The fitting of straight lines when both variables are subject to error
暂无分享,去创建一个
[1] R. J. Adcock. A Problem in Least Squares , 1878 .
[2] Chas. H. Kummell,et al. Reduction of Observation Equations Which Contain More Than One Observed Quantity , 1879 .
[3] Karl Pearson F.R.S.. LIII. On lines and planes of closest fit to systems of points in space , 1901 .
[4] Godfrey H. Thomson,et al. A HIERARCHY WITHOUT A GENERAL FACTOR1 , 1916 .
[5] S. S. Wilks,et al. Linear Regression Analysis of Economic Time Series. , 1938 .
[6] C. Eisenhart,et al. The Interpretation of Certain Regression Methods and Their Use in Biological and Industrial Research , 1939 .
[7] A. Wald. The Fitting of Straight Lines if Both Variables are Subject to Error , 1940 .
[8] L. Guttman,et al. Statistical Adjustment of Data , 1944 .
[9] F. H. Seares. Regression Lines and the Functional Relation. , 1944 .
[10] W. Edwards Deming,et al. Statistical Adjustment of Data , 1944 .
[11] Olav Reiersöl,et al. Confluence analysis by means of instrumental sets of variables , 1945 .
[12] A. Austen,et al. Linear ‘Curves of Best Fit’ , 1946, Nature.
[13] D. V. Lindley,et al. Regression Lines and the Linear Functional Relationship , 1947 .
[14] Zucker Lm. Evaluation of slopes and intercepts of straight lines. , 1947 .
[15] G. Housner,et al. The Estimation of Linear Trends , 1948 .
[16] M. S. Bartlett,et al. Fitting a Straight Line When Both Variables are Subject to Error , 1949 .
[17] H. Theil. A Rank-Invariant Method of Linear and Polynomial Regression Analysis , 1992 .
[18] D.Sc. Joseph Berkson. Are there Two Regressions , 1950 .
[19] O. Reiersøl. Identifiability of a Linear Relation between Variables Which Are Subject to Error , 1950 .
[20] E. Scott. I. Contribution to the Problem of Selective Identifiability of Spectroscopic Binaries. II. Note on Consistent Estimates of the Linear Structural Relation Between Two Variables. , 1950 .
[21] J. Tukey,et al. Components in regression. , 1951, Biometrics.
[22] M. Kendall,et al. Regression, structure and functional relationship. Part I. , 1951, Biometrika.
[23] Jerzy Neyman,et al. On Certain Methods of Estimating the Linear Structural Relation , 1951 .
[24] Jerzy Neyman,et al. Existence of Consistent Estimates of the Directional Parameter in a Linear Structural Relation Between Two Varibles , 1951 .
[25] E. Drion. Estimation of the Parameters of a Straight Line and of the Variances of the Variables, If They are both Subject to Error , 1951 .
[26] E. L. Kaplan,et al. TENSOR NOTATION AND THE SAMPLING CUMULANTS OF k-STATISTICS* , 1952 .
[27] Anders Hald,et al. Statistical Theory with Engineering Applications , 1952 .
[28] One Line or Two , 1952 .
[29] J. Wolfowitz. Estimation by the minimum distance method , 1953 .
[30] D. Lindley. ESTIMATION OF A FUNCTIONAL RELATIONSHIP , 1953 .
[31] James Durbin,et al. Errors in variables , 1954 .
[32] J Wolfowitz,et al. ESTIMATION OF THE COMPONENTS OF STOCHASTIC STRUCTURES. , 1954, Proceedings of the National Academy of Sciences of the United States of America.
[33] M. A. Creasy. CONFIDENCE LIMITS FOR THE GRADIENT IN THE LINEAR FUNCTIONAL RELATIONSHIP , 1956 .
[34] H. Smith. ESTIMATING A LINEAR FUNCTIONAL RELATION , 1956 .
[35] J. Kiefer,et al. CONSISTENCY OF THE MAXIMUM LIKELIHOOD ESTIMATOR IN THE PRESENCE OF INFINITELY MANY INCIDENTAL PARAMETERS , 1956 .
[36] H. Theil,et al. On the Efficiency of Wald’s Method of Fitting Straight Lines , 1956 .
[37] P. Moran. A Test of Significance for an Unidentifiable Relation , 1956 .
[38] J. Wolfowitz. The Minimum Distance Method , 1957 .
[39] Geoffrey H. Jowett,et al. `Three-Group' Regression Analysis: Part II. Multiple Regression Analysis , 1957 .
[40] T. W. Anderson,et al. Statistical Inference about Markov Chains , 1957 .