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.
Tenders are invited for The minimum
interval estimation value mentioned in section II.
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.
