Selecting variables for regression and classification by thresholding.

Thresholding Multivariate Regression and Generalized Principal Components /
by: Sun, Ranye
Published: (2015)

Multiple linear regression: fixed and multinormal data with missing observations among the independent variables.
by: Johnston, Walter Edward
Published: (1965)

Regression with dummy variables /
by: Hardy, Melissa A., 1952-
Published: (1993)

Classification of birth weights based on dichotomous variables /
by: Perry, Lynn McIver, 1940-
Published: (1980)

Quadratic integer programming and a technique for selection of regression coefficients.
by: Coward, James Michael
Published: (1966)

A data-driven smoothing parameter selection for robust nonparametric regression /
by: Wang, Shaohung
Published: (1995)

Nonparametric regression and measurement error /
by: Maca, Jeffrey Dean, 1971-
Published: (1997)

Regression analysis with missing data.
by: Michelli, Frank Anthony
Published: (1968)

Missing variables in Bayesian regression II /
by: Press, S. James
Published: (1975)

Bayesian methods for nonlinear classification and regression /
by: Denison, David G. T.
Published: (2002)

Linearly constrained local polynomial regression /
by: Clark, Jason
Published: (2001)

Obtaining the best subset in regression analysis.
by: Leslie, Robert Norton
Published: (1967)

Robust multivariate estimation and variable selection in transportation and environmental engineering /
by: Gajewski, Byron Jon, 1971-
Published: (2000)

Topics in nonparametric regression : mean functional estimation and bootstrap confidence intervals for local estimating equations /
by: Galindo, Christian David, 1972-
Published: (1998)

Regression with dummy variables /
by: Hardy, Melissa A., 1952-
Published: (1993)

Regression with dummy variables /
by: Hardy, Melissa A., 1952-
Published: (1993)

Logistic regression models for ordinal response variables /
by: O'Connell, Ann A.
Published: (2006)

Testing lack of fit of heteroscedastic regression models /
by: Li, Chin-Shang
Published: (1997)

On one-side cross-validation in nonparametric regression /
by: Yi, Seongbaek, 1963-
Published: (1996)

Contributions to the stability of variance estimators and the regression estimator.
by: Katiyar, Anand Singh
Published: (1969)

Multiple regression with discrete dependent variables /
by: Orme, John G.
Published: (2009)

Nonparametric regression with errors in both variables : the Berkson model /
by: Spiegelman, Clifford H. (Clifford Henry)
Published: (1989)

Topics in semiparametric and nonparametric regression with missing and mismeasured data /
by: Gutierrez, Roberto Gabriel, 1970-
Published: (1995)

Diagnostics for nonlinearity and heteroscedasticity in errors-in-variables regression /
by: Carroll, Raymond J., et al.
Published: (1990)

Polychotomous regression applied to futility analysis and expected points modeling /
by: White, Christopher J., 1972-
Published: (2000)

Some relations between maximum likelihood estimation and regression analysis.
by: Jayatillake, Kannangara Sumanadasa Edwin
Published: (1971)

Classification and regression trees /
by: Breiman, Leo, et al.
Published: (2017)

An application of ratio and regression estimation to a forest land ownership project.
by: Minaldi, David Lynn
Published: (1967)

Testing biasedness of estimating equations in weighted regression with missing covariate data /
by: Lei, Shu-Yi
Published: (1998)

Computational efficiency in the selection of regression variables /
by: LaMotte, L. R., et al.
Published: (1969)

Mining customer credit by using neural network model with logistic regression approach /
by: Kao, Ling-Jing
Published: (2001)

On nonparametric regression estimation in a correlated-errors model /
by: Holiday, David Brian, 1955-
Published: (1986)

Classification based on dichotomous and continuous variables : Krzanowski's procedure.
by: Ball, Gerald Dannie
Published: (1983)

Logistic regression models for ordinal response variables /
by: O'Connell, Ann A.
Published: (2006)

Distribution approximation by control variable Monte Carlo sampling.
by: Scott, Douglas Meloy
Published: (1974)

Regression models for limited range dependent variables.
Published: (2006)