Results 261 to 270 of about 505,956 (309)

Structural Validation and Measurement Invariance of the HLS-Q12 Health Literacy Instrument in Finnish Adults: Comparing Traditional and Alignment Methods. [PDF]

Int J Public Health
Zhou J, Rekola H, Sormunen M, Mäki-Opas T.   +3 more
europepmc   +1 more source

Mach-Zehnder atom interferometry with non-interacting trapped Bose-Einstein condensates. [PDF]

Nat Commun
Petrucciani T, Santoni A, Mazzinghi C, Trypogeorgos D, Cataliotti FS, Inguscio M, Modugno G, Smerzi A, Pezzè L, Fattori M.   +9 more
europepmc   +1 more source

Nonlinear thresholds in lipid-frailty interplay: Precision targets for severe airflow limitation in aging adults. [PDF]

PLoS One
Deng S, Guo Z.
europepmc   +1 more source

The development and implementation of odd-exponential-ailamujia distribution in python: properties and application in reliability engineering. [PDF]

Sci Rep
Alballa T, Ramzan Q, Amin M, Almutairi M, El-Wahed Khalifa HA.   +4 more
europepmc   +1 more source

Separating tectonic and climate signals in Holocene sea-level records using marine terraces in central Chile. [PDF]

Sci Rep
Melnick D, Jara-Muñoz J, Garrett E, Plissart G, Freisleben R, Strecker MR.   +5 more
europepmc   +1 more source

Comparing sampling needs for variograms of soil properties computed by the method of moments and residual maximum likelihood

Geoderma, 2007
It has been generally accepted that the method of moments (MoM) variogram, which has been widely applied in soil science, requires about 100 sites at an appropriate interval apart to describe the variation adequately. This sample size is often larger than can be afforded for soil surveys of agricultural fields or contaminated sites.
R Kerry, M A Oliver
exaly   +3 more sources

Some of the next articles are maybe not open access.

Related searches:

A CONDITIONAL DERIVATION OF RESIDUAL MAXIMUM LIKELIHOOD

The Australian Journal of Statistics, 1990
SummaryPatterson & Thompson (1971) introduced residual maximum likelihood estimation in the case of unbalanced incomplete block designs. Harville (1974) and Cooper & Thompson (1977) give alternative derivations of the likelihood function. The purpose of this note is to provide another derivation of the likelihood function which may be useful in
exaly   +2 more sources

Maximum likelihood estimation of models for residual covariance in spatial regression

Biometrika, 1984
The assumption of uncorrelated residuals in regression analysis of spatial data is frequently unrealistic. Therefore the maximum likelihood method of estimating parameters of covariance structure of residuals (altogether with estimating regression parameters) is described in the paper. The observed data have the form of a real valued Gaussian process Y(
Kanti V. Mardia, Richard Marshall
openalex   +2 more sources

Maximum Likelihood Estimators of Regression Coefficients for the Case of Autocorrelated Residuals

Technometrics, 1965
The classical linear regression model is extended to include the case in which the residuals are dependent with covariance matrix where A system of equations in the maximum likelihood estimators for the regression coefficients, a, and γ is derived and an iterative procedure for solving the system of equations is developed.
Trygve R. Lerwick
openalex   +2 more sources