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What is GMM

Global Applications of One Health Practice and Care
Genetically modified mosquitoes, also called genetically engineered mosquitoes, transgenic mosquitoes, or living modified mosquitoes – mosquitoes that have heritable traits derived through use of recombinant DNA technology, which alter the strain, line, or colony in a manner usually intended to result in reduction of the transmission of mosquito-borne human diseases.
Published in Chapter:
We Are Not Part of Nature; We Are Nature: An African View on One Health
Ike Valentine Iyioke (University of Michigan – Flint, USA)
Copyright: © 2019 |Pages: 26
DOI: 10.4018/978-1-5225-6304-4.ch002
Abstract
This chapter explores holism as it pertains to health in African thought. Specifically, it uses the philosophical notion of personhood to illustrate holism within the biomedical research context. In African philosophy, nature is an organic whole, and the creation and sustenance of ecological balance or interdependence between human and non-humans, the visible and the invisible are most desired. The individual is anchored in a mesh of relationships within the family, village, environment, all of whom are primordial sources of that person's physical, psychic, and spiritual existence and wellbeing. It is a fallacy, indeed absurd to think that humans can exist or act as though they are independent of the environment they live in while continually sensing it via sight, touch, hearing, smell, and taste. In a sense, humans are not just a part of nature; they are nature. It is a holistic perspective, as opposed to anthropocentrism. The continued neglect of this philosophical perspective in favor exclusively of anthropocentrism or individualism is the cause of much human crisis.
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Language Classification and Recognition From Audio Using Deep Belief Network
Gaussian mixture model is one of the probabilistic models which states that all data points are derived from a mixture of Gaussian distributions.
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The Impact of Infrastructure on Growth in Developing Countries: Dynamic Panel Data Analysis
the generalized method of moments (GMM) is a generic method for estimating parameters in statistical models. Usually it is applied in the context of semiparametric models, where the parameter of interest is finite-dimensional, whereas the full shape of the distribution function of the data may not be known, and therefore maximum likelihood estimation is not applicable. The method requires that a certain number of moment conditions were specified for the model. These moment conditions are functions of the model parameters and the data, such that their expectation is zero at the true values of the parameters. The GMM method then minimizes a certain norm of the sample averages of the moment conditions.
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Independent Directors' Roles in Banks
This acronym stands for Generalized Method of Moments.
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