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On the Weighted Mixed Almost Unbiased Ridge Estimator in Stochastic Restricted Linear Regression
Published 2013-01-01“…We introduce the weighted mixed almost unbiased ridge estimator (WMAURE) based on the weighted mixed estimator (WME) (Trenkler and Toutenburg 1990) and the almost unbiased ridge estimator (AURE) (Akdeniz and Erol 2003) in linear regression model. We discuss superiorities of the new estimator under the quadratic bias (QB) and the mean square error matrix (MSEM) criteria. …”
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42
The Relationship Between Novel Inflammatory Markers and Serum 25‐Hydroxyvitamin D Among US Adults
Published 2025-01-01“…A multivariable linear regression model assessed the links between serum 25(OH)D and these novel inflammatory markers, with subgroup analyses for hypertension and diabetes. …”
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43
DIGITALIZATION OF ECONOMICS AND DEVELOPMENT BANKS: PROSPECTS FOR EVALUATION ON THE EXAMPLES OF THE RUSSIAN FEDERATION AND VEB.RF
Published 2020-06-01“…The experience of using digitalization indexes to assess the digitalization level of the economy has been summarized: it is advisable to use interval indexes that allow us to divide countries into groups according to the digitalization level. Using the linear regression model developed by the authors has made it possible to establish a direct statistical relationship between the I-Desi digitalization index and per capita Gross Domestic Product for a number of developed and developing countries: more developed countries carry out digitalization faster. …”
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44
Deep learning captures the effect of epistasis in multifactorial diseases
Published 2025-01-01“…Routinely, the weights of individual SNPs are estimated by the linear regression model that assumes independent and linear contribution of each SNP to the phenotype. …”
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45
Is There a Seasonal Difference in the Detection of Trichomonas vaginalis by Cervical Cytology?
Published 2003-01-01“…The occurrence of a diagnosis of T. vaginalis was analyzed by year, by quarter, and by month using a generalized linear regression model. The prevalence of a T. vaginalis diagnosis during the 6-year study period was 3.1%. …”
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46
Modeling of River Sediment Estimation Using Artificial Neural Network Method (Case Study: Vanai River)
Published 2022-09-01“…Evidence has shown that initially the MLP's neural network model had the best estimate with the lowest error rate (90.44) and then the RBF model (151.44) among the three models. The linear regression model has the highest error rate because only linear relationships between variables are considered.…”
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47
Multipoint Vibration Response Prediction under Uncorrelated Multiple Sources Load Based on Elastic-Net Regularization in Frequency Domain
Published 2021-01-01“…Firstly, a multi-input and multioutput linear regression model of the multipoint frequency domain vibration response is trained using historical data at each frequency point. …”
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48
Weaker Regularity Conditions and Sparse Recovery in High-Dimensional Regression
Published 2014-01-01“…Based on both methods, we derive, in parallel, more precise bounds for the estimation loss and the prediction risk in the linear regression model when the number of variables can be much larger than the sample size.…”
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49
Parameter Study and Economic Efficiency Optimization for Laser Cladding with Wide-Band Fiber Laser
Published 2022-01-01“…The effects of the three process parameters on the geometry characteristics and economic efficiency of single tracks were statistically analyzed, and a linear regression model was established between the combined parameters and the relevant characteristics (including track height, ratio of track width to height, powder efficiency, and deposition speed). …”
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50
Financial Accountability and Service Delivery in Kabale District, Uganda
Published 2023“…At the bivariate level, a Pearson correlation matrix was conducted to ascertain the relationships between the predictor variables and the dependent variable. A linear regression model was used to fit the data. Research findings from the regression model show that funds disbursement (R=862), Auditing process (R=656 and record-keeping systems (R=899) have a positive significance on the service delivery of Kabale District local government. …”
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51
Driven Factors Analysis of China’s Irrigation Water Use Efficiency by Stepwise Regression and Principal Component Analysis
Published 2016-01-01“…In real world case studies, classical linear regression model often involves too many explanatory variables and the linear correlation issue among variables cannot be eliminated. …”
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52
Unexpected Smoking-Linked High MMP-9 in Induced Sputum of Hazardous Dust-Exposed Workers
Published 2006-01-01“…MMP-9 and TIMP-1 levels were similar for both groups. A linear regression model for MMP-9 based on exposure, smoking habits, and proportion of particles <5 μ revealed a positive correlation between each of the explanatory variables and MMP-9 values. …”
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53
Strong Consistency of Estimators in a Partially Linear Model with Asymptotically Almost Negatively Associated Errors
Published 2020-01-01“…This paper studies a heteroscedastic partially linear regression model in which the errors are asymptotically almost negatively associated (AANA, in short) random variables with not necessarily identical distribution and zero mean. …”
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54
The moderating role of strategy and environment on the relationship between corporate liquidity and investment: evidence from panel data
Published 2013-01-01“…In order to test the moderating role of corporate strategy and industry environment in the effect of liquidity on investment for Portuguese manufacturing firms, we developed a multiple linear regression model for panel data. It is a static model with three types of variables: financial; strategic/environmental; and interactive. …”
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55
Determinants of Public Sector Innovation: The Example of Capacity Development in Public Procurement
Published 2015-03-01“…Five hypotheses were derived and then tested empirically by using a data set about German public procurement practice. Our linear regression model provides evidence for the hypotheses that framework conditions, special training, and motivation of procurement staff play a central role in demand-driven innovation of the public sector.…”
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56
Unexpected Smoking-Linked High MMP-9 in Induced Sputum of Hazardous Dust-Exposed Workers
Published 2006-01-01“…MMP-9 and TIMP-1 levels were similar for both groups. A linear regression model for MMP-9 based on exposure, smoking habits, and proportion of particles <mml:math alttext="$<5$"> <mml:mrow> <mml:mo><</mml:mo><mml:mn>5</mml:mn> </mml:mrow> </mml:math> <mml:math alttext="$mu$"> <mml:mi>μ</mml:mi> </mml:math> revealed a positive correlation between each of the explanatory variables and MMP-9 values. …”
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57
Relationship between Monthly Rainfall in NW Peru and Tropical Sea Surface Temperature
Published 2013-01-01“…The results show that linear regression model is not enough to provide satisfactory results; however, a nonlinear regression model improves considerably the prediction of rainfall anomalies in NW Peru.…”
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58
Managers’ attitudes to creativity and innovation practices in the creative industries
Published 2019-01-01“…The results, derived from a linear regression model (two factors for the scale of attitudes - Leadership and Autonomy - and for the inventory of business practices - Performance and Strategy), confirmed the proposition by revealing the influence of the creative attitudes of managers regarding the company's innovative practices, fundamentally on Strategy, especially in the creative industries segment. …”
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59
VALIDATION OF REAL-TIME REVERSE TRANSCRIPTION POLYMERASE CHAIN REACTION FOR INDIRECT ASSESSMENT OF FMD VIRUS TITRE
Published 2019-04-01“…Procedure for validation of the method for indirect assessment of cultural FMD virus titre (T FMDV) in raw materials used for vaccine production with real time reverse transcription polymerase chain reaction (RT-PCRrt) based on determined amplifcation threshold cycle value (Ct) using linear regression model, TFMDV= –0.2956Ct+ 11.4650, is described in the paper. …”
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60
The association between gestational selective serotonin reuptake inhibitor (SSRI) treatment and newborn thyroid screen: a large-scale cohort study
Published 2025-01-01“…Multivariable forward linear regression model was applied to evaluate explanatory variables for newborn total thyroxine (TT4) levels. …”
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