An empirical note concerning systematic measurement errors in regression analysisThe bias in the estimated coefficient of an explanatory variable in a regression equation because of a systematic measurement error in another explanatory variable is considered. A general expression for bias is set forth. ...
Inregression analysis, the term "standard error" is also used in the phrasestandard error of the...
Tests for serial correlation in regression analysis based on the periodogram of least-squares residuals It is shown that for a test against an excess of low-frequency relative to high-frequency variation in the errors of the regression model, a pair of lines can be drawn on the graph such th...
(1993) Response and Sequencing Errors in Surveys: A Discrete Contagious Regression Analysis. Journal of the American Statistical Association 88(423), pp. 775- 781.Hill, D. (1993), "Response and Sequencing Errors in Surveys: A Discrete Contagious Regression Analysis," Journal of the American ...
Identification in errors-in-variables regression models was recently extended to wide models classes by S. Schennach (Econometrica, 2007) (S) via use of generalized functions. In this paper the problems of non- and semi- parametric identification in such models are re-examined. Nonparametric ident...
This paper deals with the study of the estimation of the functional regression operator when the explanatory variable takes its values in some abstract space of functions. The main goal of this paper is to establish the exact rate of convergence of the mean squared error of the functional versio...
METHODS FOR FORECASTING DEMAND IN REPAIRING AN AIRLINE'S REPAIRABLE LINE REPLACEABLE UNIT PARTS DEMAND forecastingERRORS-in-variables modelsREGRESSION analysisSPARE partsPREDICTION modelsREPAIRINGScattered failure frequency, variable and complex influencing factors... Cao, Y.,Liu, Y.,Shen, D. - South Afr...
Smart & Scott (2004, this issue) criticized our paper (Wamelink et al. 2002) about the bias in average Ellenberg indicator values. Their main criticism concerns the method we used, regression analysis. They state the bias can be mimicked by the construction of an artificial data set and ...
concept and approach in this field.It is necessary for a great of practical workers to learn the knowledge on how to perform the analysis of the linear correlation and regression rationally,since people need this kind of konowledge and the textbooks of statistics are not able to meet the ...
Using the results of qualitative surveys in quantitative analysis On its turn, the latent factor approach provides a profitable alternative to the regression method in exploratory analyses and when multicollinearity and ... E D’Elia - 《Isae Working Papers》 被引量: 26发表: 2005年 Genetic vs En...