interval estimation


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interval estimation

[′in·tər·vəl ‚es·tə‚mā·shən]
(statistics)
A technique that expresses uncertainty about an estimate by defining an interval, or range of values, and indicates the certain degree of confidence with which the population parameter will fall within the interval.
References in periodicals archive ?
In many situations, interval estimation draws more attention than point estimation.
This goal often falls short in veterinary medicine when adequate sample sizes for stable interval estimation are often not met given the difficulty in obtaining specimens from healthy subsets of species, which is related to time and cost considerations as well as access to appropriate numbers of specimens from a single species in which patient history may not be complete.
Heterogeneity nature of real properties that could make one property to be different from the others; coupled with imperfect nature of property market that is characterised by inadequate information were responsible for interval estimation of values as against point estimation of values by valuers, users and investors.
His topics include basic generic reliability relationships, the point and interval estimation for discrete distributions, linear rectification of reliability models for least squares estimation of parameters, Weibull and extreme-value distributions, logistic and log-logistic distributions, and determining reliability with accelerated life testing.
Twenty-one applications-oriented chapters cover concepts including: descriptive statistics, interval estimation, simple linear regression, forecasting, nonparametric methods, and decision analysis, among others.
Their chapters cover descriptive statistics, probability, discrete probability distributions, continuous probability distributions, sampling and sampling distributions, interval estimation, hypothesis tests, comparisons involving means, comparisons involving proportions and a test of independence, simple linear regression, and multiple regression.
The method of parametric interval estimation is used for estimating of the probability of defects occurrence on the overcladdings.
A robust approach to reference interval estimation and evaluation.
They describe probability distributions, summary measures, graphs, sampling distributions, interval estimation, hypothetical testing, correlation and linear regression, and nonparametric tests.
Fieller, Some problems in interval estimation, Journal of the Royal Statistical Society, Series B 16, 175-185 (1954).
In a wider context this approach is known as interval estimation and is attributed to Jerzy Neyman, a US mathematician who was one of the principal architects of modern statistics.