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Science of characterizing uncertainties
Uncertainty quantification (UQ) is the science of quantitative characterization and estimation of uncertainties in both computational and real world applications
Uncertainty_quantification
Situations involving imperfect or unknown information
Statistical mechanics Subjective logic Uncertainty quantification Uncertainty tolerance Volatility, uncertainty, complexity and ambiguity Peter Norvig;
Uncertainty
Effect of variables' uncertainties on the uncertainty of a function based on them
Experimental uncertainty analysis Interval finite element Measurement uncertainty Numerical stability Probability bounds analysis Uncertainty quantification Random-fuzzy
Propagation_of_uncertainty
Study of uncertainty in the output of a mathematical model or system
analysis, which has a greater focus on uncertainty quantification and propagation of uncertainty; ideally, uncertainty and sensitivity analysis should be
Sensitivity_analysis
Quantification of Margins and Uncertainty (QMU) is a decision support methodology for complex technical decisions. QMU focuses on the identification,
Quantification of margins and uncertainties
Quantification_of_margins_and_uncertainties
Researcher in applied mathematics
uncertainty quantification and has been editor of the Handbook of Uncertainty Quantification and the SIAM/ASA Journal on Uncertainty Quantification.
Houman_Owhadi
Foundational principle in quantum physics
The uncertainty principle, also known as Heisenberg's indeterminacy principle, is a fundamental concept in quantum mechanics. It states that there is
Uncertainty_principle
Approximation method in statistics
Least absolute deviations Least-squares spectral analysis Measurement uncertainty Orthogonal projection Proximal gradient methods for learning Quadratic
Least_squares
other words, uncertainty analysis aims to make a technical contribution to decision-making through the quantification of uncertainties in the relevant
Uncertainty_analysis
Factor of lower probability in measurement
Test method Uncertainty Uncertainty quantification JCGM 100:2008. Evaluation of measurement data – Guide to the expression of uncertainty in measurement
Measurement_uncertainty
Statistical technique for producing prediction sets
Conformal prediction (CP) is an algorithm for uncertainty quantification that produces statistically valid prediction regions (multidimensional prediction
Conformal_prediction
Measure of error in statistics
better. Importantly the NLPD assesses the quality of the model's uncertainty quantification. It is used for both regression and classification. To compute:
Negative log predictive density
Negative_log_predictive_density
Societal concept
cross-cultural psychology, uncertainty avoidance is how cultures differ on the amount of tolerance they have of unpredictability. Uncertainty avoidance is one of
Uncertainty_avoidance
Method of representing a random variable
probabilistic uncertainty in the parameters of a system. In particular, PCE has been used as a surrogate model to facilitate uncertainty quantification analyses
Polynomial_chaos
Academic association dedicated to the use of mathematics in industry
Optimization Orthogonal Polynomials and Special Functions Supercomputing Uncertainty Quantification SIAM publishes 18 research journals: SIAM Journal on Applied Mathematics
Society for Industrial and Applied Mathematics
Society_for_Industrial_and_Applied_Mathematics
mathematician known for his contributions in computational mechanics and uncertainty quantification. He is an emeritus Professor at the Laboratoire Modélisation et
Christian_Soize
American statistics conference
research areas including design and analysis of experiments, uncertainty quantification, computer experiment, machine learning, quality control, reliability
Spring_Research_Conference
He authored a series of reports that have been influential in uncertainty quantification for engineering risk assessment and design problems. "Ferson,
Scott_Ferson_(professor)
Subset of artificial intelligence
compared to Bayesian approaches to incorporate ignorance and uncertainty quantification. These belief function approaches that are implemented within
Machine_learning
American mathematician
for fluids in complex geometries, general polynomial chaos for uncertainty quantification, and the Sturm-Liouville theory for partial differential equations
George_Karniadakis
Physics and engineering software package
"Robustimizer: A graphical user interface application for efficient uncertainty quantification, robust optimization, and reliability-based optimization of processes
COMSOL_Multiphysics
h_{\ell }=2^{-\ell }T} . The application of MLMC to problems in uncertainty quantification (UQ) is an active area of research. An important prototypical
Multilevel_Monte_Carlo_method
