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A General Method for Local Sensitivity Analysis With Application to Regression Models and Other Optimization Problems
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/0471667196.ess1317openalex-snapshot
Journal of The American Statistical Association
inferredcites →https://doi.org/10.1007/978-1-4612-4444-8_13openalex-snapshot
General Approaches to Stepwise Identification of Unusual Values in Data Analysis
inferredcites →https://doi.org/10.1016/0167-7152(90)90097-qopenalex-snapshot
Influence diagnostics for the Weibull model fit to censored data
inferredcites →https://doi.org/10.1016/0167-9473(92)90078-topenalex-snapshot
A new measure of overall potential influence in linear regression
inferredcites →https://doi.org/10.1016/0305-0548(93)90042-hopenalex-snapshot
Nonlinear programming: theory and algorithms
inferredcites →https://doi.org/10.1016/0378-4754(86)90092-3openalex-snapshot
Linear and nonlinear programming.
inferredcites →https://doi.org/10.1016/s0167-4730(03)00039-0openalex-snapshot
Design and sensitivity analysis using the probability-safety-factor method. An application to retaining walls
inferredcites →https://doi.org/10.1016/s0167-9473(00)00042-6openalex-snapshot
A Comparative analysis of multiple outlier detection procedures in the linear regression model
inferredcites →https://doi.org/10.1016/s0951-8320(02)00225-9openalex-snapshot
Sensitivity analysis in Gaussian Bayesian networks using a symbolic-numerical technique
inferredcites →https://doi.org/10.1016/s0951-8320(03)00164-9openalex-snapshot
An alternative approach for addressing the failure probability-safety factor method with sensitivity analysis
inferredcites →https://doi.org/10.1061/(asce)0733-950x(2004)130:2(77)openalex-snapshot
Optimal Engineering Design Method that Combines Safety Factors and Failure Probabilities: Application to Rubble-Mound Breakwaters
inferredcites →https://doi.org/10.1061/jeegav.0000440openalex-snapshot
Land Use and Water Quality in New York Rivers
inferredcites →https://doi.org/10.1080/00031305.1997.10473944openalex-snapshot
Elemental Subsets: The Building Blocks of Regression
inferredcites →https://doi.org/10.1080/00401706.1984.10487980openalex-snapshot
K-Clustering as a Detection Tool for Influential Subsets in Regression
inferredcites →https://doi.org/10.1080/00401706.1991.10484839openalex-snapshot
A Generalized Extreme Studentized Residual Multiple-Outlier-Detection Procedure in Linear Regression
inferredcites →https://doi.org/10.1080/00949658608810895openalex-snapshot
A simple graphic for assessing influence in regression
inferredcites →https://doi.org/10.1080/01621459.1956.10501315openalex-snapshot
Multiple Regression with Missing Observations Among the Independent Variables
inferredcites →https://doi.org/10.1080/01621459.1993.10476407openalex-snapshot
Procedures for the Identification of Multiple Outliers in Linear Models
inferredcites →https://doi.org/10.1080/01621459.1994.10476872openalex-snapshot
Fast Very Robust Methods for the Detection of Multiple Outliers
inferredcites →https://doi.org/10.1111/j.1467-842x.1990.tb00995.xopenalex-snapshot
INFLUENCE DIAGNOSTICS FOR THE NORMAL LINEAR MODEL WITH CENSORED DATA
inferredcites →https://doi.org/10.1111/j.2517-6161.1977.tb01600.xopenalex-snapshot
Maximum Likelihood from Incomplete Data Via the EM Algorithm
inferredcites →https://doi.org/10.1111/j.2517-6161.1986.tb01398.xopenalex-snapshot
Assessment of Local Influence
inferredcites →https://doi.org/10.1111/j.2517-6161.1995.tb02020.xopenalex-snapshot
The Detection of Influential Subsets in Linear Regression by Using an Influence Matrix
inferredcites →https://doi.org/10.1126/science.2814512openalex-snapshot
Manic Depression Gene Put in Limbo
inferredcites →https://doi.org/10.1214/aos/1176345513openalex-snapshot
Logistic Regression Diagnostics
inferredcites →https://doi.org/10.2307/1268249openalex-snapshot
Detection of Influential Observation in Linear Regression
inferredcites →https://doi.org/10.2307/1269011openalex-snapshot
A Connection Between Local-Influence Analysis and Residual Diagnostics
inferredcites →https://doi.org/10.2307/1269490openalex-snapshot
K-Clustering as a Detection Tool for Influential Subsets in Regression
inferredcites →https://doi.org/10.2307/1269506openalex-snapshot
Residuals and Influence in Regression
inferredcites →https://doi.org/10.2307/1271434openalex-snapshot
Detection of Influential Observation in Linear Regression
inferredcites →https://doi.org/10.2307/2289498openalex-snapshot
Plots, Transformations, and Regression: An Introduction to Graphical Methods of Diagnostic Regression Analysis.
inferredcites →https://doi.org/10.2307/2289957openalex-snapshot
Sensitivity Analysis in Linear Regression.
inferredcites →https://doi.org/10.2307/2348320openalex-snapshot
Sensitivity Analysis in Linear Regression.
inferredcites →https://doi.org/10.2307/2530247openalex-snapshot
The Application of Robust Calibration to Radioimmunoassay
inferredcites →https://doi.org/10.2307/2532306openalex-snapshot
Assessing Influence in Regression Analysis with Censored Data
inferredcites →https://doi.org/10.2307/2581267openalex-snapshot
Regression Diagnostics -- Identifying Influential Data and Sources of Collinearity
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