Results 291 to 300 of about 743,383 (345)
The development of a predictive autofocus algorithm using a general image formation model
, 1995 Fred Nicolls
openalex +1 more source
Automotive path following using model predictive control
, 2014 Ida Petersson, Johanna Risö
openalex +1 more source
THE DESIGN OF A NOVEL LYAPUNOV-BASED OFFSET-FREE MODEL PREDICTIVE CONTROLLER
, 2015 Buddhadeva Das
openalex +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Psychometrika, 2006
Multilevel models are proven tools in social research for modeling complex, hierarchical systems. In multilevel modeling, statistical inference is based largely on quantification of random variables. This paper distinguishes among three types of random variables in multilevel modeling—model disturbances, random coefficients, and future response ...
Frees, Edward W., Kim, Jee-Seon
openaire +1 more source
Multilevel models are proven tools in social research for modeling complex, hierarchical systems. In multilevel modeling, statistical inference is based largely on quantification of random variables. This paper distinguishes among three types of random variables in multilevel modeling—model disturbances, random coefficients, and future response ...
Frees, Edward W., Kim, Jee-Seon
openaire +1 more source
MODEL IMPERFECTION AND PREDICTING PREDICTABILITY
International Journal of Bifurcation and Chaos, 2013It has been argued that Lyapunov exponents as a measure of predictability are of limited value because they only provide a global average. Characterizing an attractor by a distribution of times for initial uncertainties to increase by a factor of q has been suggested as a more useful alternative.
openaire +1 more source
Predictive Modeling & Outcomes
Professional Case Management, 2008The intent of this article is to explain predictive modeling-a statistical tool-as it applies to the practice of case management. While actuaries and financial experts focus on the statistical relevance of predictive risk scores, case managers will benefit from knowing what these scores mean and how interpreting and applying them into meaningful action
openaire +2 more sources
The broad term of predictive modeling can therefore be undertaken to refer to statistical approaches and the related methodologies used in forecasting future trends from past data. In the marketing domain, predictive modeling has two major uses: sales forecasting and estimating the customer lifetime value.
Rajiv Iyer +3 more
openaire +1 more source
Rajiv Iyer +3 more
openaire +1 more source