Results 191 to 200 of about 890,584 (243)

Estimation of soil erodibility in Peninsular Malaysia: A case study using multiple linear regression and artificial neural networks. [PDF]

Heliyon
Rehman MA, Abd Rahman N, Ibrahim ANH, Kamal NA, Ahmad A.   +4 more
europepmc   +1 more source

Predictive modelling of laser powder bed fusion of Fe-based nanocrystalline alloys based on experimental data using multiple linear regression analysis. [PDF]

Heliyon
Özden MG, Liu X, Wilkinson TJ, Üstün-Yavuz MS, Morley NA.   +4 more
europepmc   +1 more source

Impact of Thermosonication Treatment on Parsley Juice: Particle Swarm Algorithm (PSO), Multiple Linear Regression (MLR), and Response Surface Methodology (RSM). [PDF]

ACS Omega
Dulger Altıner D, Yıkmış S, Şimşek MA, Türkol M, Tokatlı Demirok N, Celik G.   +5 more
europepmc   +1 more source

Correction: Prevalence of dyslipidaemia within Polish nurses. Cross-sectional study - single and multiple linear regression models and ROC analysis. [PDF]

BMC Public Health
Bartosiewicz A, Wyszyńska J, Matłosz P, Łuszczki E, Oleksy Ł, Stolarczyk A.   +5 more
europepmc   +1 more source

Variable parameters memory-type control charts for simultaneous monitoring of the mean and variability of multivariate multiple linear regression profiles. [PDF]

Sci Rep
Sabahno H, Eriksson M.
europepmc   +1 more source

Prevalence of dyslipidaemia within Polish nurses. Cross-sectional study - single and multiple linear regression models and ROC analysis. [PDF]

BMC Public Health
Bartosiewicz A, Wyszyńska J, Matłosz P, Łuszczki E, Oleksy Ł, Stolarczyk A.   +5 more
europepmc   +1 more source

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Multiple criteria linear regression

European Journal of Operational Research, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Subhash C. Narula, John F. Wellington
openaire   +2 more sources

Multiple Linear Regression

2017
In the previous chapter, we discussed situations where we had only one independent variable (X ) and evaluated its relationship with a dependent variable (Y ). This chapter goes beyond that and deals with the analysis of situations where we have more than one X (predictor) variable, using a technique called multiple regression.
Paul D. Berger, Robert E. Maurer, Giovana B. Celli   +2 more
  +4 more sources

Multiple Linear Regression

2012
Chapters 13 and 14 examined in detail the simple regression model with one independent variable (such as amount of fertilizer) and one dependent variable (such as yield of corn). In many cases, however, more than one factor can affect the outcome under study. In addition to fertilizer, rainfall and temperature certainly influence the yield of corn.
Cheng-Few Lee, John C. Lee, Alice C. Lee
  +4 more sources