Search Results - subject:"Rank method"

Social network platforms and climate change in China : evidence from TikTok

Sun, Yunpeng; Jia, Ruoya; Razzaq, Asif; Bao, Qun - In: Technological forecasting and social change : an … 200 (2024), pp. 1-25

Persistent link: https://www.econbiz.de/10015127501

ИСПОЛЬЗОВАНИЕ НАДМЕДИАННЫХ РАНГОВ ДЛЯ СРАВНЕНИЯ АЛЬТЕРНАТИВ НА ДОЛГОСРОЧНУЮ ПЕРСПЕКТИВУ РЕГИОНАЛЬНОГО РАЗВИТИЯ

ЛЬВОВИЧ, САДОВ СЕРГЕЙ - In: Экономические и социальные … (2014) 3, pp. 190-196

В статье предлагается авторский подход к сравнению альтернатив долгосрочного развития системы/объекта, основанный на использовании порядковых переменных....

Persistent link: https://www.econbiz.de/10011232364

Imputing Individual Effects in Dynamic Microsimulation Models. An application to household formation and labour market participation in Italy

Richiardi, Matteo; Poggi, Ambra - In: International Journal of Microsimulation 7 (2014) 2, pp. 3-39

those obtained neglecting unobserved heterogeneity altogether. We then present a first implementation of the Rank method, a … use of the Rank method significantly improves the quality of the forecasts. …

Persistent link: https://www.econbiz.de/10010960067

Imputing Individual Effects in Dynamic Microsimulation Models. An application of the Rank Method

Richiardi, Matteo; Poggi, Ambra - Collegio Carlo Alberto, Università degli Studi di Torino - 2012

those obtained neglecting unobserved heterogeneity altogether. We then present a first implementation of the Rank method, a …

Persistent link: https://www.econbiz.de/10010583573

Imputing Individual Effects in Dynamic Microsimulation Models.An application of the Rank Method.

Poggi, Ambra; Richiardi, Matteo G. - Collegio Carlo Alberto, Università degli Studi di Torino - 2012

those obtained neglecting unobserved heterogeneity altogether. We then present a first implementation of the Rank method, a …

Persistent link: https://www.econbiz.de/10010592671

The additive and block decompositions about the WLSEs of parametric functions for a multiple partitioned linear regression model

Huang, Yunying; Zheng, Bing - In: Journal of Multivariate Analysis 133 (2015) C, pp. 123-135

The necessary and sufficient conditions for the weighted least-squares estimators (WLSEs) of parametric functions K1β1+K2β2+⋯+Kmβm under a multiple partitioned linear model ℳ={y,X1β1+⋯+Xmβm,σ2Σ} to be the sum of the WLSEs of Kiβi under the m small models...

Persistent link: https://www.econbiz.de/10011116227

Some overall properties of seemingly unrelated regression models

Sun, Yuqin; Ke, Rong; Tian, Yongge - In: AStA Advances in Statistical Analysis 98 (2014) 2, pp. 103-120

restrictions, estimability of parametric functions under a singular seemingly unrelated regression model using the matrix rank … method. We also derive necessary and sufficient conditions for the ordinary least squares estimators and the best linear …

Persistent link: https://www.econbiz.de/10010759618

Some equalities for estimations of partial coefficients under a general linear regression model

Tian, Yongge; Zhang, Jieping - In: Statistical Papers 52 (2011) 4, pp. 911-920

Persistent link: https://www.econbiz.de/10009401665

On the natural restrictions in the singular Gauss–Markov model

Tian, Yongge; Beisiegel, M.; Dagenais, E.; Haines, C. - In: Statistical Papers 49 (2008) 3, pp. 553-564

Persistent link: https://www.econbiz.de/10008533920