Parameter introduced by the Minor Planet Center
The uncertainty parameter U is introduced by the Minor Planet Center (MPC) to quantify the uncertainty of a perturbed orbital solution for a minor planet
Uncertainty_parameter
Chinese-American mechanical engineer
design of experiments, metamodeling in design, uncertainty quantification, and design under uncertainty. She is the Wilson-Cook Professor in Engineering
Wei_Chen_(engineer)
The sociology of quantification is the investigation of quantification as a sociological phenomenon in its own right. According to a review published
Sociology_of_quantification
Set of methods for supervised statistical learning
feature modeling, automatic hyperparameter tuning, and predictive uncertainty quantification. In 2017, a scalable version of the Bayesian SVM was developed
Support_vector_machine
Process of mathematical modelling, performed on a computer
simulation, computer experiments are used to perform inference such as uncertainty quantification. A model consists of the equations used to capture the behavior
Computer_simulation
Method of interpolation
Fidelity". International Journal for Uncertainty Quantification. 4 (5): 365–386. doi:10.1615/Int.J.UncertaintyQuantification.2014006914. ISSN 2152-5080. S2CID 14157948
Kriging
Linear differential equation
equations are used in wing shape optimization, fluid flow control and uncertainty quantification. Consider the following linear, scalar advection-diffusion equation
Adjoint_equation
Change in the statistical distribution of climate elements for an extended period
90..311T. doi:10.1175/2008BAMS2634.1. Smith, Ralph C. (2013). Uncertainty Quantification: Theory, Implementation, and Applications. Computational Science
Climate variability and change
Climate_variability_and_change
Statistics models class
boosting, although this typically requires bootstrapping for uncertainty quantification. GAMs fit using bagging and boosting have been found to generally
Generalized_additive_model
Concept in project and disaster management
In project management, the cone of uncertainty describes the evolution of the amount of best case uncertainty during a project. At the beginning of a project
Cone_of_uncertainty
Fidelity". International Journal for Uncertainty Quantification. 4 (5): 365–386. doi:10.1615/Int.J.UncertaintyQuantification.2014006914. ISSN 2152-5080. S2CID 14157948
Multifidelity_simulation
Propagation of error with varying topology
estimate obtained by the first-order second moment (F.O.S.M.) uncertainty quantification technique which was state of the art in the 1980s. In order for
Dilution_of_precision
List of academic journals published by the American Society of Mechanical Engineers
ISSN 1528-8900 (web) Journal of Verification, Validation and Uncertainty Quantification J. Verif. Valid. Uncert. 2015-present ISSN 2377-2158 (print) ISSN 2377-2166
List of American Society of Mechanical Engineers academic journals
List_of_American_Society_of_Mechanical_Engineers_academic_journals
Measure of dependence between two variables
Quality Ratio (IQR) and quantifies the amount of information of a variable based on another variable against total uncertainty: I Q R ( X , Y ) = E [
Mutual_information
Method in statistics
advantage of this approach is that it provides probabilistic uncertainty quantification for the value of the integral. Let f : X → R {\displaystyle f:{\mathcal
Bayesian_quadrature
Russian mathematician (1926–2025)
on sensitivity analysis. Sobol's work is cited in textbooks of uncertainty quantification, Financial Engineering, quasi-Monte Carlo methods. His work on
Ilya_M._Sobol'
American engineer and computational scientist
MIT Schwarzman College of Computing. His research focuses on uncertainty quantification, Bayesian computation, inverse problems, data assimilation, and
Youssef_Marzouk
French financial statistician, probability theorist
and expert on financial risk assessment, risk transfer, and uncertainty quantification. She is a professor of statistics in the London School of Economics
Pauline_Barrieu
Vector space with generalized dot product
"Appendix B: Probability theory and functional spaces" (PDF). Uncertainty Quantification with Applications to Engineering Problems (PhD). Technical University
Inner_product_space
British-based mathematician
Teckentrup is a UK-based mathematician, known for her research on uncertainty quantification and numerical analysis. Her work focuses on multilevel Monte Carlo
Aretha_Teckentrup
Prediction model used in Engineering
optimization, adjoint solvers are now finding more and more use in uncertainty quantification. An adjoint solver allows one to compute the gradient of the quantity
Gradient-enhanced_kriging
Probabilistic problem-solving algorithm
A.; Nasser, R.; Sampaio, R.; Lopes, H.; Breitman, K. (2014). "Uncertainty quantification through the Monte Carlo method in a cloud computing setting".
