Nonlinear models for the design cases
Space-filling design for nonlinear models
... Sampling from a given density with respect to the Lebesgue measure is a classical topic that has been addressed by many traditional methods such as inversion, acceptance-rejection, and Markov chain Monte Carlo; in ...
44
Optimal design for additive partially nonlinear models
... regression models with multivariable predictors. While optimal design has been discussed intensively for multivariable linear models (see ...heteroscedastic models, whereas [11] consider ...
18
Optimal design for additive partially nonlinear models
... optimal design theory for additive partially nonlinear regression models, and show that D-optimal designs can be found as the products of the corresponding D-optimal designs in one ...partially ...
15
Sound design for nonlinear artefacts: models for sound design in the transformation between linear and nonlinear artefacts.
... linear models of ...game design with the design for Disney’s theme parks (in which he has been involved) where the experience for the visitor has been a carefully pre-designed ...
180
The design of dynamic and nonlinear models in cash flow prediction
... 143 suggests that the DSCF model could have superior power in making predictions for market prices. In conclusion, the above comparisons of the empirical results by analysing four different datasets show that it is ...
239
Reduced-order model design for nonlinear smart system models
... discretize nonlinear smart material system models can yield full-order numerical models that accurately characterize the system dynamics but do so at significant computational ...full-order ...
8
Fatigue Design Challenges in Aerospace Industry: Recent Linear and Nonlinear Models
... fatigue design rules affect the proactive identification of safety parameters in aerospace ...propagation models, linear and nonlinear, have been developed for designing purposes or estimation of the ...
11
Disturbance observer design for nonlinear systems represented by input-output models
... the nonlinear system can be developed in a direct fashion using the ordinary differential equations which describe the plant model simply through the addition of high gain ...phase models can be extended to ...
11
Nonlinear Statistical Models
... linear models (model is a linear function of the parameters), the estimates of linear functions of the response values and their standard errors have simple closed-form expressions and can thus be analytically ...
12
MODELS, NUMBERS, AND CASES
... research design and causal inference (but it does not focus on issues that are of particular importance to the study of international ...Theories, Models, and Simulations in International Relations ...
17
Nonlinear Structural Functional Models
... Semiparametric Nonlinear Mixed Ef- fects Models (SSNMM) for the alignment, estimation, and comparison of sparsely- structured functional ...general models that allow for the com- parison of multiple ...
101
Random Models in Nonlinear Optimization
... new models of noise which cannot be handled by any of the other methods discussed ...second-order models without changing the algorithm - the step size parameter ...
169
Nonlinear Observer Design for Nonlinear Pendulum Systems
... the nonlinear observer design for nonlinear pendulum ...observer design for nonlinear systems is used to solve the problem of local exponential observer design for ...
6
Design of delayed fractional state variable filter for parameter estimation of fractional nonlinear models
... fractional-order nonlinear systems is ...fractional nonlinear ordinary differential equation ...FBF design and are here termed as the square root base and compartmental ...
17
Design evaluation and optimisation in crossover pharmacokinetic studies analysed by nonlinear mixed effects models
... crossover design and can be analysed by nonlinear mixed effects models as an alternative to noncompartmental ...in nonlinear mixed effects models to design crossover ...
27
Potentials of Evolving Linear Models in Tracking Control Design for Nonlinear Variable Structure Systems
... neuro-fuzzy models have been developed in modeling nonlinearity and time-varying ...a nonlinear evolving model often can be described as an interpolated of locally linear models constructed from ...
17
Towards Bayesian experimental design for nonlinear models that require a large number of sampling times
... experimental design problems has increased in the last few ...two design variables, which generate multiple design ...two design variables, rather than searching for a large number of optimal ...
22
Robust nonlinear models for CMOS buffers
... port of a buffer, the equivalent capacitance of the silicon die, the parameters of the equivalent circuit of the package,...) [5- 6]. A certain number of alternative approaches, complementing IBIS and providing improved ...
5
Oaxaca/Blinder decompositions for nonlinear models
... nldecompose supports the following Stata commands: regress, tobit, intreg, truncreg, poisson, nbreg, zip, zinb, ztp, ztnb, logit, probit, ologit, oprobit... ) sigma(#) ll(varname) ul(v[r] ...
25
On concurvity in nonlinear and nonparametric regression models
... global nonlinear relationships between predictor ...data cases. Indeed, in these cases, concurvity tends to be present when predictor variables show strong association ...when nonlinear ...
14