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Gallant, A.R.; (1985)Nonlinear Statistical Models. Ch. 9 Dynamic Nonlinear Models."
Gallant, A.R.; (1985)Nonlinear Statistical Models. Ch. 4: Univariate Nonlinear Regression: Asymptotic Theory."
Gallant, A.R.; (1980)A Continuous Time Model of Electricity Consumption Which Incorporates Time of Day PRicing, A Demand Charge, and Other Commodities."
Gallant, A.R.; (1978). Revised April, 1978.Explicit Estimators of Parametric Functions in Nonlinear Regression."
Gallant, A.R.; (1977).Nonlinar Three Stage Least Squares: A Test of Restricitions in the Presence of a Maintained Hypothesis."
Gallant, A.R.; (1975)Testing a nonlinar regression specification: a nonregular case."
Gallant, A.R.; (1975)Inference for Non-linear models."
Gallant, A.R.; (1975)A uniform central limit theorem useful in nonlinear time series regression." Jan. 1978.
Gallant, A.R.; (1974)The theory of nonlinear regression as it relates to segmented polynomial regressions with estimated join points."
Gallant, A.R.; (1974).Testing a subset of the parameters of a nonlinear regression model."
Gallant, A.R.; (1973)Seemingly unrelated nonlinear regressions."
Gallant, A.R.; (1973)Nonlinear regression methods."
Gallant, A.R.; (1973). "The power of the likelihood ratio test of location in nonlinar regression models."
Gallant, A.R. and Goebhel, J.J.; (1975)Nonlinear regression with artoregressive errors."
Gallant, A. Ronald; (1989)On asymptotic normality when the number of regressors increases and the minimum egienvalue of X'X/n decreases."
Gallant, A. Ronald; (1985)Nonlinear Statistical Models. Ch. 8: Nonlinear Simultaneous Equations Models."
Gallant, A. Ronald; (1985)Nonlinear Statistical Models. Ch 2.: Univariate Nonlinear Regression: Special Situations."
Gallant, A. Ronald; (1976)Confidence regions for the parameters of a non-linear regression model."
Gallant, A. Ronald.Nonlinear Statistical Models."
Gallant, A. Ronald.Nonlinear Statistical Models, Chap. 6, Multivariate Nonlinear Regression."
Gallant, A. Ronald. Nonlinear Statistical Models. Ch. 1.Univariate Nonlinear Regression."
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