Results 11 to 20 of about 9,941,052 (308)

Correlated non-classical measurement errors, ‘Second best’ policy inference, and the inverse size-productivity relationship in agriculture

open access: yesJournal of Development Economics, 2019
We show analytically and empirically that non-classical measurement errors in the two key variables in a hypothesized relationship can bias the estimated relationship between them in any direction.
Christopher B. Barrett   +3 more
semanticscholar   +1 more source

Suppressing quantum errors by scaling a surface code logical qubit [PDF]

open access: yesNature, 2022
Practical quantum computing will require error rates well below those achievable with physical qubits. Quantum error correction^ 1 , 2 offers a path to algorithmically relevant error rates by encoding logical qubits within many physical qubits, for which
R. Acharya   +157 more
semanticscholar   +1 more source

A newly conceived cylinder measuring machine and methods that eliminate the spindle errors [PDF]

open access: yes, 2012
Advanced manufacturing processes require improving dimensional metrology applications to reach a nanometric accuracy level. Such measurements may be carried out using conventional highly accurate roundness measuring machines.
David, Jean Marie   +6 more
core   +1 more source

Degradation analysis based on an extended inverse Gaussian process model with skew-normal random effects and measurement errors

open access: yesReliability Engineering & System Safety, 2019
As an important degradation model for monotonic degradation processes, the inverse Gaussian (IG) process model has attracted a lot of attention. To characterize random effects among test samples, the traditional IG process model usually assumes a normal ...
Songhua Hao, Jun Yang, C. Bérenguer
semanticscholar   +1 more source

Set of geometric errors evaluation based on R-test measurement [PDF]

open access: yes, 2019
Presented paper deals with the development of a procedure for fast measurement and evaluation of the set of basic geometric errors of the five-axis milling machines.
Horejš O., Morávek M., Bach P.
core   +1 more source

Assessment of digital image correlation measurement errors: methodology and results [PDF]

open access: yes, 2009
Optical full-field measurement methods such as Digital Image Correlation (DIC) are increasingly used in the field of experimental mechanics, but they still suffer from a lack of information about their metrological performances. To assess the performance
Vacher, Pierre   +14 more
core   +1 more source

Facial soft tissue thicknesses in craniofacial identification: Data collection protocols and associated measurement errors.

open access: yesForensic Science International, 2019
Facial soft tissue thicknesses (FSTT) form a key component of craniofacial identification methods, but as for any data, embedded measurement errors are highly pertinent. These in part dictate the effective resolution of the measurements.
C. Stephan   +4 more
semanticscholar   +1 more source

HARK the SHARK: Realized Volatility Modeling with Measurement Errors and Nonlinear Dependencies*

open access: yesJournal of Financial Econometrics, 2019
Despite their effectiveness, linear models for realized variance neglect measurement errors on integrated variance and exhibit several forms of misspecification due to the inherent nonlinear dynamics of volatility.
G. Buccheri, F. Corsi
semanticscholar   +1 more source

Transition Models with Measurement Errors [PDF]

open access: yesReview of Economics and Statistics, 1999
Les auteurs estiment un modèle de transition entre états sur le marché du travail qui tient compte des erreurs de classification dans les déclarations des états occupés. Ces erreurs de mesure viennent du caractère partiellement rétrospectif du questionnaire de l'enquête.
Magnac, Thierry, Visser, Michael
openaire   +5 more sources

A Synthetic median control chart for monitoring the process mean with measurement errors

open access: yesQuality and Reliability Engineering International, 2019
Recent studies show that the Shewhart median chart is widely used for detecting shifts in a process, but it is often rather inefficient in detecting small or moderate process shifts. In order to overcome this problem, a Synthetic chart can be used.
P. H. Tran, K. Tran, A. Rakitzis
semanticscholar   +1 more source

Home - About - Disclaimer - Privacy