biogeographical dynamics of the carob tree in Morocco. …”
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Habitat suitability modeling and conservation status of Salvadora oleoides and Tamarix aphylla in tropical thorn forest.
Published 2024-01-01“…MaxEnt software and the environmental variables were used to study each tree species separately (19 bioclimatic variables were used). The Jackknife test was conducted to find the total general tree cover and mean temperature. …”
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Species distribution modelling using MaxEnt: overview and prospects
Published 2024-12-01“…Assessing niche models solely based on AUC can be misleading, therefore, for a more reliable assessment of variable importance, it is worth supplementing it with permutation importance and the jackknife method. Examples of modeling for various groups, including mammals of the Ukrainian fauna, were considered. …”
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Continuous and Discrete Similarity Coefficient for Identifying Essential Proteins Using Gene Expression Data
Published 2023-06-01“…We validated the new similarity coefficient PJC on PPI datasets of Krogan, Gavin, and DIP of yeast species and evaluated the results by receiver operating characteristic analysis, jackknife analysis, top analysis, and accuracy analysis. …”
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Machine learning-based study of hardness in polypropylene/carbon nanotube and low-density polyethylene/carbon nanotube composites
Published 2025-01-01“…Investigations have been performed on resampling strategies, showing that the jackknife approach enhances model precision and robustness in the case of LDPE/CNT composites. …”
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Detection of Malignancy Associated Changes in Cervical Cell Nuclei Using Feed-Forward Neural Networks
Published 1997-01-01“…The cell classifiers were applied to a library of 93,494 cells from 395 slides, and the results were jackknifed using a single slide feature. The discriminant function achieved a correct classification rate of 67.6% while the neural networks managed as high as 76.2%.…”
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Prediction of the potentially suitable areas of Paeonia lactiflora in China based on Maxent and Marxan models
Published 2025-01-01“…The key factors limiting the potential geographic distribution of P. lactiflora were evaluated by combining the contribution rates of the environmental variables with the significance of their replacement. The jackknife method was employed to assess the importance of these factors. …”
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« Motionless Monotony »: New Nowheres in Irish Photography
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The proper application of logistic regression model in complex survey data: a systematic review
Published 2025-01-01“…Model validation techniques were not reported in 94.8% of the studies with limited uses of the bootstrap, jackknife, and other resampling methods. Moreover, sample weights, PSUs, and strata variables were used together in 40.4% of the articles, and 41.7% of the studies did not use any of these variables, which could have produced biased results. …”
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Międzynarodowa intryga. Szpiedzy pop i szykowne sekrety lat 60.
Published 2009-06-01Get full text
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114
MaxEnt-Based Predictions of Suitable Potential Distribution of <i>Leymus secalinus</i> Under Current and Future Climate Change
Published 2025-01-01“…Based on 357 data points collected on the natural distribution of <i>L. secalinus</i>, this study employs the jackknife method and Pearson correlation analysis to screen out 23 variables affecting its spatial distribution. …”
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新疆兔属三物种潜在生境分布及未来气候变化的影响
Published 2020-01-01“…研究结果表明,模型预测新疆兔属3个物种生境分布的精度达到较高水平,塔里木兔、草兔、雪兔的模型AUC值分别为0.955、0.853、0.940。从Jackknife环境变量重要性检验结果来看,影响塔里木兔生境分布的主要环境变量有最冷季均温、年均降雨量、坡度、最干季度平均温度;影响草兔生境分布的主要环境变量有最干月份降雨量、等温性、年平均降雨量、昼夜温差月均值;影响雪兔生境分布的主要环境变量有最干月份降雨量、最干月份降雨量、等温性、昼夜温差月均值。…”
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