Results 241 to 250 of about 1,984,822 (289)
An Inkjet‐Printed Platinum‐Based Temperature Sensing Element on Polyimide Substrates
Advanced Engineering Materials, EarlyView.An inkjet‐printed, meander‐structured, nanoparticle platinum‐based resistive temperature sensors on polyimide substrates are demonstrated as proof‐of‐concept. Optimized sintering at 250°C enables stable conductive structures. The Pt100‐ and Pt1000‐type sensors exhibit linear resistance–temperature characteristics with stable TCR in the 20°C–80°C range,
Shawon Alam +6 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.Iron‐based metallic glass alloys exhibit excellent soft‐magnetic properties, and unprecedented geometrical freedom in the design of soft‐magnetic metallic glass components is made possible by additive manufacturing. An efficient workflow for developing parameters for laser‐based powder bed fusion of a Fe‐based metallic glass alloy is presented along ...
Julia Löfstrand +7 more
wiley +1 more source
Effects of Carbon Nanoparticles on Triboelectro‐Induced Surface Defects
Advanced Engineering Materials, EarlyView.Carbon nanoparticles added to grease modify the electrocontact behavior. The synergy of particle concentration and electric current dominates the surface damage of metals in contact. Electrical surface damage caused by current leakage is a critical challenge in high‐performance applications such as electric vehicle (EV) drivetrains and wind turbine ...
Mohsen Tajedini +6 more
wiley +1 more source
A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
Advanced Engineering Materials, EarlyView.This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source
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2015
Sample survey methods are used to provide direct estimates for the total of variables of the population under investigation and for sub-populations or domains.
J.N.K. Rao, Isabel Molina
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Sample survey methods are used to provide direct estimates for the total of variables of the population under investigation and for sub-populations or domains.
J.N.K. Rao, Isabel Molina
openaire +2 more sources
2010
The term “small area” typically refers to a population for which reliable statistics of interest cannot be produced due to certain limitations of the available data. Examples of domains include a geographical region (e.g., a state, county or municipality), a demographic group (e.g., a specific age × sex × race group), a demographic group within a ...
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The term “small area” typically refers to a population for which reliable statistics of interest cannot be produced due to certain limitations of the available data. Examples of domains include a geographical region (e.g., a state, county or municipality), a demographic group (e.g., a specific age × sex × race group), a demographic group within a ...
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Canadian Journal of Statistics, 2009
AbstractSmall area estimation has received considerable attention in recent years because of growing demand for small area statistics. Basic area‐level and unit‐level models have been studied in the literature to obtain empirical best linear unbiased prediction (EBLUP) estimators of small area means.
Sinha, Sanjoy K., Rao, J. N. K.
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AbstractSmall area estimation has received considerable attention in recent years because of growing demand for small area statistics. Basic area‐level and unit‐level models have been studied in the literature to obtain empirical best linear unbiased prediction (EBLUP) estimators of small area means.
Sinha, Sanjoy K., Rao, J. N. K.
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1995
Small-area estimation (SAe) is concerned with inferences about the districts (subdomains) or another division of a country (the domain) when the subsample sizes for some subdomains are not large enough for reliable inferences about them to be based solely on the subsamples.
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Small-area estimation (SAe) is concerned with inferences about the districts (subdomains) or another division of a country (the domain) when the subsample sizes for some subdomains are not large enough for reliable inferences about them to be based solely on the subsamples.
openaire +1 more source
Small Area Estimation of Agricultural Data
2021Improving social inclusion and life conditions is the object of many international project (“InGRID-2: supporting expertise in inclusive growth”, “MAKSWELL: Making Sustainable development and WELL-being frameworks works for policy analysis”). In the evidence-based policy making to combat poverty, agricultural data assume a key role.
Gaia Bertarelli +3 more
openaire +4 more sources