Results 301 to 310 of about 1,317,921 (340)

Robust confidence intervals for the center of a symmetric distribution

Journal of Statistical Computation and Simulation, 1989
This paper gives critical values that can be used to construct a confidence interval for the center of a distribution, based on one of several robust estimators of location. The estimators studied include two hubers (tuning constants 1.0 and 1.5), two bisquares (constants 6.0 and 7.5), and three trimmed means (15%, 20%, and 25%).
R.V. Lenth, A.R. Padmanabhan
openaire   +2 more sources

Approximate Confidence Intervals for a Robust Scale Parameter

Psychometrika, 1980
A recent paper by Wainer and Thissen has renewed the interest in Gini’s mean difference, G, by pointing out its robust characteristics. This note presents distribution-free asymptotic confidence intervals for its population value, γ, in the one sample case and for the difference Δ = (γ1 − γ2) in the two sample situations. Both procedures are based on a
openaire   +3 more sources

On the robustness of empirical likelihood ratio confidence intervals for location

Canadian Journal of Statistics, 2001
AbstractThe authors examine the robustness of empirical likelihood ratio (ELR) confidence intervals for the mean and M‐estimate of location. They show that the ELR interval for the mean has an asymptotic breakdown point of zero. They also give a formula for computing the breakdown point of the ELR interval for M‐estimate.
Julie Zhou, Min Tsao
openaire   +2 more sources

Robust regression and small sample confidence intervals

Journal of Statistical Planning and Inference, 1997
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Robust confidence intervals for a proportion using ranked-set sampling

Journal of the Korean Statistical Society, 2021
J. Frey, Yimin Zhang
semanticscholar   +1 more source

Robust Confidence Interval for a Ratio of Standard Deviations

Applied Psychological Measurement, 2006
Comparing variability of test scores across alternate forms, test conditions, or subpopulations is a fundamental problem in psychometrics. A confidence interval for a ratio of standard deviations is proposed that performs as well as the classic method with normal distributions and performs dramatically better with nonnormal distributions. A simple and
openaire   +2 more sources

Robust confidence interval for a residual standard deviation

Journal of Applied Statistics, 2005
Abstract The residual standard deviation of a general linear model provides information about predictive accuracy that is not revealed by the multiple correlation or regression coefficients. The classic confidence interval for a residual standard deviation is hypersensitive to minor violations of the normality assumption and its robustness does not ...
openaire   +2 more sources

Robust estimation and confidence interval in meta-regression models

Computational Statistics & Data Analysis, 2019
Abstract Meta-analysis provides a quantitative method for combining results from independent studies with the same treatment. However, existing estimation methods are sensitive to the presence of outliers in the datasets. In this paper we study the robust estimation for the parameters in meta-regression, including the between-study variance and ...
Dalei Yu, Chang Ding, Na He, Ruiwu Wang, Xiaohua Zhou, Lei Shi   +5 more
openaire   +2 more sources

Confidence Interval Robustness with Long-Tailed Symmetric Distributions

Journal of the American Statistical Association, 1976
Abstract A variety of 95-percent confidence interval procedures have been examined in some detail using Monte Carlo techniques. These estimators were tried on simulated samples of sizes 10 and 20 from a spectrum of distributions ranging from the Gaussian to the long-tailed Cauchy.
openaire   +2 more sources

Robust Sequential Confidence Intervals for the Behrens–Fisher Problem^*

Calcutta Statistical Association Bulletin, 1971
Summary The problem of providing a bounded length (sequential) confidence interval for the median of a symmetric (but otherwise unknown) distribution based on a general class of one-sample rank-order statistics was investigated in (Sen & Ghosh, 1971).
openaire   +3 more sources