Results 241 to 250 of about 104,612 (287)

Analysis of the Stochasticity of Mortality Using Variance Decomposition

2014
We analyse the stochasticity in mortality data from the USA, the UK and Sweden, and in particular to which extent mortality rates are explained by systematic variation, due to various risk factors, and random noise. We formalise this in terms of a mixed regression model with a logistic link function, and decompose the variance of the observations into ...
Erland Ekheden, Ola Hössjer
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Orthogonal decomposition of interaction effect in analysis of variance

Journal of Statistics and Management Systems, 2013
AbstractThe traditional definition of an interaction effect in analysis of variance makes it difficult to size up its magnitude because it entails the knowledge of all the cell means in the factorial design. We use orthogonal coding to decompose the interaction effect into distinctive components that are based on mean contrasts.
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Inheritance of dermatoglyphic traits in twins: Univariate and bivariate variance decomposition analysis

Anthropologischer Anzeiger, 2012
Dermatoglyphic traits in a sample of twins were analyzed to estimate the resemblance between MZ and DZ twins and to evaluate the mode of inheritance by using the maximum likelihood-based Variance decomposition analysis. The additive genetic variance component was significant in both sexes for four traits--PII, AB_RC, RC_HB, and ATD_L.
Bibha, Karmakar, Ida, Malkin, Eugene, Kobyliansky   +2 more
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Factorization of the residual operator and canonical decomposition of nonorthogonal factors in the analysis of variance

Biometrika, 1971
SUMMARY A factorization is given of the residual operator for nonorthogonal analysis of variance. It is interpreted geometrically in terms of the critical angles between the subspaces determined by the factors. The factorization determines a recursive procedure for analysis as described by Wilkinson (1970). Canonical components are defined and a method
James, A. T., Wilkinson, G. N.
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A Physical-Constrained Decomposition Method of Infrared Thermography: Pseudo Restored Heat Flux Approach Based on Ensemble Bayesian Variance Tensor Fraction

IEEE Transactions on Industrial Informatics
In this study, we propose a new post processing algorithm, using a stable low-rank decomposed pseudo restored heat flux based on the ensemble variational Bayes tensor factorization (EVBTF-RPHF) algorithm for performing periodic square wave thermographic ...
Hongjin Wang, Yuejun Hou, Yunze He, Can Wen, Benjamin Giron-Palomares, Yuxia Duan, Bin Gao, V. Vavilov, Yaonan Wang   +8 more
semanticscholar   +1 more source

Application of variance decomposition approach in the uncertainty analysis of a hydrological model

Canadian Journal of Civil Engineering, 2013
Decomposition of uncertainty into individual sources is important for understanding the risks of decisions made under the modelling uncertainty. This paper has applied the predictive uncertainty analysis and variance decomposition (VD) approach for quantifying hydrological modelling uncertainty. The VD analysis is used for quantifying the contribution
Arpana Rani Datta, Tirupati Bolisetti
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Sensitivity analysis based on variance decomposition for factors in bat algorithm

Engineering Computations, 2019
Purpose This paper aims to quantify the dependence relationship of bat algorithm’s (BA) behaviour on the factors that could possibly affect the outputs, and rank the importance of the various uncertain factors thus suggesting research priorities. Design/methodology/approach This paper conducts a sensitivity analysis based on variance decomposition ...
Shi Yin, Ming Zhu
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Variance decompositions of nonlinear time series using stochastic simulation and sensitivity analysis

Statistics and Computing, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
T. J. Harris, Wei Yu 0028
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ANALYSIS OF EXCHANGE RATE DECOMPOSITION IN INDONESIA: A VECM APPROACH

The International Conference on Sustainable Economics Management and Accounting Proceeding
Increased economic openness has brought significant changes to the dynamics of global trade. This study uses the Vector Error Correction Model (VECM) method to analyse the exchange rate relationship with GDP, remittances, investment, and inflation in ...
Nadzwa Amalia Lutvi, Dwi Apriliana, Rifki Khoirudin, Agus Salim, Uswatun Khasanah   +4 more
semanticscholar   +1 more source

Chilean Stock Market Expected Return Analysis: A Variance Decomposition

SSRN Electronic Journal, 2010
The main objective of this paper is to quantify the effect of expectation changes about discount rate and dividend growth rate over the Chilean market portfolio returns. The model applied was taken from the works of Campbell and Shiller (1988, 1988a), Campbell (1991) and Campbell and Vuolteenaho (2005).
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