Monte_Carlo_method
German research institute
the fields of High Performance Computing and Uncertainty Quantification in order to quantify uncertainties in large data sets towards reliable insights
Heidelberg Institute for Theoretical Studies
Heidelberg_Institute_for_Theoretical_Studies
Event that is both extremely large in effect and of unique origins
models, there is bound to be substantial uncertainty. Thus, one should be diligent in uncertainty quantification: not only considering the randomness present
Dragon_king_theory
Concept in statistics
R. (2010). "A data-driven stochastic collocation approach for uncertainty quantification in MEMS" (PDF). International Journal for Numerical Methods in
Kernel_density_estimation
Facts provided or learned about something or someone
A key measure in information theory is entropy. Entropy quantifies the amount of uncertainty involved in the value of a random variable or the outcome
Information
Evaluating whether a chosen statistical model is appropriate or not
and statistical foundations of verification, validation, and uncertainty quantification, Washington, DC: National Academies Press, pp. 52–85, doi:10.17226/13395
Statistical_model_validation
Engineering discipline
parameters induce uncertainty which should be considered in the definition of the failure threshold. Examples of uncertainty quantification can be found in:
Prognostics
Decision science practice and analytical framework
Decision making under deep uncertainty (DMDU) is a decision science practice and analytical framework that evaluates potential solutions across multiple
Decision-making under deep uncertainty
Decision-making_under_deep_uncertainty
Technique in mathematical modeling
nonlinear control systems for purposes of model order reduction, uncertainty quantification or system identification. The emgr framework is a compact open
Model_order_reduction
Mathematical method of risk analysis
approach to uncertainty quantification with application to supersonic nozzle thrust. International Journal for Uncertainty Quantification 2 (4): 363–81
Probability_bounds_analysis
Industry concept of crude oil and natural gas reserves and resources
Oil and gas reserves and resource quantification refers to the process of estimating the quantities of hydrocarbons present in subsurface accumulations
Oil and gas reserves and resource quantification
Oil_and_gas_reserves_and_resource_quantification
Concepts underlying statistical methods
methods of statistical inference, estimation, hypothesis testing, uncertainty quantification, and the interpretation of statistical conclusions. Further, a
Foundations_of_statistics
Combining of sensor data from disparate sources
Ellermann, Katrin; von der Linden, Wolfgang (2019-12-31). "Bayesian Uncertainty Quantification with Multi-Fidelity Data and Gaussian Processes for Impedance
Sensor_fusion
Theory and paradigm of statistics
of uncertainty quantification: Likelihood-based inference often provides point estimates of parameters without explicit quantification of uncertainty. While
Likelihoodist_statistics
Experiment used to study computer simulation
many purposes in mind. Some of those include: Uncertainty quantification: Characterize the uncertainty present in a computer simulation arising from unknowns
Computer_experiment
Computer approximation for real numbers
Science and Engineering (PDF). IFIP/SIAM/NIST Working Conference on Uncertainty Quantification in Scientific Computing, Boulder, CO. p. 33. Archived (PDF) from
Floating-point_arithmetic
Brendon; Kenny, Sean; Giesy, Daniel (2019). "On the quantification of aleatory and epistemic uncertainty using Sliced-Normal distributions". Systems and Control
Interval_predictor_model
Computer scientist
is known for her research in data-driven decision-making and Uncertainty quantification. Hullman graduated magna cum laude from Ohio State University
Jessica_Hullman
Machine learning and applied statistics
Garegnani, G. (2020). "Random time step probabilistic methods for uncertainty quantification in chaotic and geometric numerical integration". Stat. Comput
Probabilistic_numerics
Thermal convection power plant
simulation has been evaluated by verification, validation, and uncertainty quantification (VVUQ) of computer simulations by American Society of Mechanical
Solar_updraft_tower
Systematic approach to estimating the strengths and weaknesses of alternatives
