Search Results - subject:"variance components"

The determinants of firm profitability differences in EU food processing

Hirsch, Stefan; Schiefer, Jan; Gschwandtner, Adelina; … - In: Journal of agricultural economics 65 (2014) 3, pp. 703-721

Persistent link: https://www.econbiz.de/10010467270

Reducing bias in hierarchical forecasting

Utley, Joanne - In: Advances in business and management forecasting 10 (2014), pp. 131-141

Persistent link: https://www.econbiz.de/10010474773

Reducing Bias in Hierarchical Forecasting

Utley, Joanne - In: Advances in business and management forecasting., (pp. 131-141). 2014

This paper presents a mathematical programming model to reduce bias for both aggregate demand forecasts and lower echelon forecasts comprising a hierarchical forecasting system. Demand data from an actual service operation are used to illustrate the model and compare its accuracy with a standard...

Persistent link: https://www.econbiz.de/10015369051

Two-Stage Functional Mixed Models for Evaluating the Effect of Longitudinal Covariate Profiles on a Scalar Outcome

Zhang, Daowen; Lin, Xihong; Sowers, MaryFran R. - 2007

The Daily Hormone Study, a substudy of the Study of Women's Health Across the Nation (SWAN) consisting of more than 600 pre- and perimenopausal women, includes a scalar measure of total hip bone mineral density (BMD) together with repeated measures of creatinine-adjusted follicle stimulating...

Persistent link: https://www.econbiz.de/10009477340

Modeling heterogeneity in production models : empirical evidence from individual farming in Poland

Hockmann, Heinrich; Pieniadz, Agata; Goraj, Lech - 2007

This discussion paper deals with the estimation of a random coefficient model. The virtue of this approach is that it considers firm heterogeneity, which conventional SFA models do not. Applying the model to Polish farms, the results indicate that the conventional random and fixed effect models...

Persistent link: https://www.econbiz.de/10003557171

Assumption-free estimation of heritability from genome-wide identity-by-descent sharing between full siblings

Visscher, Peter M.; Medland, Sarah E.; Ferreira, Manuel … - 2006

The study of continuously varying, quantitative traits is important in evolutionary biology, agriculture, and medicine. Variation in such traits is attributable to many, possibly interacting, genes whose expression may be sensitive to the environment, which makes their dissection into underlying...

Persistent link: https://www.econbiz.de/10009479530

Maximum simulated likelihood: Introduction to a special issue

Drukker, David M. - In: Stata Journal 6 (2006) 2, pp. 153-155

This article gives a brief overview of the popular methods for esti- mating variance components in linear models and … xtmixed to estimate variance components. Prior to Stata 9, loneway could be used to estimate variance components for one …-way random-effects models. For other experimental designs, variance components could be computed manually using saved results …

Persistent link: https://www.econbiz.de/10004964300

Estimating variance components in Stata

Marchenko, Yulia - In: Stata Journal 6 (2006) 1, pp. 1-21

This article gives a brief overview of the popular methods for estimating variance components in linear models and … xtmixed to estimate variance components. Prior to Stata 9, loneway could be used to estimate variance components for one …-way random-effects models. For other experimental designs, variance components could be computed manually using saved results …

Persistent link: https://www.econbiz.de/10005748329

Managing Product-Harm Crises

van Heerde, Harald J. - 2006

Product-harm crises are among a firm s worst nightmares. Since marketing investments may be instrumental to convince consumers to purchase the firmamp;apos's products again, it is important to provide an adequate measurement of the effectiveness of these investments, especially after the crisis....

Persistent link: https://www.econbiz.de/10012780136

Industry, firm, year and country effects on profitability in EU food processing

Schiefer, Jan; Hirsch, Stefan; Hartmann, Monika; … - School of Economics, University of Kent - 2013

We decompose the variance of food industry return-on-assets into industry, firm, year and country effects. After determining significance in a nested ANOVA, we estimate the magnitude using components of variance in a large sample of corporations. As a robustness check, we estimate a multilevel...

Persistent link: https://www.econbiz.de/10010859419