Results 241 to 250 of about 190,765 (284)

Mean limiting pressure factors determination in contiguous pile walls using RAFELA and nonlinear regression models in spatially random soil

Divesh Ranjan Kumar, Sittha Kaorapapong, Warit Wipulanusat, Suraparb Keawsawasvong   +3 more
openalex   +1 more source

Predictive modeling for the mean diameter of carbon nanotubes produced by methane decomposition. [PDF]

Discov Nano
Almansour S, Alkwai LM, Yadav K, Zneid BA, Pashtun F.   +4 more
europepmc   +1 more source

Nonlinear Relationship of Leukocyte-to-Albumin Ratio with Disease Activity in Rheumatoid Arthritis. [PDF]

J Inflamm Res
Leng L, Li Y, Tang Q, Han Y, Zhang J, Li X.   +5 more
europepmc   +1 more source

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Nonlinear regression using spreadsheets

Trends in Pharmacological Sciences, 1995
Pharmacologists are often required to analyse nonlinear experimental effects by fitting the data to defined theoretical models. This may require a specialized computer program capable of performing nonlinear regression analysis, which can prove costly given the variety of pharmacological research.
W P, Bowen, J C, Jerman
openaire   +2 more sources

Residuals in Nonlinear Regression

Biometrika, 1985
Abstract : The authors employ a quadratic expansion to investigate the behavior of the ordinary residuals in nonlinear regression. In particular, they derive quadratic approximations for the mean and variance of the ordinary residuals, and the covariances between the ordinary residuals and the fitted values.
R. D. COOK, CHIH-LING TSAI
openaire   +1 more source

Bias in Nonlinear Regression

Biometrika, 1986
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Cook, R. D., Tsai, C.-L., Wei, B. C.
openaire   +1 more source

Nonlinear Regression with Dependent Observations

Econometrica, 1984
The authors establish general conditions for consistency and asymptotic normality for the nonlinear least squares estimators. These results are based on the extensions of the law of large numbers and the central limit theorem for random processes with mixing conditions.
White, Halbert, Domowitz, Ian
openaire   +1 more source