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King, Nathan (1972) An Alternative for the Linear Regression Equation When the Predictor Variable is Uncontrolled and the Sample Size is Small. Journal of the American Statistical Association, 67 (337). 217-219 doi:10.1080/01621459.1972.10481233

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Reference TypeJournal (article/letter/editorial)
TitleAn Alternative for the Linear Regression Equation When the Predictor Variable is Uncontrolled and the Sample Size is Small
JournalJournal of the American Statistical Association
AuthorsKing, NathanAuthor
Year1972 (March)Volume67
Issue337
PublisherInforma UK Limited
DOIdoi:10.1080/01621459.1972.10481233Search in ResearchGate
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Mindat Ref. ID9320914Long-form Identifiermindat:1:5:9320914:8
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Full ReferenceKing, Nathan (1972) An Alternative for the Linear Regression Equation When the Predictor Variable is Uncontrolled and the Sample Size is Small. Journal of the American Statistical Association, 67 (337). 217-219 doi:10.1080/01621459.1972.10481233
Plain TextKing, Nathan (1972) An Alternative for the Linear Regression Equation When the Predictor Variable is Uncontrolled and the Sample Size is Small. Journal of the American Statistical Association, 67 (337). 217-219 doi:10.1080/01621459.1972.10481233
In(1972, March) Journal of the American Statistical Association Vol. 67 (337) Informa UK Limited

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Singh, Bahadur, Sedransk, J. (1978) Sample Size Selection in Regression Analysis When there is Nonresponse. Journal of the American Statistical Association, 73 (362). 362-365 doi:10.1080/01621459.1978.10481583
Mallios, W. S. (1967) A Structural Regression Approach to Covariance Analysis when the Covariable is Uncontrolled. Journal of the American Statistical Association, 62 (319). 1037-1049 doi:10.1080/01621459.1967.10500915
Lord, Frederic M. (1960) Large-Sample Covariance Analysis when the Control Variable is Fallible. Journal of the American Statistical Association, 55 (290). 307-321 doi:10.1080/01621459.1960.10482065
Geweke, John F., Singleton, Kenneth J. (1980) Interpreting the Likelihood Ratio Statistic in Factor Models When Sample Size is Small. Journal of the American Statistical Association, 75 (369). 133-137 doi:10.1080/01621459.1980.10477442
Golub, Abraham (1953) Designing Single-Sampling Inspection Plans When the Sample Size is Fixed. Journal of the American Statistical Association, 48 (262). 278-288 doi:10.1080/01621459.1953.10483473
Degracie, James S., Fuller, Wayne A. (1972) Estimation of the Slope and Analysis of Covariance When the Concomitant Variable is Measured with Error. Journal of the American Statistical Association, 67 (340). 930-937 doi:10.1080/01621459.1972.10481321
Amemiya, Takeshi (1973) Regression Analysis When the Variance of the Dependent Variable is Proportional to the Square of its Expectation. Journal of the American Statistical Association, 68 (344). 928-934 doi:10.1080/01621459.1973.10481448
Srivastava, V. K. (1972) Disturbance-Variance Estimation in Simultaneous Equations When Disturbances are Small. Journal of the American Statistical Association, 67 (337). 164-168 doi:10.1080/01621459.1972.10481220
Naiman, Daniel Q. (1987) Simultaneous Confidence Bounds in Multiple Regression Using Predictor Variable Constraints. Journal of the American Statistical Association, 82 (397). 214-219 doi:10.1080/01621459.1987.10478422
Yancey, T. A., Bock, M. E., Judge, G. G. (1972) Some Finite Sample Results for Theil's Mixed Regression Estimator. Journal of the American Statistical Association, 67 (337). 176-179 doi:10.1080/01621459.1972.10481222
Geary, R. C. (1953) Non-Linear Functional Relationship Between Two Variables When One Variable is Controlled. Journal of the American Statistical Association, 48 (261). 94-103 doi:10.1080/01621459.1953.10483458
 
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