of economic activities on the environment Uncertainty quantification – Science of characterizing uncertainties David, Rodreck; Ngulube, Patrick; Dube, Adock
Cost–benefit_analysis
Topics referred to by the same term
to: Urumqi Airlines (IATA code UQ) Ubiquinone, or coenzyme Q Uncertainty quantification Universal Queue, a concept in contact center design Université
UQ_(disambiguation)
Optimization and sampling technique
Additionally, obtaining samples from a posterior distribution permits uncertainty quantification by means of confidence intervals, a feature which is not possible
Stochastic gradient Langevin dynamics
Stochastic_gradient_Langevin_dynamics
Integration of multiple data sources to provide better information
Ellermann, Katrin; von der Linden, Wolfgang (2019-12-31). "Bayesian Uncertainty Quantification with Multi-Fidelity Data and Gaussian Processes for Impedance
Data_fusion
equations are used in wing shape optimization, fluid flow control and uncertainty quantification. For example d X t = a ( X t ) d t + b ( X t ) d W {\displaystyle
Glossary of mechanical engineering
Glossary_of_mechanical_engineering
Specialist field of computer science
sensitivity factors. Journal of Verification, Validation and Uncertainty Quantification. 4 011004, 2019 Batty, Michael (2009). "Cities as Complex Systems:
Computational_science
British chemist
the development and application of validation, verification and uncertainty quantification (VVUQ) to computer simulation codes across a wide range of domains
Peter_Coveney
For designing software used in electronics and embedded systems
multi-objective and robust optimization algorithms; data analysis, and uncertainty quantification tools. pSeven Desktop falls under the category of PIDO (Process
PSeven
American applied mathematician
random variables. Such models have been solved using methods of uncertainty quantification. Sea ice microstructure shares similarities with many natural
Kenneth_M._Golden
British physical chemist and applied mathematician
building detailed mathematical models of combustion, including uncertainty quantification for those models. She is a professor in the School of Chemical
Alison_Tomlin
Indian statistician
the theory and practice of Bayesian semiparametric methods and uncertainty quantification. Mallick is an elected fellow of American Association for the
Bani_K._Mallick
Scientific career Fields Computational mechanics Inverse problems Uncertainty quantification Institutions Carnegie Mellon University University of Texas at
Omar_Ghattas
Concept in probability
approach to uncertainty quantification with application to supersonic nozzle thrust. International Journal for Uncertainty Quantification 2: 363-381.
Probability_box
Planet with environment similar to Earth's
Earth analogs often involves reconciling several registers of uncertainty quantification. As anthropologist Vincent Ialenti's work on the epistemology
Earth_analog
Concept in probability theory
Dar; Bersi, Matthew R.; Humphrey, Jay D. (14 December 2021). "Uncertainty quantification in subject‐specific estimation of local vessel mechanical properties"
Taylor expansions for the moments of functions of random variables
Taylor_expansions_for_the_moments_of_functions_of_random_variables
Overall consistency of a measure in statistics and psychometrics
reliability and validity explained". 24 March 2022. "Uncertainty models, uncertainty quantification, and uncertainty processing in engineering". Archived from the
Reliability_(statistics)
Statistical model
Ellermann, Katrin; von der Linden, Wolfgang (2019-12-31). "Bayesian Uncertainty Quantification with Multi-Fidelity Data and Gaussian Processes for Impedance
Gaussian_process
Statistical method in hydrology
Generalized likelihood uncertainty estimation (GLUE) is a statistical method used in hydrology for quantifying the uncertainty of model predictions. The
Generalised likelihood uncertainty estimation
Generalised_likelihood_uncertainty_estimation
Computational Science and Engineering, his research focuses on uncertainty quantification, Bayesian inference, inverse problems, data assimilation, and
List_of_Egyptian_Americans
Syndromic antimicrobial susceptibility tool
(Dirichlet for pathogen incidence, Beta for susceptibility), enabling uncertainty quantification through Monte Carlo simulation and demonstrating the value of
Weighted-Incidence Syndromic Combination Antibiogram
Weighted-Incidence_Syndromic_Combination_Antibiogram
