Results 101 to 110 of about 8,447,173 (379)
On Quadratic Estimates of Variance Components
In this paper quadratic estimates of variance components are considered. For the general balanced nested classification with no specific distributions assumed, it is shown that the quadratic estimate which is unbiased and which has minimum variance is given by the analysis of variance method of estimating the variance components.
openaire +4 more sources
Analysis of variance for bayesian inference [PDF]
This paper develops a multi-way analysis of variance for non-Gaussian multivariate distributions and provides a practical simulation algorithm to estimate the corresponding components of variance. It specifically addresses variance in Bayesian predictive
Amisano, Gianni, Geweke, John
core
Inference in components of variance models with low replication
In components of variance models the data are viewed as arising through a sum of two random variables, representing between- and within-group variation, respectively. The former is generally interpreted as a group effect, and the latter as error.
Hall, Peter, Yao, Qiwei
core +1 more source
By dawn or dusk—how circadian timing rewrites bacterial infection outcomes
The circadian clock shapes immune function, yet its influence on infection outcomes is only beginning to be understood. This review highlights how circadian timing alters host responses to the bacterial pathogens Salmonella enterica, Listeria monocytogenes, and Streptococcus pneumoniae revealing that the effectiveness of immune defense depends not only
Devons Mo +2 more
wiley +1 more source
Sequential Tests for Variance Ratios and Components of Variance
A general sequential sampling method is given for problems of comparing the variances of two or more normal populations in terms of ratios of variances. Sequential tests are given for a hypothesis specifying the ratio of two variances, including tests for variance components in the analysis of variance (Model II).
openaire +2 more sources
Numerical least-square method for resolving complex pulse height spectra [PDF]
Linear least-square method resolves complex pulse height spectra, allowing for calculation of relative intensity, of statistical variance based on counting statistics of the correlation between library components, and of the goodness-of-fit chi square ...
Schmadebeck, R., Trombka, J. I.
core +1 more source
Why emerging leaders should focus on being good postdoctoral supervisors
Swamped with work and suddenly a new student is waiting at your doorstep for supervision? Great—this is your chance! In this article, we share tips on how postdocs can strengthen their leadership skills while supervising students. This image has been created using DALL·E. Many postdocs work as leaders later in their career.
Hannah Rostalski +5 more
wiley +1 more source
Estimation models of variance components for farrowing interval in swine
The main objective of this study was to evaluate the importance of including maternal genetic, common litter environmental and permanent environmental effects in estimation models of variance components for the farrowing interval trait in swine.
Aderbal Cavalcante Neto +6 more
doaj +1 more source
Likelihood inference for small variance components
The authors explore likelihood-based methods for making inferences about the components of variance in a general normal mixed linear model. In particular, they use local asymptotic approximations to construct confidence intervals for the components of ...
Stern, Steven E, Welsh, A. H.
core
Decomposition of variance in terms of conditional means
We test against two different sets of data an apparently new approach to the analysis of the variance of a numerical variable which depends on qualitative characters.
Guerriero, Angelo +4 more
core +1 more source

