Results 241 to 250 of about 166,182,603 (289)
Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch
International Journal of Adaptive Control and Signal Processing, EarlyView.This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane +3 more
wiley +1 more source
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IEEE Software, 2006
It appears to be with software architectures: for a given domain, even across the decades, forces are at play that are best resolved by a common architectural pattern that allows variants. One architectural style might be deemed "better" than another for that domain because it better resolves those forces. In that sense, there's a goodness of fit - not
Fred Campano, Dominick Salvatore
+5 more sources
It appears to be with software architectures: for a given domain, even across the decades, forces are at play that are best resolved by a common architectural pattern that allows variants. One architectural style might be deemed "better" than another for that domain because it better resolves those forces. In that sense, there's a goodness of fit - not
Fred Campano, Dominick Salvatore
+5 more sources
Fitting In and Doing Good, or Doing Good to Fit In?
Academy of Management Proceedings, 2023Fitting In and Doing Good, or Doing Good to Fit In?
Wouter Vleugels, Huw Flatau Harrison
openaire +1 more source
Smooth Tests of Goodness of Fit
Technometrics, 1991AbstractSmooth tests of goodness of fit assess the fit of data to a given probability density function within a class of alternatives that differs ‘smoothly’ from the null model. These alternatives are characterized by their order: the greater the order the richer the class of alternatives. The order may be a specified constant, but data‐driven methods
Rayner, J. C. W., Thas, O., Best, D. J.
openaire +2 more sources
An alternative to the goodness of fit
Acta Crystallographica Section A Foundations and Advances, 2016An alternative measure to the goodness of fit (GoF) is developed and applied to experimental data. The alternative goodness of fit squared (aGoFs) demonstrates that the GoF regularly fails to provide evidence for the presence of systematic errors, because certain requirements are not met. These requirements are briefly discussed.
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Simulation, Estimation, and Goodness of Fit
2012Exploring and Relating Model to Data in Practice Previous chapters concentrated on the formulation and specification of exponential random graph models (ERGMs) for different types of relational data. In Chapter 6, we saw that effects represented by configurations and corresponding parameters define a distribution of graphs where the probability of ...
Koskinen, J., Snijders, T.A.B.
openaire +3 more sources
2021
Disorder (HD) is a complex mental health problem defined by an overabundance of clutter, difficulty with organization and discarding, and problems regulating acquisition. This chapter describes the features of HD, evidence-based intervention approaches and outcomes, and the elements of a manualized treatment approach with emphasis on flexible delivery ...
Suzanne Otte +2 more
openaire +2 more sources
Disorder (HD) is a complex mental health problem defined by an overabundance of clutter, difficulty with organization and discarding, and problems regulating acquisition. This chapter describes the features of HD, evidence-based intervention approaches and outcomes, and the elements of a manualized treatment approach with emphasis on flexible delivery ...
Suzanne Otte +2 more
openaire +2 more sources
Biometrika, 1975
SUMMARY Fitting a parametric model or estimating a parametric density function plays an important role in a number of statistical applications. Two widely-used methods, one replacing the unknown parameter by an efficient estimate and so termed estimative and the other using a mixture of the possible density functions and commonly termed predictive, are
openaire +2 more sources
SUMMARY Fitting a parametric model or estimating a parametric density function plays an important role in a number of statistical applications. Two widely-used methods, one replacing the unknown parameter by an efficient estimate and so termed estimative and the other using a mixture of the possible density functions and commonly termed predictive, are
openaire +2 more sources
2001
The airport limousine example in Chapter 2 illustrates how important the knowledge of random distribution of data and the shape of the histogram can be to drawing statistically sound conclusions. Although we didn’t state it in the example, the assumption that the data followed a known statistical distribution was inherent in the calculations of the ...
Robert P. Trueblood, John N. Lovett
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The airport limousine example in Chapter 2 illustrates how important the knowledge of random distribution of data and the shape of the histogram can be to drawing statistically sound conclusions. Although we didn’t state it in the example, the assumption that the data followed a known statistical distribution was inherent in the calculations of the ...
Robert P. Trueblood, John N. Lovett
openaire +2 more sources