In the least square analysis of data based on a full rank linear regression model, an observation may be judged influential if important features of the analysis—i.e. estimated regression coefficients are altered substantially when the observation is isolated from the analysis. In microeconomics researches, influential observations usually can be attributed to various factors. Thi
Available from Centro de Informacion y Documentacion Cientifica CINDOC. Joaquin Costa, 22. 28002 Mad...
Methods of detecting influential observations for the normal model for censored data are proposed. T...
The detection of outliers and influential observations has received a great deal of attention in the...
This paper is concerned with the identification of influential observations when we analyze survey d...
Statisticshttp://deepblue.lib.umich.edu/bitstream/2027.42/63983/1/wang_xuanzhong_2009_stats.pd
textabstractA common characteristic of diagnostic measures on influential observations is the assump...
This thesis contributes to influence analysis in nonlinear regression and in particular the detectio...
An overlooked aspect of multiple regression research using employee-provided data is the potential f...
This paper considers the role of influence diagnostics in the partially linear regression models, y ...
Suggested diagnostics for influence on the estimated regression coefficients in a general-ized linea...
This paper studies how to identify influential observations in the functional linear model in which ...
Methods of detecting influential observations for the normal model for censored data are proposed. T...
AbstractThis paper studies how to identify influential observations in the functional linear model i...
Influential data points can affect the results of a regression analysis; for example, the usual sum...
We occasionally find that a small subset of the data exerts a disproportionate influence on the fitt...
Available from Centro de Informacion y Documentacion Cientifica CINDOC. Joaquin Costa, 22. 28002 Mad...
Methods of detecting influential observations for the normal model for censored data are proposed. T...
The detection of outliers and influential observations has received a great deal of attention in the...
This paper is concerned with the identification of influential observations when we analyze survey d...
Statisticshttp://deepblue.lib.umich.edu/bitstream/2027.42/63983/1/wang_xuanzhong_2009_stats.pd
textabstractA common characteristic of diagnostic measures on influential observations is the assump...
This thesis contributes to influence analysis in nonlinear regression and in particular the detectio...
An overlooked aspect of multiple regression research using employee-provided data is the potential f...
This paper considers the role of influence diagnostics in the partially linear regression models, y ...
Suggested diagnostics for influence on the estimated regression coefficients in a general-ized linea...
This paper studies how to identify influential observations in the functional linear model in which ...
Methods of detecting influential observations for the normal model for censored data are proposed. T...
AbstractThis paper studies how to identify influential observations in the functional linear model i...
Influential data points can affect the results of a regression analysis; for example, the usual sum...
We occasionally find that a small subset of the data exerts a disproportionate influence on the fitt...
Available from Centro de Informacion y Documentacion Cientifica CINDOC. Joaquin Costa, 22. 28002 Mad...
Methods of detecting influential observations for the normal model for censored data are proposed. T...
The detection of outliers and influential observations has received a great deal of attention in the...