A new distribution-free approach to constructing the confidence region for multiple parameters. [PDF]
PLoS ONE, 2013 Construction of confidence intervals or regions is an important part of statistical inference. The usual approach to constructing a confidence interval for a single parameter or confidence region for two or more parameters requires that the distribution ...
Zhiqiu Hu, Rong-Cai Yang
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Hybrid Segmentation Method With Confidence Region Detection for Tumor Identification
IEEE Access, 2021 Segmentation methods can mutually exclude the location of the tumor. However, the challenge of complex location or incomplete identification is located in segmentation challenge dataset.
Khurram Ejaz +5 more
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Confidence Region for Calibration Function Coefficients
Measurement Science Review, 2018 The paper deals with the comparative calibration model, i.e. with a situation when both variables are subject to errors. The calibration function is supposed to be a polynomial.
Ráboňová Petra, Wimmer Gejza
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Confidence Region Identification and Contour Detection in MRI Image. [PDF]
Comput Intell Neurosci, 2022 Tumour region extraction (RE) method identifies the area of interest in MR imaging as it also highlights tumour boundaries. Some other intensities are existing, they are not visible but have their existence in region, and this region is called growing ...
Ejaz K +5 more
europepmc +2 more sources
An Exact Confidence Region in Multivariate Calibration
Annals of Statistics, 1994 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
exaly +3 more sources
A Confidence Region Approach to Tuning for Variable Selection. [PDF]
J Comput Graph Stat, 2012 We develop an approach to tuning of penalized regression variable selection methods by calculating the sparsest estimator contained in a confidence region of a specified level.
Gunes F, Bondell HD.
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Joint confidence region estimation of L-moment ratios with an extension to right censored data. [PDF]
J Appl Stat, 2013 L-moments, defined as specific linear combinations of expectations of order statistics, have been advocated by Hosking 7 and others in the literature as meaningful replacements to that of classic moments in a wide variety of applications.
Wang D, Hutson AD.
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Confidence Regions for Parameters in Stationary Time Series Models With Gaussian Noise
Frontiers in Physics, 2022 This article develops two new empirical likelihood methods for long-memory time series models based on adjusted empirical likelihood and mean empirical likelihood.
Xiuzhen Zhang +3 more
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Confidence Intervals and Regions for Proportions under Various Three-Endmember Linear Mixture Models
Remote Sensing, 2023 Many studies in recent years have been devoted to estimating the per-pixel proportions of three broad classes of materials (e.g., photosynthetic vegetation, non-photosynthetic vegetation and bare soil) using data from multispectral sensors.
Mark Berman
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Inference for the Linear IV Model Ridge Estimator Using Training and Test Samples
Stats, 2021 The asymptotic distribution is presented for the linear instrumental variables model estimated with a ridge penalty and a prior where the tuning parameter is selected with a holdout sample. The structural parameters and the tuning parameter are estimated
Fallaw Sowell, Nandana Sengupta
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