Results 11 to 20 of about 1,986,171 (336)

Asymptotic properties of SPS confidence regions [PDF]

open access: yesAutomatica, 2017
Sign-Perturbed Sums (SPS) is a system identification method that constructs non-asymptotic confidence regions for the parameters of linear regression models under mild statistical assumptions.
Weyer, E   +2 more
core   +4 more sources

Regional Concentration and Confidence Regions [PDF]

open access: yes, 2015
Industries necessarily differ with respect to their type of geographical concentration. When some industries are overrepresented in urban areas (urban concentration), then some other industries must be overrepresented in rural areas (rural concentration).
Stepanyan, Andranik   +2 more
core   +2 more sources

Simultaneous confidence regions for multivariate bioequivalence [PDF]

open access: greenStatistics in Medicine, 2017
Demonstrating bioequivalence of several pharmacokinetic (PK) parameters, such asAUCandCmax, that are calculated from the same biological sample measurements is in fact a multivariate problem, even though this is neglected by most practitioners and regulatory bodies, who typically settle for separate univariate analyses.
Philip Pallmann, Thomas Jaki
openalex   +5 more sources

Nonparametric Regression, Confidence Regions and Regularization

open access: yesThe Annals of Statistics, 2007
In this paper we offer a unified approach to the problem of nonparametric regression on the unit interval. It is based on a universal, honest and non-asymptotic confidence region which is defined by a set of linear inequalities involving the values of ...
Davies, P. L., Kovac, A., Meise, M.
core   +5 more sources

Comparison of confidence regions for quantum state tomography

open access: yesNew Journal of Physics, 2023
The quantum state associated to an unknown experimental preparation procedure can be determined by performing quantum state tomography. If the statistical uncertainty in the data dominates over other experimental errors, then a tomographic reconstruction
Jessica O de Almeida   +2 more
doaj   +1 more source

Optimal Confidence Regions for Weibull Parameters and Quantiles under Progressive Censoring

open access: yesAlgorithms, 2023
Confidence regions for the Weibull parameters with minimum areas among all those based on the Conditionality Principle are constructed using an equivalent diffuse Bayesian approach.
Arturo J. Fernández
doaj   +1 more source

Confidence Intervals and Regions for Proportions under Various Three-Endmember Linear Mixture Models

open access: yesRemote 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
doaj   +1 more source

SIMPLE ALGORITHM TO CONSTRUCT CIRCULAR CONFIDENCE REGIONS IN CORRESPONDENCE ANALYSIS USING R

open access: yesBarekeng, 2022
Correspondence analysis has been widely applied in various fields as a graphical method to depict the association structure between two categorical random variables on a low-dimensional plot. This study built a simple algorithm to determine the principal
Karunia Eka Lestari   +2 more
doaj   +1 more source

Confidence Regions for Parameters in Stationary Time Series Models With Gaussian Noise

open access: yesFrontiers 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
doaj   +1 more source

Bootstrap Bandwidth Selection and Confidence Regions for Double Smoothed Default Probability Estimation

open access: yesMathematics, 2022
For a fixed time, t, and a horizon time, b, the probability of default (PD) measures the probability that an obligor, that has paid his/her credit until time t, runs into arrears not later that time t+b.
Rebeca Peláez   +2 more
doaj   +1 more source

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