Results 301 to 310 of about 30,017,606 (359)
Evolution of Surgical Approaches for Trigeminal Schwannomas: A Meta-Regression Analysis from Past to Present. [PDF]
J Clin MedPorto E +8 more
europepmc +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Practical Risk‐Adjusted Performance Measurement, 2017
Regression analysis " fits " or derives a model that describes the variation of a response (or " dependent ") variable as a function of one or more predictor (or " independent ") variables.
Laura Igual, Santi Seguí
semanticscholar +3 more sources
Regression analysis " fits " or derives a model that describes the variation of a response (or " dependent ") variable as a function of one or more predictor (or " independent ") variables.
Laura Igual, Santi Seguí
semanticscholar +3 more sources
Regression and Factor Analysis
Biometrika, 1973SUMMARY A basic model of factor analysis is employed in the estimation of multiple correlation coefficients and partial regression weights. Estimators are derived for situations in which some or all of the independent variates are subject to errors in measurement.
Lawley, D. N., Maxwell, A. E.
openaire +2 more sources
Regression Analysis and Multivariate Analysis
Seminars in Reproductive Medicine, 1996Proper evaluation of data does not necessarily require the use of advanced statistical methods; however, such advanced tools offer the researcher the freedom to evaluate more complex hypotheses. This overview of regression analysis and multivariate statistics describes general concepts. Basic definitions and conventions are reviewed.
A J, Duleba, D L, Olive
openaire +2 more sources
British Journal of Mathematical and Statistical Psychology, 1976
Regression component decompositions (RCD) are defined as a special class of component decompositions where the pattern contains the regression weights for predicting the observed variables from the latent variables. Compared to factor analysis, RCD has a broader range of applicability, greater ease and simplicity of computation, and a more logical and ...
Schönemann, Peter H., Steiger, James H.
openaire +1 more source
Regression component decompositions (RCD) are defined as a special class of component decompositions where the pattern contains the regression weights for predicting the observed variables from the latent variables. Compared to factor analysis, RCD has a broader range of applicability, greater ease and simplicity of computation, and a more logical and ...
Schönemann, Peter H., Steiger, James H.
openaire +1 more source