بدائل البحث:
largest decrease » largest decreases (توسيع البحث), larger decrease (توسيع البحث), marked decrease (توسيع البحث)
large decrease » marked decrease (توسيع البحث), large increases (توسيع البحث), large degree (توسيع البحث)
_ largest » _ large (توسيع البحث)
b large » _ large (توسيع البحث), i large (توسيع البحث), _ larger (توسيع البحث)
a large » _ large (توسيع البحث)
largest decrease » largest decreases (توسيع البحث), larger decrease (توسيع البحث), marked decrease (توسيع البحث)
large decrease » marked decrease (توسيع البحث), large increases (توسيع البحث), large degree (توسيع البحث)
_ largest » _ large (توسيع البحث)
b large » _ large (توسيع البحث), i large (توسيع البحث), _ larger (توسيع البحث)
a large » _ large (توسيع البحث)
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Identification strength with a large number of moments
منشور في 2020"…We also allow the models to be locally misspecified and examine how the asymptotic theory is affected by the degree of misspecification. The theory encompasses many cases including GMM models with many moments (Han and Phillips), partially linear models, and local GMM via kernel smoothing with a large number of conditional moment restrictions. …"
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Changes in decadal precipitation and JULES inundation between 1990–1999 and 2089–2098.
منشور في 2024الموضوعات: -
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Data_Sheet_1_The Large Scale Structure of Human Metabolism Reveals Resilience via Extensive Signaling Crosstalk.CSV
منشور في 2020"…Second, metabolism is characterized by a high degree of stability reflected by the organisms resilience to either environmental changes or pathogenic conditions. …"
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Data_Sheet_2_The Large Scale Structure of Human Metabolism Reveals Resilience via Extensive Signaling Crosstalk.pdf
منشور في 2020"…Second, metabolism is characterized by a high degree of stability reflected by the organisms resilience to either environmental changes or pathogenic conditions. …"
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Data_Sheet_1_The Proximal Drivers of Large Fires: A Pyrogeographic Study.docx
منشور في 2020"…As in most fire-prone environments, the majority of annual burned area is due to a relatively small number of large fires. We train and test an Artificial Neural Network’s ability to predict spatial patterns in the probability of large fires (>1,250 ha) in forests and grasslands as a function of proxies of the four major controls on fire activity. …"
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