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2010
This chapter deals with statistical methods that, in some way, avoid mathematical difficulties that one would be facing using traditional approaches. The traditional approach of mathematical statistics is based on analytic expressions, or formulas, so avoiding these might seem itself a formidable task, especially in view of the chapters that so far ...
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This chapter deals with statistical methods that, in some way, avoid mathematical difficulties that one would be facing using traditional approaches. The traditional approach of mathematical statistics is based on analytic expressions, or formulas, so avoiding these might seem itself a formidable task, especially in view of the chapters that so far ...
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Transformed jackknife empirical likelihood for probability weighted moments
Journal of Statistical Computation and Simulation, 2022Yichuan Zhao
exaly
The Generalized Jackknife Statistic
International Statistical Review / Revue Internationale de Statistique, 1974David S. Salsburg +2 more
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Revue de l'Institut International de Statistique / Review of the International Statistical Institute, 1971
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Jackknife, Bootstrap and Other Resampling Methods in Regression Analysis
Annals of Statistics, 1986C F J Wu
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Calculating Jackknife Variance Estimators for Parameters of the Gini Method
Journal of Business and Economic Statistics, 1991Shlomo Yitzhaki
exaly
Jackknife Empirical Likelihood
Journal of the American Statistical Association, 2009Bing-Yi Jing
exaly