Search Results - subject:"DEGREES OF FREEDOM"

Generalized degrees of freedom and adaptive model selection in linear mixed-effects models

Zhang, Bo; Shen, Xiaotong; Mumford, Sunni L. - In: Computational Statistics & Data Analysis 56 (2012) 3, pp. 574-586

context of linear mixed-effects models, the generalized degrees of freedom and an adaptive model selection procedure defined …

Persistent link: https://www.econbiz.de/10010574438

Multivariate Behrens–Fisher problem with missing data

Krishnamoorthy, K.; Yu, Jianqi - In: Journal of Multivariate Analysis 105 (2012) 1, pp. 141-150

Inference about the difference between two normal mean vectors when the covariance matrices are unknown and arbitrary is considered. Assuming that the incomplete data are of monotone pattern, a pivotal quantity, similar to the Hotelling T2 statistic, is proposed. A satisfactory moment...

Persistent link: https://www.econbiz.de/10010576490

Residuals and the Residual-Based Statistic for Testing Goodness of Fit of Structural Equation Models

Foldnes, Njål; Foss, Tron; Olsson, Ulf Henning - In: Journal of Educational and Behavioral Statistics 37 (2012) 3, pp. 367-386

interpretation by recognizing the residuals as the result of oblique projections. This sheds light on the concept of degrees of … freedom of the model. The authors use a simple example to illustrate the theory and also to provide simulations of residuals …

Persistent link: https://www.econbiz.de/10011147498

Conceptual steps towards exploring the fundamental nature of our Sun

Grandpierre, Attila - In: Interdisciplinary Description of Complex Systems - … 2 (2004) 1, pp. 12-28

temperature regions. A systematic approach exploring the solar collective degrees of freedom, extending to ordering phenomena of …

Persistent link: https://www.econbiz.de/10005082571

A closer examination of three small-sample approximations to the multiple-imputation degrees of freedom

Wagstaff, David A.; Harel, Ofer - In: Stata Journal 11 (2011) 3, pp. 403-419

multiple-imputation degrees of freedom proposed by Barnard and Rubin (1999, Biometrika 86: 948– 955); Lipsitz, Parzen, and Zhao …- proximations to the multiple-imputation degrees of freedom proposed by Barnard and Rubin and by Reiter performed satisfactorily … if the sampling distribution of the t statistics is in fact a Student’s t distribution with the specified degrees of …

Persistent link: https://www.econbiz.de/10011002436

Relaxation in homogeneous and non-homogeneous polarized systems. A mesoscopic entropy approach

Méndez-Bermúdez, J.G.; Santamaría-Holek, I. - In: Physica A: Statistical Mechanics and its Applications 389 (2010) 9, pp. 1819-1828

The dynamics of a degree of freedom associated to an axial vector in contact with a heat bath is described by means of a probability distribution function obeying a Fokker–Planck equation. The equation is derived by using mesoscopic non-equilibrium thermodynamics and permits a formulation of a...

Persistent link: https://www.econbiz.de/10011061482

Towards a dynamical temperature of finite Hamiltonian systems

Yan, Shiwei; Wang, Qi; Liu, Shengjun - In: Physica A: Statistical Mechanics and its Applications 388 (2009) 24, pp. 4943-4949

system with a small number of degrees of freedom (DOF). Only for systems with a sufficiently large number of DOF, do all the …

Persistent link: https://www.econbiz.de/10011060123

Simple t-distribution based tests for meta-analysis

Hartung, J.; Makambi, K. H. - 1999

The variance function of the optimal estimator of the overall mean in a heteroscedastic one-way ANOVA model is dominated by positive semi-definite quadratic functions. This makes it possible to develop closely related tests on the nullity of the overall mean parameter in one-way fixed and random...

Persistent link: https://www.econbiz.de/10010316659

Simple t-distribution based tests for meta-analysis

Hartung, Joachim; Makambi, K. H. - 1999

Persistent link: https://www.econbiz.de/10009792346

Simple t-distribution based tests for meta-analysis

Hartung, J.; Makambi, K. H. - Institut für Wirtschafts- und Sozialstatistik, … - 1999

Persistent link: https://www.econbiz.de/10010955435