This volume treats linear regression diagnostics as a tool for the application of linear regression models to real-life data. The presentation makes extensive use of examples to illustrate theory. The text assesses the effect of measurement errors on the estimated coefficients, which is not accounted...
(1988). Sensitivity Analysis in Linear Regression. New York: John Wiley.Chatterjee, S., and Hadi, A. S. (1988), Sensitivity Analysis in Linear Regression, New York: Wiley.Chatterjee, S., Hardi, A.S. (1988) Sensitivity Analysis in Linear Regression, New York (Wiley)....
The characteristic feature of the present book is that it takes a major step towards a development of sensitivity analysis in linear regression. The first two chapters contain a presentation of the model and the inference procedures used, including a summary of the standard least squares regression...
He is the coauthor of Sensitivity Analysis in Linear Regression and A Casebook for a First Course in Statistics and Data Analysis, both published by Wiley. ALI S. HADI, PhD, is a Distinguished University Professor and former vice provost at the American University in Cairo (AUC). He is ...
Sensitivity Analysis in Linear Regression 热度: 相关推荐 LinearProgramming SensitivityAnalysis SensitivityAnalysis •Sensitivityanalysisisconcernedwithhow changesinanLP’sparametersaffecttheLP’s optimalsolution •Theinformationweareinterestedin sensitivityanalysisincludes •theeffectontheobjectivevalue •theeffect...
We propose a novel sensitivity analysis framework for linear estimators with identification failures that can be viewed as seeing the wrong outcome distribution. Our approach measures the degree of identification failure through the change in measure between the observed distribution and a hypothetical targ...
Sensitivity analysis in isotonic median regression We consider a weighted version of the isotonic median regression problem with respect to a complete order. We show that this problem may be solved by a ver... N Chakravarti 被引量: 0发表: 1994年 The effect of experimental muscle pain on the...
sensitivity analysis to adjust interval estimates of treatment effect—both the point estimate and standard error— obtained using multiple linear regression. Central to our approach is what we term benchmarking, the use of data to establish refer- ence points for speculation about omitted confounders...
Sensitivity analysis for non-linear mathematical models Global sensitivity indices for rather complex mathematical models can be efficiently computed by Monte Carlo (or quasi-Monte Carlo) methods. These indices are used for estimating the influence of individual variables or groups of variabl... IM ...
The mean of the WAS index for the last 30min of delivery is called the WAS score and is used as a discriminator in the testing procedure. WAS score and measured pHUA-values were submitted to correlation and linear regression analysis. Sensitivity, specificity, likelihood ratios, and post-test...