John Neter
University of Minnesota
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Featured researches published by John Neter.
Journal of the American Statistical Association | 1965
John Neter; E. Scott Maynes; R. Ramanathan
Abstract When response errors are studied by means of record checks, the possibility exists that matching errors are made in relating responses to the corresponding record data. Two simple models are developed for matching errors, and the implications of such matching errors on various measures of response errors are studied. The models are applied to the data from a record check study, and it is found that relatively small imperfections in the matching process can lead to substantial bias in estimating the relationship between response errors and “true” values.
Journal of the American Statistical Association | 1970
John Neter; E. Scott Maynes
Abstract This article deals with the use and misuse of the correlation coefficient when the dependent variable is of a dichotomous 0,1 nature. It focuses particularly on problems relating to curvilinearity and the nature of the prediction being made. The prediction of consumer purchases from reported subjective probabilities provides a vehicle for illustrating problems discussed. It is noted that with a 0,1 dependent variable, the correlation ratio is likely to be a better measure of the degree of relationship than the coefficient of determination because it is free of restrictions on the functional form of the relationship. The article then considers the mean error probability and the average conditional entropy as alternative measures. Finally, the article emphasizes that the purpose for using the relation between the independent and dependent variable should govern the development of an appropriate model and the measure to be used for deciding which of several independent variables is best.
Journal of the American Statistical Association | 1966
William Wasserman; John Neter
Abstract The Stigler Committee Report [20, 21, 22] has stressed the desirability of revising the Consumer Price Index in the direction of a fixed-utility cost-of-living index. This paper proposes that a linear programming approach might be feasible for developing the food component price index of a cost-of-living index, and perhaps also for some other components. The main advantage of the linear programming approach would be that it recognizes substitutions among goods and services as prices change, whereas the conventional fixed market-basket approach to the formulation of index numbers makes no provision for such trading off of commodities and services.
Published in <b>1990</b> in Burr Ridge (Ill.) by Irwin | 1974
John Neter; William Wasserman; Michael Kutner
Journal of the Royal Statistical Society. Series A (General) | 1975
V. Barnett; John Neter; William Wasserman
Archive | 1996
John Neter; Michael Kutner; Christopher J. Nachtsheim; William Wasserman
Journal of the American Statistical Association | 1964
John Neter; Joseph Waksberg
Archive | 1990
John Neter; William Wasserman; Michael Kutner
Archive | 1985
John Neter; William Wasserman; Michael Kutner
Archive | 1996
John Neter; Michael Kutner; C. Nachtshein; William Wasserman