Results 61 to 70 of about 119,241 (205)
Multilevel modeling of the number of property crimes: household and area effects [PDF]
This study examines household and area effects on the incidence of total property crimes and burglaries and thefts. It uses data from the 2000 British Crime Survey and the 1991 Census Small Area Statistics.
Tseloni, A
core
CCD: Census Collection District | VPC: Variance Partition Coefficient | 95%CI: 95% Confidence IntervalsMultilevel models.
Andrew Wilson (23322) +1 more
core +1 more source
Studying historical occupational careers with multilevel growth models [PDF]
In this article we propose to study occupational careers with historical data by using multilevel growth models. Historical career data are often characterized by a lack of information on the timing of occupational changes and by different numbers of ...
Ineke Maas, Wiebke Schulz
core
Multilevel model analysis using R [PDF]
The complex datasets cannot be analyzed using only simple regressions. Multilevel models (also known as hierarchical linear models, nested models, mixed models, random coefficient, random-effects models, random parameter models or split-plot designs) are
Nicolae-Marius JULA
doaj
Variegated spatial-temporal landscape of COVID-19 infection in England: findings from spatially filtered multilevel models. [PDF]
Zheng W, Wong C.
europepmc +1 more source
Multilevel IRT Modeling in Practice with the Package mlirt [PDF]
Variance component models are generally accepted for the analysis of hierarchical structured data. A shortcoming is that outcome variables are still treated as measured without an error.
Jean-Paul Fox
core +1 more source
Evolving Multilevel Forecast Combination Models - An Experimental Study [PDF]
This paper provides a description and experimental comparison of different forecast combination techniques for the application of Revenue Management forecasting for Airlines.
Gabrys, Bogdan, Riedel, Silvia
core
A variable neighborhood search with an effective local search for uncapacitated multilevel lot-sizing problems [PDF]
In this study, we improved the variable neighborhood search (VNS) algorithm for solving uncapacitated multilevel lot-sizing (MLLS) problems. The improvement is two-fold.
Xu, Yuchun +4 more
core +1 more source
O reconhecimento da influência do contexto social no comportamento humano destaca a necessidade de adoção de modelos explicativos que favoreçam a identificação desse efeito.
Katia Elizabeth Puente-Palacios +1 more
doaj +1 more source
Bayesian model selection for multilevel models using integrated likelihoods. [PDF]
Edinburgh T, Ercole A, Eglen S.
europepmc +1 more source

