Results 11 to 20 of about 7,801,805 (293)

On the Extension of the Burr XII Distribution: Applications and Regression

Computational Journal of Mathematical and Statistical Sciences, 2023
In this paper, we introduce a new four-parameter mixture distribution called the Harmonic Mixture Burr XII distribution. The proposed model can be used to model data which exhibit bimodal shapes or are heavy-tailed.
SELASI KWAKU OCLOO, LEWIS BREW , SULEMAN NASIRU, BENJAMIN ODOI   +3 more
doaj   +1 more source

Prediction of the Reaming Torque Using Artificial Neural Network and Random Forest Algorithm: Comparative Performance Analysis

Engineering Proceedings, 2023
In any manufacturing setup, reaming operation is always prominent and present because of ever increasing demands for improved quality of the manufactured products. At the same time, new engineering materials make the process challenging. Further, reaming
M. C. Rakshith, Raghavendra C. Kamath, G. S. Vijay   +2 more
doaj   +1 more source

Impacts of urban land use and land cover change on wetland dynamics in Jimma city, southwestern Ethiopia

Journal of Water and Climate Change, 2023
Wetland has been substantially decreased by anthropogenic activities worldwide, requiring urgent conservation action. The present study aimed to analyze the effects of land use land cover change on wetland dynamics from 1992 to 2022 in Jimma City ...
Yifru Waktole Berkessa, Tadesse Weyuma Bulto, Mitiku Badasa Moisa, Mengistu Muleta Gurmessa, Birhanu Chalchisa Werku, Getachew Yigezu Juta, Daniel Assefa Negash, Dessalegn Obsi Gemeda   +7 more
doaj   +1 more source

Relationship among altitude, growth characteristics and cone production in Brutian pine (Pinus brutia Ten.)

Turkish Journal of Forestry, 2021
In this study, cone production, altitude and growth characteristics (height, diameter at breast height and crown diameter) were related, and also some genetics parameters were estimated.
Durmuş Çetinkaya, Mahmut Çerçioğlu
doaj   +1 more source

Branch and bound method for regression-based controlled variable selection [PDF]

, 2013
Self-optimizing control is a promising method for selection of controlled variables (CVs) from available measurements. Recently, Ye, Cao, Li, and Song (2012) have proposed a globally optimal method for selection of self-optimizing CVs by converting the ...
Cao, Yi, Kariwala, Vinay, Ye, Lingjian
core   +1 more source

Regression games [PDF]

, 2011
The solution of a TU cooperative game can be a distribution of the value of the grand coalition, i.e. it can be a distribution of the payo (utility) all the players together achieve.
A. Chevan, H. Moulin, H. P. Young, J. Stufken, L. S. Shapley, M. C. K. Powaga, M. Grabisch, M. Grabisch, Miklós Pintér, R. Babat, S. Lipovetsky, S. Lipovetsky, S. Lipovetsky, S. Lipovetsky, S. Lipovetsky, U. Grömping, U. Grömping, W. Conklin   +17 more
core   +1 more source

Boosted Beta regression. [PDF]

, 2013
Regression analysis with a bounded outcome is a common problem in applied statistics. Typical examples include regression models for percentage outcomes and the analysis of ratings that are measured on a bounded scale.
Fenske, Nora, Maloney, Kelly O., Mayr, Andreas, Mitchell, Richard, Schmid, Matthias, Wickler, Florian   +5 more
core   +5 more sources

Bandwidth Selection in Nonparametric Regression with Large Sample Size

Proceedings, 2018
In the context of nonparametric regression estimation, the behaviour of kernel methods such as the Nadaraya-Watson or local linear estimators is heavily influenced by the value of the bandwidth parameter, which determines the trade-off between bias and ...
Daniel Barreiro-Ures, Ricardo Cao, Mario Francisco-Fernández   +2 more
doaj   +1 more source

A simple but effective method for Indonesian automatic text summarisation

Connection Science, 2022
Automatic text summarisation (ATS) (therein two main approaches–abstractive summarisation and extractive summarisation are involved) is an automatic procedure for extracting critical information from the text using a specific algorithm or method.
Nankai Lin, Jinxian Li, Shengyi Jiang
doaj   +1 more source

Quadratic Residual Multiplicative Filter Neural Networks for Efficient Approximation of Complex Sensor Signals

IEEE Access, 2023
In this research, we present an innovative Quadratic Residual Multiplicative Filter Neural Network (QRMFNN) to effectively learn extremely complex sensor signals as a low-dimensional regression problem.
Mustafa Umut Demirezen
doaj   +1 more source