Search Results - subject:"Data type"

Advice utilization from predictive analytics tools : the trend is your friend

Fehrenbacher, Dennis D.; Ghio, Alessandro; Weisner, Martin - In: The European accounting review 32 (2023) 3, pp. 637-662

Persistent link: https://www.econbiz.de/10014413934

Accounting analytics data types and structures : an educational perspective

Askary, Saeed; Askarany, Davood; Ugras, Yusuf Joseph - In: International journal of management and decision making … 23 (2024) 5, pp. 562-585

Persistent link: https://www.econbiz.de/10015067144

Long-term electrical energy consumption forecasting for developing and developed economies based on different optimized models and historical data types

Ardakani, F.J.; Ardehali, M.M. - In: Energy 65 (2014) C, pp. 452-461

The objectives of this study are (a) development of optimized regression and ANN (artificial neural network) models for EEC (electrical energy consumption) forecasting based on several optimization methodologies, (b) examination of the effects of different historical data types on accuracy of...

Persistent link: https://www.econbiz.de/10010808774

Variable assessment in latent class models

Zhang, Q.; Ip, E.H. - In: Computational Statistics & Data Analysis 77 (2014) C, pp. 146-156

The latent class model provides an important platform for jointly modeling mixed-mode data—i.e., discrete and continuous data with various parametric distributions. Multiple mixed-mode variables are used to cluster subjects into latent classes. While the mixed-mode latent class analysis is a...

Persistent link: https://www.econbiz.de/10011056519

Persistence of Innovation in Dutch Manufacturing: Is it Spurious?

Mohnen, Pierre; Schim van der Loeff, S.; Palm, Franz; … - United Nations University, Maastricht Economic and … - 2006

1998-2000. We estimate by maximum likelihood a dynamic panel data type 2 tobit model accounting for individual effects and … likelihood a dynamic panel data type 2 tobit model accounting for individual effects and handling the initial conditions problem …: Dynamic panel data type 2 tobit, Innovation, Spurious persistence. JEL classification: C33, C34, O31 * Acknowledgements …

Persistent link: https://www.econbiz.de/10005150847

Persistence of Innovation in Dutch Manufacturing: Is it Spurious?

Raymond, Wladimir; Mohnen, Pierre; Palm, Franz; Loeff, … - Centre Interuniversitaire de Recherche en Analyse des … - 2006

1998-2000. We estimate by maximum likelihood a dynamic panel data type 2 tobit model accounting for individual effects and …

Persistent link: https://www.econbiz.de/10005100853

Persistence of Innovation in Dutch Manufacturing: Is it Spurious?

Raymond, Wladimir; Mohnen, Pierre; Palm, Franz; Loeff, … - CESifo - 2006

1998-2000. We estimate by maximum likelihood a dynamic panel data type 2 tobit model accounting for individual effects and …

Persistent link: https://www.econbiz.de/10005181320

Persistence of innovation in Dutch manufacturing : is it spurious?

Raymond, Wladimir; Mohnen, Pierre A.; Palm, Franz; van … - 2006

1998-2000. We estimate by maximum likelihood a dynamic panel data type 2 tobit model accounting for individual effects and …

Persistent link: https://www.econbiz.de/10010276134

Persistence of Innovation in Dutch Manufacturing: Is it Spurious?

Mohnen, Pierre; Schim van der Loeff, S.; Palm, Franz; … - United Nations University-Maastricht Economic Research … - 2006

Persistent link: https://www.econbiz.de/10010712308

FROM DATA MINING TO BEHAVIOR MINING

CHEN, ZHENGXIN - In: International Journal of Information Technology & … 05 (2006) 04, pp. 703-711

Knowledge economy requires data mining be more goal-oriented so that more tangible results can be produced. This requirement implies that the semantics of the data should be incorporated into the mining process. Data mining is ready to deal with this challenge because recent developments in data...

Persistent link: https://www.econbiz.de/10005033382