Results 1 to 10 of about 2,028,100 (318)
Minimize the sum of the error boxes in the multi-linear regression model using the genetic algorithm [PDF]
Regression models are regarded as the most important ones used in statistical models in defining the relation among variables through the available data which can be applied to various sciences .
Hamsa Mohammed
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Semiparametric Additive Beta Regression Models
In this paper, we study a semiparametric additive beta regression model using a parameterization based on the mean and a dispersion parameter. This model is useful for situations where the response variable is continuous and restricted to the unit ...
Germán Ibacache-Pulgar +2 more
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A Covariance Regression Model [PDF]
A version of this article will appear in Statistica ...
Hoff, Peter D., Niu, Xiaoyue
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Tiller are an important biological characteristic of wheat, a primary food crop. Accurate estimation of tiller number can help monitor wheat growth and is important in forecasting wheat yield.
Fei Wu +6 more
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Predicting the Response of Laminated Composite Beams: A Comparison of Machine Learning Algorithms
A comparative study of machine learning regression algorithms for predicting the deflection of laminated composite beams is presented herein. The problem of the scarcity of experimental data is solved by ample numerically prepared data, which are ...
George C. Tsiatas +2 more
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Spline Semiparametric Regression Models
In this paper, we study semiparametric regression models with spline smoothing, and determining the numbers of knots and their locations by using some statistical criteria, a simulation model has been performed.
Ameera Jaber Mohaisen +1 more
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A Crash Data Analysis through a Comparative Application of Regression and Neural Network Models
One way to reduce road crashes is to determine the main influential factors among a long list that are attributable to driver behavior, environmental conditions, vehicle features, road type, and traffic signs. Hence, selecting the best modelling tool for
Lorenzo Mussone +1 more
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Model checking is a promising technique for verifying program behavior and is increasingly finding usage in industry. To date, however, researchers have primarily considered model checking of single versions of programs. It is well understood that model checking can be very expensive for large, complex programs.
Guowei Yang 0001 +2 more
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Relationship between time perspective and time management behaviours [PDF]
This study explores the relationship between various time perspectives (Past-positive, Presenthedonistic, Future, Past-negative, and Present-fatalistic) and time management behaviours (Setting goals and priorities, Scheduling and planning, Preference for
Bajec Boštjan
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Comparison between Highly Complex Location Models and GAMLSS
This paper presents a discussion regarding regression models, especially those belonging to the location class. Our main motivation is that, with simple distributions having simple interpretations, in some cases, one gets better results than the ones ...
Thiago G. Ramires +5 more
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