Results 21 to 30 of about 2,240,564 (272)
Application of fuzzy linear regression models for predicting tumor size of colorectal cancer in Malaysia's Hospital [PDF]
, 2015 Fuzzy linear regression analysis has become popular among researchers and standard model in analysing data vagueness phenomena. These models were represented by five statistical models such as multiple linear regression, fuzzy linear regression (Tanaka),
Ahmad Hilmi Azman +7 more
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ANALISIS PENETAPAN NILAI GANTI KERUGIAN PROPERTI KORBAN LUAPAN LUMPUR LAPINDO
JEJAK: Jurnal Ekonomi dan Kebijakan, 2015 This research studies the fairness of the agreed compensation property nominal value for the victims of the Sidoarjo mudflow. This research was performed by comparing the agreed nominal amount of compensation with the estimated values based on the ...
B Irawan, A Paranata
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D-optimal experimental designs for linear multiple regression under heteroscedastic observations
Журнал Белорусского государственного университета: Математика, информатика, 2020 The problem of construction of «continuous» (number of observations is not fixed) and «exact» (number of observations is fixed) D-optimal experimental designs for linear multiple regression in the case when variance of errors of observations depends on ...
Valery P. Kirlitsa
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A Mathematical Programming Approach for Integrated Multiple Linear Regression Subset Selection and Validation [PDF]
, 2020 Subset selection for multiple linear regression aims to construct a regression model that minimizes errors by selecting a small number of explanatory variables.
Cheong, Taesu +3 more
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Modeling Pan Evaporation for Kuwait by Multiple Linear Regression
The Scientific World Journal, 2012 Evaporation is an important parameter for many projects related to hydrology and water resources systems. This paper constitutes the first study conducted in Kuwait to obtain empirical relations for the estimation of daily and monthly pan evaporation as ...
Jaber Almedeij
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Biomass estimation using LiDAR data
International Journal of Sustainable Energy Planning and Management, 2018 Forest ecosystems play a very important role in carbon cycle because they suppose one of the biggest carbon reservoirs and sinks. Estimating the aboveground forest biomass is critical to understand the global carbon storage process.
Leyre Torre
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Fire, 2023 Patterns of spatial heterogeneity in forests and other fire-prone ecosystems are increasingly recognized as critical for predicting fire behavior and subsequent fire effects.
Chad M. Hoffman +4 more
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Partially linear censored quantile regression [PDF]
, 2009 Censored regression quantile (CRQ) methods provide a powerful and flexible approach to the analysis of censored survival data when standard linear models are felt to be appropriate.
B Honore +17 more
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Data in Brief, 2022 The data sets and regression models presented here are related to the article “Point and interval estimation of decomposition error in discrete-time open tandem queues” [1]. The data sets are the first to analyze the approximation quality of the discrete-
Christoph Jacobi, Kai Furmans
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JTSL (Jurnal Tanah dan Sumberdaya Lahan), 2023 Soil thickness has a significant influence on many of earth surface processes, and it can be mapped using various methods. Digital soil mapping can be used to estimate the spatial distribution of soil thickness and can estimate the uncertainty of the ...
Muhammad Fauzan Ramadhan +3 more
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