Doubt-Free Uncertainty In Measurement

Ratcliffe, Colin P.; Ratcliffe, Bridget

doi:10.1007/978-3-319-12063-8

Cited by 22 publications

(17 citation statements)

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“…At the same time, we must acknowledge the insight (first posed by Sartre) that: "our possibilities are shaped and thus, in some sense, 'constrained' by a social world of shared meanings". 71 These constraints, as Ratcliffe also says, are not experienced as limits. The social world of shared meanings constrains our projects but does not limit them in the strict sense of "beyond this limit you cannot go"; the world of possibilities still beckons.…”

Section: Epilogue: a Diagnosis And A Dilemmamentioning

confidence: 95%

Elizabeth Vesey's Alien Pen: Autography and Handwriting

Heller¹

2014

Women's Writing

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Section: Epilogue: a Diagnosis And A Dilemmamentioning

confidence: 95%

Elizabeth Vesey's Alien Pen: Autography and Handwriting

Heller¹

2014

Women's Writing

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“…2). As random variables, these are presented by the confidence intervals around the average ( � ), including the coverage factor (C) and the standard uncertainty (uX) [13,32]. The latter is determined by the combination of the systematic standard uncertainty (bX) and the random standard uncertainty (sX).…”

Section: Assessing the Accuracy Of The Simple Modelmentioning

confidence: 99%

“…This scatter turns out to be ±4.3%, ±5.0% and ±9.2% for Seebeck coefficient, electrical resistivity and thermal conductivity of the p-doped semiconductor material, within the expected temperature regime of a THP in a nZEB. Then, assuming them to have rectangular statistical distribution, the corresponding standard uncertainties result to be 2.5%, 2.9% and 5.3% for Seebeck coefficient, electrical resistivity and thermal conductivity [32].…”

Section: Determination Of Simulated Values Of Dependent Variables ( )mentioning

confidence: 99%

Assessing the reliability of current simulation of thermoelectric heat pumps for nearly zero energy buildings: Expected deviations and general guidelines

Martínez

Garayo

Aranguren

et al. 2019

Energy Conversion and Management

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This paper makes evident that a rigorous review of simulation methods for thermoelectric heat pumps in nearly-zero energy buildings is needed, as incoherent results during verification and validation of simulation models are reported in the literature. Statistical methods based on uncertainty analysis are deployed to calculate the minimum deviations between experimental and simulated values of the main variables that define the performance of a thermoelectric heat pump, within working scenarios expected in nearly-zero energy buildings. Results indicate that the narrower confidence intervals of these deviations are set by the uncertainties in the calculation of the thermoelecric properties of the thermoelectric modules. The minimum deviation in the prediction of the electric power consumed by the thermoelectric heat pump is ±6% in all scenarios. Likewise, confidence intervals for the heat flow emitted to the hot reservoir range from ±8% for high operating voltages of the thermoelectric heat pump to ±23% for low ones. In similar terms, those of the coefficient of performance range from ±4% to ±21%. These lower limits cannot be reduced unless the uncertainties in the measurement of the thermoelectric properties are reduced. In fact, these confidence intervals are due to increase as more uncertainties are added in the analysis, so wider intervals are expected when heat exchangers and complex heat reservoir are introduced in the system. To avoid so, several guidelines for uncertainty reduction are included in the paper, intended to increase the reliability of the simulation of thermoelectric heat pumps. Among them, relevant is the precise account of the aspect ratio in a thermoelectric module, as well as the deployment of temperature and voltage sensors with systematic standard uncertainties lower than 0.3ºC and 0.01V respectively. The paper demonstrates the relevance of uncertainty propagation analysis in the verification and validation of the simulation models in this field, and underlines how misleading could be just to compare average values of experimental and simulated results.

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“…Instead of assuming that the goal of measurement is the closest possible estimation of an unknown true value (the Error Approach), metrology now holds that measurement information supports only an assignment of a range of values, given that no mistakes have been made. This range varies depending on what information is taken into account, leading to the development of uncertainty budgets [7,8].…”

Section: Uncertainty In Metrology and Psychometricsmentioning

confidence: 99%

“…Theory-informed empirical research on reading ability has begun to approximate the level of detail obtained in the construction of instruments in the natural sciences [9][10][11][12]20,27,42]. Implications for uncertainty budgets and the practical interpretation of psychometric measures begin from a distinction between Type A and Type B uncertainties [5,8].…”

Section: Uncertainty Budgetsmentioning

confidence: 99%

Towards an alignment of engineering and psychometric approaches to uncertainty in measurement: Consequences for the future

Fisher

Stenner

2017

18th International Congress of Metrology

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Abstract. The International Vocabulary of Measurement (VIM) and the Guide to Uncertainty in Measurement (GUM) shift the terms and concepts of measurement information quality away from an Error Approach toward a model-based Uncertainty Approach. An analogous shift has taken place in psychometrics with the decreasing use of True Score Theory and increasing attention to probabilistic models for unidimensional measurement. These corresponding shifts emerge from shared roots in cognitive processes common across the sciences and they point toward new opportunities for an art and science of living complex adaptive systems. The psychology of model-based reasoning sets the stage for not just a new consensus on measurement and uncertainty, and not just for a new valuation of the scientific status of psychology and the social sciences, but for an appreciation of how to harness the energy of self-organizing processes in ways that harmonize human relationships.

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Doubt-Free Uncertainty In Measurement

Cited by 22 publications

References 0 publications

Elizabeth Vesey's Alien Pen: Autography and Handwriting

Elizabeth Vesey's Alien Pen: Autography and Handwriting

Assessing the reliability of current simulation of thermoelectric heat pumps for nearly zero energy buildings: Expected deviations and general guidelines

Towards an alignment of engineering and psychometric approaches to uncertainty in measurement: Consequences for the future

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