Valid confidence intervals for μ, σ when there is only one observation available

02/07/2022
by   Stephen Portnoy, et al.
0

Portnoy (2019) considered the problem of constructing an optimal confidence interval for the mean based on a single observation X ∼N(μ , σ^2). Here we extend this result to obtaining 1-sample confidence intervals for σ and to cases of symmetric unimodal distributions and of distributions with compact support. Finally, we extend the multivariate result in Portnoy (2019) to allow a sample of size m from a multivariate normal distribution where m may be less than the dimension.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
01/20/2017

Multivariate Confidence Intervals

Confidence intervals are a popular way to visualize and analyze data dis...
research
07/01/2018

Calculation of sample size guaranteeing the required width of the empirical confidence interval with predefined probability

The goal of any estimation study is an interval estimation of a the para...
research
08/21/2022

Efficient Concentration with Gaussian Approximation

Concentration inequalities for the sample mean, like those due to Bernst...
research
06/24/2022

Evidential Calibration of Confidence Intervals

We present a novel and easy to use method for calibrating error-rate bas...
research
09/26/2020

Constructing Confidence Intervals for the Signals in Sparse Phase Retrieval

In this paper, we provide a general methodology to draw statistical infe...
research
01/02/2021

Empirical Decision Rules for Improving the Uncertainty Reporting of Small Sample System Usability Scale Scores

The System Usability Scale (SUS) is a short, survey-based approach used ...
research
06/01/2023

Confidence Intervals for Error Rates in Matching Tasks: Critical Review and Recommendations

Matching algorithms are commonly used to predict matches between items i...

Please sign up or login with your details

Forgot password? Click here to reset