of structured expert judgment is a defensible quantification of uncertainty. Confronted with uncertainty, society at large will always harken to prophets
Structured expert judgment: the classical model
Structured_expert_judgment:_the_classical_model
(statistics) Unbiased estimation of standard deviation Uncertainty Uncertainty coefficient Uncertainty quantification Uncomfortable science Uncorrelated Underdispersion –
List_of_statistics_articles
American statistician
and the development of computationally efficient algorithms for uncertainty quantification. He is currently serving as joint Editor of the Journal of the
David_Dunson
models through the processes of verification, validation, and uncertainty quantification. ASME V&V 10.1 provides a detailed example to illustrate the concepts
Verification and validation of computer simulation models
Verification_and_validation_of_computer_simulation_models
Italian researcher (born 1953)
Components and Generalized Sobol' Indices." SIAM/ASA Journal on Uncertainty Quantification 1 (1): 19–41. Owen, Art B., Josef Dick, and Su Chen. 2014. "Higher
Andrea_Saltelli
Social and linguistic theory of politeness
negative outcome...Thus, politeness theory posits that speakers use uncertainty quantifiers to pursue informative intentions and also to sugar-coat threatening
Politeness_theory
American statistician, mathematician, and academic
temperatures over the past two millennia, including principled uncertainty quantification using Bayesian statistics. His research has also examined how
Frederi_Viens
Method for numerical integration
algorithms is on GitHub. Korali is a high-performance framework for uncertainty quantification, optimization, and deep reinforcement learning, which also implements
Nested_sampling_algorithm
Comparison of statistical analysis software
Software for Uncertainty Quantification in Simulation". In Roger Ghanem; David Higdon; Houman Owhadi (eds.). Handbook of Uncertainty Quantification. pp. 1–38
Comparison of Gaussian process software
Comparison_of_Gaussian_process_software
Ethics of quantification is the study of the ethical issues associated to different forms of visible or invisible forms of quantification. These could
Ethics_of_quantification
Formal study of linguistic meaning
Iacona, Andrea (2015). "Quantification and Logical Form". In Torza, Alessandro (ed.). Quantifiers, Quantifiers, and Quantifiers: Themes in Logic, Metaphysics
Formal semantics (natural language)
Formal_semantics_(natural_language)
Type of statistical forecasting
Mohammad Anwar; Nahavandi, Saeid (2018). "Neural Network-Based Uncertainty Quantification: A Survey of Methodologies and Applications". IEEE Access. 6:
Probabilistic_forecasting
Aerospace engineer and computational scientist
methods, with applications in optimization, control, design, and uncertainty quantification of large-scale systems". She was elected as a Fellow of the American
Karen_Willcox
Epidemiological model for COVID-19
a Python 3 library to facilitate verification, validation and uncertainty quantification (VVUQ) for a wide variety of simulations. In a recent publication
CovidSim
and uncertainty (CSAU) methodology is a systematic approach proposed by the US Nuclear Regulatory Commission that can be used to identify and quantify overall
Code scaling, applicability, and uncertainty
Code_scaling,_applicability,_and_uncertainty
Greek-American engineer, scientist, academic, and entrepreneur
He has made scientific and engineering contributions to the quantification of uncertainty in complex measurement systems, and his discoveries and innovations
Pavlos_Vlachos
Subfield of materials science
commercial application. Major current themes in the field include uncertainty quantification and propagation throughout simulations for eventual decision making
Computational materials science
Computational_materials_science
UNCERTAINTY QUANTIFICATION
UNCERTAINTY QUANTIFICATION
Girl/Female
Hindu
Certainty, Confidence
Surname or Lastname
English (Suffolk) of uncertain derivation;
English (Suffolk) of uncertain derivation; : of uncertain derivation; perhaps from a reduced form of the personal name Dominicus (see Dominick).English (Suffolk) of uncertain derivation; : alternatively, as Reaney proposes, it may be from the Breton personal name Menguy, a compound of men ‘stone’ + ki ‘dog’.
Girl/Female
Tamil
Nischita | நீஸà¯à®šà¯€à®¤à®¾
Certainty, Confidence
Nischita | நீஸà¯à®šà¯€à®¤à®¾
Surname or Lastname
English of uncertain origin.
