Measurement and models
Automated Measurement of Models of Requirements
... Abstract On way to formalize system requirements is to express them using the object-oriented paradigm. In this case, the class model representing the structure of requirements is called a requirements metamodel, and ...
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Saddlepoint test in measurement error models
... functional measurement error models for small or moderate sample sizes, where the classical first order asymp- totic analysis often fails to provide accurate ...functional models no distri- butional ...
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Nonparametric Prediction in Measurement Error Models
... the measurement errors normally distributed, but we have not transformed Y , the idea being that disease risk models are interested in the effects of nutrient intakes and not transformed intakes, see ...
Measurement and Prediction of Software Performance by Models
... esting Measurement is used by verification teams to ensure that the system under test meets its specifications, by performance modelers to build and validate models, and by designers to find and fix hot- ...
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Measurement of change in health status with Rasch models
... Rasch models represent a valid framework for the meas- urement of change and a useful complement to traditional ...the measurement were derived from the interval level of the measures and the invariance of ...
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Sequential regression measurement error models with application
... 2 Salford Business School, University of Salford, Salford, UK Abstract: Sequential regression approaches can be used to analyze processes in which covariates are revealed in stages. Such processes occur widely, with ...
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Policy Measurement and Multilateral Resistance in Gravity Models
... This paper uses hypothetical but plausible data from a known data-generating process to evaluate which models most closely and frequently draw correct conclusions from the underlying structure of the data. In the ...
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A Comparative Study of ICT Value Measurement Models
... value measurement models abound (see figure1) and are usually scattered across different ...value measurement models. In particular, knowing which of these models or tools is suited for ...
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A Review on the Existing Service Quality Measurement Models
... Berhanu Endeshaw. A Review on the Existing Service Quality Measurement Models. Science Journal of Business and Management. Vol. 7, No. 4, 2019, pp. 87-94. doi: 10.11648/j.sjbm.20190704.13 Received: July 23, ...
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COMPARATIVE STUDY OF TRAINING EFFECTIVENESS MEASUREMENT MODELS.
... In the global, competitive digital environment it is crucial that an organization should set its objectives for the continual improvement. Organizations focused toward growth and development adopts a strategic and ...
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Interval Predictor Models for Data with Measurement Uncertainty
... Predictor Models for Data with Measurement Uncertainty M´arcio ...The models are optimal in the sense that they yield an interval valued function of minimal spread containing all the ...
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Service Quality Measurement Models: a Comparison of Two Modelsea
... two measurement models possess convergent ...gap models showed discriminant validity by having relatively lower correlation with three measures of behavioural intentions of customers which are ...
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Noncognitive skills in economics: Models, measurement, and empirical evidence
... There is an increasing economic literature considering personality traits as a source of individual dif- ferences in labor market productivity and other outcomes. This paper provides an overview on the role of these ...
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Characterization and measurement of duration dependence in hazard rate models
... 6. Concluding remarks Most analyses of unemployment duration data are primarily concerned with the occurrence of negative duration dependence that may arise from stigma or discouragement effects, see e.g. Lancaster ...
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Instrumental variable estimation in binary measurement error models
... linear measurement error model instrumental variable estimator is presented and used to motivate the generalization to binary regression models.. Results of a simulation study are discus[r] ...
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Estimation and Inference of Threshold Regression Models with Measurement Errors
... Introduction Measurement error is a common problem in economic ...to measurement errors because of data aggregation or for other ...of measurement errors results in inconsistent estimation of ...
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Nonlinear models with measurement error: Application to vitamin D
... nonlinear measurement error models under certain regularity conditions and assuming the model for X is correct (Carroll et ...nonlinear measurement error models specific to maximizing the ...
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Some Recent Advances in Measurement Error Models and Methods
... Several estimation methods have been proposed to eliminate, or at least to reduce, the bias of the naive estimation method. The present paper reviews some of these methods and compares their efficiencies. Section 2 ...
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Simple Measurement Models for Complex Working-Memory Tasks
... Measurement models differ from explanatory models in that their main purpose is to measure latent variables in different experimental conditions rather than to explain differences between conditions ...
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Simple measurement models for complex working-memory tasks
... Simple Measurement Models for Complex Working-Memory Tasks Usually the variables we measure do not directly reflect the constructs that we attempt to ...Therefore, measurement models are ...
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