Instrumental variable estimator for the nonlinear errors-in-variables model

[1]  T. W. Anderson.  Estimating Linear Statistical Relationships , 1984 .

[2]  W. Fuller,et al.  Estimation of Nonlinear Errors-in-Variables Models , 1982 .

[3]  Wayne A. Fuller,et al.  Estimation of the quadratic errors-in-variables model , 1982 .

[4]  Yasuo Amemiya.  Estimators for the errors-in-variables model , 1982 .

[5]  L. Gleser.  Estimation in a Multivariate "Errors in Variables" Regression Model: Large Sample Results , 1981 .

[6]  Dorothy A. Anderson.  The Circular Structural Model , 1981 .

[7]  W. Fuller,et al.  Instrumental Variable Estimation of the Simple Errors-in-Variables Model , 1980 .

[8]  Wayne A. Fuller,et al.  Properties of Some Estimators for the Errors-in-Variables Model , 1980 .

[9]  Wayne A. Fuller,et al.  Some Properties of a Modification of the Limited Information Estimator , 1977 .

[10]  A. Ronald Gallant,et al.  Three-stage least-squares estimation for a system of simultaneous, nonlinear, implicit equations , 1977 .

[11]  T. W. Anderson.  Estimation of Linear Functional Relationships: Approximate Distributions and Connections with Simultaneous Equations in Econometrics , 1976 .

[12]  T. Amemiya.  The nonlinear limited-information maximum- likelihood estimator and the modified nonlinear two-stage least-squares estimator , 1975 .

[13]  M. Feldstein,et al.  Errors in Variables: A Consistent Estimator with Smaller MSE in Finite Samples , 1974 .

[14]  Takeshi Amemiya,et al.  The nonlinear two-stage least-squares estimator , 1974 .

[15]  H. Britt,et al.  The Estimation of Parameters in Nonlinear, Implicit Models , 1973 .

[16]  G. R. Dolby.  Generalized Least Squares and Maximum Likelihood Estimation of Non‐Linear Functional Relationships , 1972 .

[17]  G. R. Dolby,et al.  Maximum likelihood estimation of the general nonlinear functional relationship with replicated observations and correlated errors , 1972 .

[18]  P. Moran.  Estimating structural and functional relationships , 1971 .

[19]  C. Villegas.  On the Least Squares Estimation of Non-Linear Relations , 1969 .

[20]  R. Jennrich.  Asymptotic Properties of Non-Linear Least Squares Estimators , 1969 .

[21]  Francis Jack Smith,et al.  Polynomial Curve Fitting When Abscissas and Ordinates are both Subject to Error , 1969, Computer/law journal.

[22]  M. Clutton-Brock,et al.  Likelihood Distributions for Estimating Functions when Both Variables are Subject to Error , 1967 .

[23]  N. N. Chan.  On Circular Functional Relationships , 1965 .

[24]  The Statistical Estimation of a Rectangular Hyperbola , 1960 .

[25]  A. Madansky.  The fitting of straight lines when both variables are subject to error , 1959 .

[26]  J. Sargan.  THE ESTIMATION OF ECONOMIC RELATIONSHIPS USING INSTRUMENTAL VARIABLES , 1958 .

[27]  James Durbin,et al.  Errors in variables , 1954 .

[28]  R. C. Geary,et al.  Determination of Linear Relations Between Systematic Parts of Variables with Errors of Observation the Variances of Which are Unknown , 1949 .

[29]  Olav Reiersöl,et al.  Confluence analysis by means of instrumental sets of variables , 1945 .

[30]  A. Wald.  The Fitting of Straight Lines if Both Variables are Subject to Error , 1940 .

[31]  W. R. Cook,et al.  XCVIII. On curve-fitting by means of Least Squares , 1931 .

[32]  Deming W.Edwards,et al.  XI. The application of least squares , 1931 .