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Methodology, 2018
Factorial validity is often assessed using confirmatory factor analysis. Model fit is commonly evaluated using the cutoff values for the fit indices proposed by Hu and Bentler (1999). There is a body of research showing that those cutoff values cannot be
Esther T. Beierl, M. Bühner, M. Heene
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Factorial validity is often assessed using confirmatory factor analysis. Model fit is commonly evaluated using the cutoff values for the fit indices proposed by Hu and Bentler (1999). There is a body of research showing that those cutoff values cannot be
Esther T. Beierl, M. Bühner, M. Heene
semanticscholar +1 more source
Bounded Estimation in the Presence of Nuisance Parameters
Statistical Methods and Applications, 2006zbMATH Open Web Interface contents unavailable due to conflicting licenses.
GRECO L, VENTURA, LAURA
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On Line Change Detection with Nuisance Parameters
IFAC Proceedings Volumes, 2006Abstract Dealing with nuisance parameters is an important issue in on-line monitoring safety-critical complex systems and detecting events/changes that affect their functioning. A linear stochastic-dynamical system with deterministic nuisance parameters and additive changes is considered in the paper.
Fouladirad, Mitra, Nikiforov, Igor
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Variances Are Not Always Nuisance Parameters
Biometrics, 2003Summary In classical problems, e.g., comparing two populations, fitting a regression surface, etc., variability is a nuisance parameter. The term “nuisance parameter” is meant here in both the technical and the practical sense. However, there are many instances where understanding the structure of variability is just as central as understanding the ...
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A Page test with nuisance parameter estimation
IEEE Transactions on Information Theory, 1996Summary: The detection of the onset of a signal is a common and relevant problem in signal processing. The Page test [\textit{E. S. Page}, Biometrika 41, 100-115 (1954; Zbl 0056.38002)] using the loglikelihood ratio is optimal for minimizing the worst case average delay before detection \((\overline{D})\) while constraining the average time between ...
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Handling nuisance parameters in systems monitoring
Proceedings of the 44th IEEE Conference on Decision and Control, 2006Dealing with nuisance parameters is an important issue in monitoring safety-critical complex systems and detecting events that affect their functioning. Several tools for solving statistical inference problems in the presence of nuisance parameters are described.
Basseville, Michèle, Nikiforov, Igor
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