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As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.Articles
Asymptotic normality for weighted estimator of conditional density with truncated and censored data
Advanced search Communications in Statistics - Theory and Methods Latest Articles Submit an article Journal homepage Full Article Figures & data References Citations Metrics Reprints & Permissions Read this article /doi/full/10.1080/03610926.2024.2441410?needAccess=true Abstract. We, in this article, construct a weighted estimator of conditional density for a left-truncated and right-censored model by using empirical likelihood idea.
Efficiency enhancement of the modified EWMA control method with conditional expected delay for change detection in processes
1. Introduction Shewhart control charts and control charts using the EWMA statistic are two widely used methods for monitoring and improving the quality of manufacturing and business processes. Shewhart control charts were first introduced by Walter A. Shewhart in the 1920's. This method involves plotting process data on a chart with upper and lower control limits based on the mean and standard deviation of the data.
MAD (about median) vs. quantile-based alternatives for classical standard deviation, skewness, and kurtosis
Eugene Pinsky1* and Sidney Klawansky2 1Department of Computer Science, Metropolitan College, Boston University, Boston, MA, United States 2Department of Health Policy and Management, Harvard School of Public Health, Boston, MA, United States In classical probability and statistics, one computes many measures of interest from mean and standard deviation. However, mean, and especially standard deviation, are overly sensitive to outliers.
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