Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 16 of 16 for “"Non-nested"”.
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Hypothesis testing procedures for non-nested regression models
… a procedure is needed for comparing non-nested families of hypotheses. Two hypothesized models are said to be non-nested when one model is neither a restricted case nor a limiting approximation of the other. These non-nested hypotheses cannot be tested using conventional likelihood …
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Essays on choice modeling
… used to discriminate between models, either nested or non-nested. In particular, within non-nested models, four criteria and three tests are assessed, all of them based on the Kullback-Leibler Information Criterion (KLIC): the AIC, AIC3, CAIC and BIC information criteria, and the tests for …
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Three essays in econometrics
… quantile spectral estimators in a large class of nonlinear time series models and discuss inference both at fixed and across all frequencies. Monte Carlo experiments and an empirical example illustrate the advantages of quantile spectral analysis over classical methods when standard assumptions …
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Three Essays in Econometrics
… extension of exact specification tests for non-nested models. Our test is finite-sample exact under the assumption of Gaussian errors, and is easily generalized to a multiple-model hypothesis via a combined alternative. We obtain valid inference results using bootstrapped Monte Carlo …
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A multilevel method for meshless solution of the poisson equation in heat transfer and fluid flow
… polynomials. In this thesis, we present a non-nested multilevel algorithm using the PHS-RBF meshless method for the soluution of the Poisson equation, which commonly arises in numerous heat transfer and fluid flow applications. The PHS-RBF discretization of the Poisson equation leads to a …
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A multidimensional dynamic framework for handling simple interruption phenomena, anaphoric pronouns and definite descriptions
… introduces a semantical system for handling nested discourses with interruptions from a semantic point of view developed on the insights of Groenendijk and Stokhof's (1991) system which deals with anaphoric pronouns occurring in a non-nested discourse, i.e., in a linear sequence of sentences. …
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Multimodal neuroimaging signatures of early cART-treated paediatric HIV - Distinguishing perinatally HIV-infected 7-year-old children from uninfected controls
… AUC. Two concatenation techniques were explored: nested and non-nested modelling. All models were assessed for their goodness of fit using χ 2 likelihood ratio tests for non-nested models and Akaike information criterion (AIC) for nested models. To identify features most useful in distinguishing …
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Essays on testing spatial models
… a spatial dynamic panel data (SDPD) model and a nonlinear SAR (NSAR) model. The proposed test is aiming to solve model selection problems. Chapter 1,""Robust LM tests for spatial dynamic panel data models"", introduces robustLM tests for the SDPD model that includes a contemporaneous spatial lag, …
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Essays in Spatial Econometrics: Estimation, Specification Test and the Bootstrap
… Chapter 2, we consider the Cox-type tests of non-nested hypotheses for spatial autoregressive (SAR) models with SAR disturbances. We formally derive the asymptotic distributions of the test statistics. In contrast to regression models, we show that the Cox-type and J-type tests for non-nested …
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Provably efficient randomized work stealing with first-class parallel loops
… to multi-dimensional (M-D) LoopFrame, for non-nested and nested parallel loops, respectively. This paper mainly contributes the theoretical analysis on execution time of randomized work stealing with both versions of LoopFrames. The execution time is asymptotically preserved and remained …
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The impact of crime on birth weight: exploring the definition of residential environment
… model fit are comparable across PRE definitions, non-nested model specification tests suggest that the distance-defined model outperforms the census-defined model in predicting birth weight.
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A CGE Analysis of the Employment Double Dividend-Hypothesis : Substitution Patterns in Production, Foreign Trade, and Labour Market Imperfections
… and fossil fuels are estimated using a non-nested and a nested translog cost function. Sensitivity analyses with respect to substitution elasticities show that the CGE model produces an EDD for all parameter choices considered. This is mainly due to tax shifting processes towards capital …
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Detection of long-range dependence : applications in climatology and hydrology
… strategy, capable of discriminating also non-nested models. With the flexible FARIMA model class together with the Whittle estimator the first requirement is fulfilled. Standard model selection strategies, e.g., the likelihood-ratio test, is for a comparison of non-nested models frequently …
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Investigation of the 3 x 2 Achievement Goal Framework in Two University Band Contexts: Scale Development and Model Fit of a Six-Factor Structure describing University Band Students’ Goal Orientations Toward Personal and Ensemble Music Performance
… the university band population, (b) absolute and nested model comparison indices suggest that the 3 x 2 achievement goal model adequately describes the goal orientation in the context of personal music performance and in the context of performance in a university band ensemble, and (c) non-nested …
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Measures of discrimination, reclassification, and calibration for risk prediction models: an exploration in their interrelationships and practical utility and improvement in their estimation
… to distinguish correctly between events and nonevents. Measures for evaluating these qualities include (but are not limited to) Brier score, calibration-in-the-large, proportion of variation (R2), sensitivity and specificity, area under the receiver operating characteristic curve (AUC), …
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Hypothesis Testing Using Spatially Dependent Heavy-Tailed Multisensor Data
… applications, in fact, are characterized by non-Gaussian distributions. A common characteristic observed in non-Gaussian data is the presence of heavy-tails or fat tails. For such data, the probability density function (p.d.f.) of extreme values decay at a slower-than-exponential rate, …