Results 41 to 50 of about 82,789 (258)
Fast Algorithms for Segmented Regression
, 2016 We study the fixed design segmented regression problem: Given noisy samples from a piecewise linear function ff, we want to recover ff up to a desired accuracy in mean-squared error. Previous rigorous approaches for this problem rely on dynamic programming (DP) and, while sample efficient, have running time quadratic in the sample size.
Acharya, Jayadev +2 more
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Segmented Regression Based on B-Splines with Solved Examples [PDF]
Statistika: Statistics and Economy Journal, 2015 The subject of the paper is segmented linear, quadratic, and cubic regression based on B-spline basis functions. In this article we expose the formulas for the computation of B-splines of order one, two, and three that is needed to construct linear ...
Miloš Kaňka
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Ciência Rural, 2011 A determinação do tamanho de parcela é uma prática pertinente ao planejamento experimental e sua caracterização otimizada, em conjunto com o controle do material experimental, permite a obtenção de resultados com maior precisão e qualidade.
Ana Patricia Bastos Peixoto +2 more
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مجلة الدراسات الاقتصادية والادارية, 2023 Segmented regression is one of the statistical methods that are used to represent and model phenomena that go through several transitional stages. The basic concept of segmented regression depends on the presence of a certain point in the explanatory ...
Assistant teacher Muhammed Ahmed Abbas
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Time Series Analysis of Cutaneous Leishmaniasis in Sabzevar Northeastern Iran Using Segmented Regression Model [PDF]
International Journal of Epidemiologic Research, 2020 Background and aims: Cutaneous leishmaniasis (CL) is one of the most important parasitic diseases in the world. Sabzevar city is endemic area for CL in the north east of Iran.
Hadis Barati +5 more
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Video Object Segmentation by Latent Outcome Regression [PDF]
IEEE Access, 2020 This paper presents a novel algorithm for unsupervised video object segmentation (UVOS) in unconstrained scenarios. Although a large variety of methods have been proposed in the literature, segmenting generic objects is still challenging because different methods often perform well in different situations, and no single method can outperform the others
Lin Zhang, Yao Lu
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Pan-African Journal of Health and Environmental Science, 2023 Background: Public health interventions may affect a variety of health outcomes. This study developed an Interrupted Time Series model to test its efficacy in evaluating public health interventions.
Kevin Otieno Ouma +2 more
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Mapping the evolution of mitochondrial complex I through structural variation
FEBS Letters, EarlyView.Respiratory complex I (CI) is crucial for bioenergetic metabolism in many prokaryotes and eukaryotes. It is composed of a conserved set of core subunits and additional accessory subunits that vary depending on the organism. Here, we categorize CI subunits from available structures to map the evolution of CI across eukaryotes. Respiratory complex I (CI)
Dong‐Woo Shin +2 more
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Three Statistical Approaches for Assessment of Intervention Effects: A Primer for Practitioners
Risk Management and Healthcare Policy, 2021 Lihua Li,1– 3 Meaghan S Cuerden,4 Bian Liu,1,3,5 Salimah Shariff,6 Arsh K Jain,4,6 Madhu Mazumdar1– 3 1Institute for Healthcare Delivery Science, Icahn School of Medicine at Mount Sinai, New York, NY, USA; 2Department of Population Health ...
Li L +5 more
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Numerical Investigation on Hybrid Rocket Motors with Star-Segmented Rotation Grain
Aerospace, 2022 A novel fuel grain configuration comprising two star-segmented grains is proposed. The effect of the rotation, mid-chamber length, and segmented position on the fuel regression rate and the combustion efficiency in hybrid rocket motors with star ...
Hui Tian +5 more
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