Results 11 to 20 of about 1,720,913 (319)
Prediction of Air Pollution Concentration Using Weather Data and Regression Models
Proceedings of the International Conference on Applied Innovations in IT, 2020 Air pollution is becoming a global environmental problem, in both developed and developing countries. It has greatly impacted the health and lives of millions of people, thus increasing mortality rates and pollution induced diseases reports.
Aleksandar Trenchevski +3 more
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Asymmetric Regression Models Bernoulli/LogProportional-Hazard Distribution
Revista Colombiana de Estadística, 2014 In this paper we introduce a kind of asymmetric distribution for non-negative data called log-proportional hazard distribution (LPHF). This new distribution is used to study an asymmetrical regression model for data with limited responses (censored ...
GUILLERMO MARTÍNEZ-FLÓREZ +1 more
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Beneficium, 2019 The need to rethink, clarify and adjust the existing strategic planning document – Forecast of long-term socio-economic development of municipal formation city district «the City of Komsomolsk-on-Amur» for the period up to 2032 has determined the ...
Olesya V. Marchenko / Олеся В. Марченко +1 more
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Molecules, 2011 Logarithms of stability constants, log K1 and log β2, of the first transition series metal mono- and bis-complexes with any of four aliphatic amino acids (glycine, alanine, valine and leucine) decrease monotonously with third order valence connectivity ...
Ante Miličević +2 more
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TWO REGRESSION CREDIBILITY MODELS [PDF]
Analele Universităţii Constantin Brâncuşi din Târgu Jiu : Seria Economie, 2010 In this communication we will discuss two regression credibility models from Non – Life Insurance Mathematics that can be solved by means of matrix theory.
Constanţa-Nicoleta BODEA +1 more
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On the Complexity of Logistic Regression Models [PDF]
Neural Computation, 2019 We investigate the complexity of logistic regression models, which is defined by counting the number of indistinguishable distributions that the model can represent (Balasubramanian, 1997 ). We find that the complexity of logistic models with binary inputs depends not only on the number of parameters but also on the distribution of inputs in a ...
Nicola Bulso +2 more
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Sensors, 2020 Recent developments in the area of condition monitoring research have been targeted towards predicting machinery health condition for the purpose of preventative maintenance.
Qianyu Chen +4 more
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The Effect of Off-Spec Canola Biodiesel Blending on Fuel Properties for Cold Weather Applications
ChemEngineering, 2018 Biodiesel is a renewable and reduced-emission alternative fuel produced mainly from the alcoholysis of vegetable oils and/or animal fats. It is mainly used in blends with diesel fuel to reduce emissions, enhance lubrication and lower sulfur content ...
Ubaid Hassan +2 more
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Remote Sensing, 2023 Nitrogen content is one of the essential elements in citrus leaves (CL), and many studies have been conducted to determine the nutrient content in CL using hyperspectral technology. To address the key problem that the conventional spectral data-denoising
Changlun Gao +7 more
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Overdispersed Nonlinear Regression Models
Austrian Journal of StatisticsIn this paper we propose nonlinear regression models in the biparametric family of distributions. In this class of models we propose two new classes of overdispersed nonlinear regression models: the first, defined from the overdispersion family of ...
Edilberto Cepeda-Cuervo +1 more
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