Academic literature on the topic 'OLS-evaluation of parameters'

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Journal articles on the topic "OLS-evaluation of parameters"

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Sakouvogui, Kekoura. "Out-of-Sample Predictability of Economic Efficiency Measures of U.S. Banks: Evidence of Capital Adequacy Requirements." Review of Economics 71, no. 3 (2020): 197–222. http://dx.doi.org/10.1515/roe-2020-0025.

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Abstract This paper contributes to the sparse debate on the effect of capital adequacy requirements on banks’ economic efficiency measures. Precisely, we evaluate the out-of-sample predictability of capital adequacy requirements on banks’ economic efficiency measures using Support Vector Regression (SVR) model with Linear, Polynomial and Radial Basis Function kernels and ordinary least squares (OLS) model. This analysis is important because a prediction of economic efficiency measures allows for an untangle view of bank’s progress that is useful for management as it gains a high degree of tran
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Habbadi, Khaoula, Ilyass Maafa, Abdellatif Benbouazza, et al. "Differential Response of Olive Cultivars to Leaf Spot Disease (Fusicladium oleagineum) under Climate Warming Conditions in Morocco." Horticulturae 9, no. 5 (2023): 589. http://dx.doi.org/10.3390/horticulturae9050589.

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Olive leaf spot (OLS), also called olive scab and peacock eye, caused by Fusicladium oleagineum, is a major disease that causes significant damage to olive trees. However, we still lack information about how cultivar and environmental factors influence disease development. In this study, evaluation of the incidence and severity on twenty olive cultivars (Olea europaea L.), maintained in an ex situ collection in Morocco, was carried out monthly during the period from March to July 2021. Biochemical parameters were also evaluated for each cultivar including leaf chlorophyll, polyphenols and flav
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Sergii, Khlamov, Vlasenko Vladimir, Savanevych Vadym, et al. "Development of computational method for matched filtration with analytical profile of the blurred digital image." Eastern-European Journal of Enterprise Technologies 5, no. 4 (119) (2022): 24–32. https://doi.org/10.15587/1729-4061.2022.265309.

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A computational method for matched filtration with analytical profile of the blurred digital image of the investigated objects on digital frames has been developed. Such «blurred» objects can be the result of an involuntary shift of a fixed camera, an incorrect choice of the mode of guiding the telescope (diurnal or object tracking) or a failure of the diurnal tracking. This computational method is based on the analytical selection of the typical form of the object’s image, as well as on the choice of special parameters for the transfer function of the matched filter for the
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Caruso, Rosario, Monica Scordino, Pasqualino Traulo та Giacomo Gagliano. "Determination of Volatile Compounds in Wine by Gas Chromatography-Flame Ionization Detection: Comparison Between the U.S. Environmental Protection Agency 3σ Approach and Hubaux-Vos Calculation of Detection Limits Using Ordinary and Bivariate Least Squares". Journal of AOAC INTERNATIONAL 95, № 2 (2012): 459–71. http://dx.doi.org/10.5740/jaoacint.11-044.

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Abstract A capillary GC-flame ionization detection (FID) method to determine volatile compounds (ethyl acetate, 1,1-diethoxyethane, methyl alcohol, 1-propanol, 2-methyl-1-propanol, 2-methyl-1-butanol, 3-methyl-1-butanol, 1-butanol, and 2-butanol) in wine was investigated in terms of calculation of detection limits and calibration method. The main objectives were: (1) calculation of regression coefficient parameters by ordinary least-squares (OLS) and bivariate least-squares (BLS) regression models, taking into account errors in both axes; (2) estimation of linear dynamic range (LDR) according
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Arias-Rodil, Manuel, Ulises Diéguez-Aranda, Francisco Rodríguez Puerta, et al. "Modelling and localizing a stem taper function for Pinus radiata in Spain." Canadian Journal of Forest Research 45, no. 6 (2015): 647–58. http://dx.doi.org/10.1139/cjfr-2014-0276.

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The parsimonious taper function proposed by Riemer et al. (1995. Allg. Forst.- Jagdztg. 166(7): 144–147) was fitted for radiata pine (Pinus radiata D. Don) stems in Spain by using a nonlinear mixed modelling approach. Eight candidate models (all possible expansion combinations of the three fixed parameters with random effects) were assessed, and the mixed model with three random effects performed the best according to the goodness-of-fit statistics. An evaluation data set was used to assess the performance of these models in predicting stem diameter along the bole, as well as total stem volume
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Sergii, Khlamov, Savanevych Vadym, Vlasenko Vladimir, et al. "Development of the matched filtration of a blurred digital image using its typical form." Eastern-European Journal of Enterprise Technologies 1, no. 9 (121) (2023): 62–71. https://doi.org/10.15587/1729-4061.2023.273674.

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The appearance of "blurred" digital images is a consequence of the violation of the immobility of the camera during the shooting of the objects under study. To this end, a procedure was devised for matched filtering of the blurred digital image of the object using its typical image form in a series of frames. This procedure is based on the automated formation of a typical form of a digital image, as well as on the choice of special parameters for the transfer function of the matched filter. Adapting the procedure specifically to the typical form makes it possible to perform a more ac
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Sharma, Nalin, Prasun Kumar Gupta, and Prabhakar Alok Verma. "Temporal Gap Filling of Nighttime Light Composites." Journal of Geomatics 19, no. 1 (2025): 29–38. https://doi.org/10.58825/jog.2025.19.1.152.

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The temporal nighttime light (NTL) data generated by DMSP-OLS sensors was discovered to have large gaps (missing values) over time. The research aims to provide a scientifically valid gap-filling mechanism for having consistent DMPS-OLS time series data (1992-2013) and predicting the historic NTL (1991-1985) for long-term studies. A deep learning neural network, Long Short Term Memory (LSTM) has been proposed in the study for temporal gap filling and historic NTL prediction. The developed LSTM model is being tested in a time distributed wrapper way having window size (3-7) for the temporal gap
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Vadym, Savanevych, Khlamov Sergii, Vlasenko Vladimir, et al. "Formation of a typical form of an object image in a series of digital frames." Eastern-European Journal of Enterprise Technologies 6, no. 2 (120) (2022): 51–59. https://doi.org/10.15587/1729-4061.2022.266988.

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A computational method for the automated formation of a typical form of a digital image of the investigated objects on a series of digital frames has been developed. Due to the imperfection of the mounting of digital cameras, as well as their automated mounts, their immobility at shooting during exposure time can be disturbed, which leads to the formation of "blurred" images of objects of various forms. Due to such inaccuracies in the tracking of objects on digital frames, even in one series, the typical form of the image of objects can vary from frame to frame. This fact of the diff
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Syrovátka, Pavel. "Price-supply flexibility of wheat market in the Czech Republic." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 61, no. 4 (2013): 1145–51. http://dx.doi.org/10.11118/actaun201361041145.

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The paper explores of the price-supply flexibility of the Czech commodity market for food quality wheat in the period 1995–2011. For this analysis, inversion definition of the supply function was applied. The model of the inverse supply function in the Czech wheat market was based on the double log-linear construction. The parameters of the given supply model were estimated using OLS-HAC method. The developed regression model of the supply function was statistically tested. Ordinary and dynamic price flexibility of the wheat supply on the Czech commodity market was determined in relation to th
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Kashki, Abdolreza, Mokhtar Karami, Rahman Zandi, and Zohreh Roki. "Evaluation of the effect of geographical parameters on the formation of the land surface temperature by applying OLS and GWR, A case study Shiraz City, Iran." Urban Climate 37 (May 2021): 100832. http://dx.doi.org/10.1016/j.uclim.2021.100832.

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