English of uncertain origin. : of uncertain origin. Reaney and Wilson cite 13th- and 14th-century examples such as Richard Averil, which they associate with the name of the month (see April; the Old French word Avrill was taken into Middle English as Averil before being altered under Latin influence to April).English of uncertain origin. : As a North American surname, it may be a habitational name from Haverhill in Suffolk, which is probably named from Old English hafri ‘oats’ + hyll ‘hill’. The traditional English pronunciation of this place name was Have-rill. Compare Avery.English of uncertain origin. : William Averill (c.1590–1635) brought his family from Worcestershire, England, to VA in 1635.
Girl/Female
Hindu
Certainty, Confidence
Surname or Lastname
English of uncertain origin.
English of uncertain origin. : of uncertain origin. Perhaps a topographic name for someone who lived near a fig tree, or a metonymic occupational name for someone who sold figs, from Old French figue (Latin ficus).English of uncertain origin. : Reaney has it as a variant of Fitch.English of uncertain origin. : It may also be from an unidentified personal name.
Female
Egyptian
, an uncertain goddess.
Surname or Lastname
English of uncertain origin; possibly
English of uncertain origin; possibly : of uncertain origin; possibly: habitational name from an unidentified place named with Old English hwīt ‘white’ + ēg ‘island’ or (ge)hæg ‘enclosure’.English of uncertain origin; possibly : nickname for someone with unusually pale eyes, from Middle English whit ‘white’ + eye ‘eye’.
Surname or Lastname
English (Kent) of uncertain derivation
English (Kent) of uncertain derivation : of uncertain derivation: it could be a topographic name for someone living in an area planted with bushes, French bussière, or a habitational name from any of various minor places in Essex, perhaps named with this word.English (Kent) of uncertain derivation : alternatively it may be a nickname for a heavy drinker, from an agent derivative of Middle English bouse(n) ‘to drink’, ‘to booze’ (from Middle Dutch bÅ«sen) or Middle English bous, boos ‘intoxicating drink’ (from Middle Dutch bÅ«se).English (Kent) of uncertain derivation : lastly, it could be an occupational name for a stockman, from a derivative of Middle English bos(e), buse ‘stall for livestock’, ‘cowstall’, ‘manger’ (from Old English bÅs).
Female
Egyptian
, an uncertain goddess.
Surname or Lastname
English of much discussed but uncertain origin.
English of much discussed but uncertain origin. : of much discussed but uncertain origin. It may be from a medieval personal name, but if so the form is unclear.English of much discussed but uncertain origin. : Alternatively, it may be a nickname for a quarrelsome or deceitful person, from Middle English bar(r)et(t)e, bar(r)at ‘trouble’, ‘strife’, ‘deception’, ‘cheating’ (Old French barat ‘commerce’, ‘dealings’, a derivative of barater ‘to haggle’). It is possible that the original sense of barat survived unrecorded into Middle English as a word for a market trader; the Italian cognate Baratta has this sense. It could also be a nickname or metonymic occupational name from Old French barette ‘cap’, ‘bonnet’.
Female
Egyptian
, an uncertain goddess.
Female
Egyptian
, an uncertain goddess.
Female
Egyptian
, an uncertain goddess.
Female
Egyptian
, an uncertain goddess.
Girl/Female
Tamil
Nischitha | நீஸà¯à®šà¯€à®¤à®¾Â
Certainty, Confidence
Nischitha | நீஸà¯à®šà¯€à®¤à®¾Â
Male
Egyptian
, an uncertain deity.
Biblical
[uncertain derivation]; olive tree
Male
Egyptian
, an uncertain deity.
Surname or Lastname
English and Irish of uncertain origin
English and Irish of uncertain origin : of uncertain origin: perhaps from a Norman nickname for a stubborn person, from Old French tirel, used of an animal which pulls on the reins, a derivative of tirer ‘to pull’.English and Irish of uncertain origin : Woulfe suggests that it may be from the personal name Thurold, Old Norse Thorvaldr, composed of the elements þórr, name of the Norse god of thunder (see Thor) + valdr ‘rule’.
UNCERTAINTY QUANTIFICATION
UNCERTAINTY QUANTIFICATION
Girl/Female
Christian & English(British/American/Australian)
Grace
Boy/Male
Tamil
Boy/Male
Tamil
Janvijay | ஜநவிஜயÂ
Win over people
Surname or Lastname
English
English : probably a variant of London. This is a predominantly southern name in the U.S., found mainly in NC, SC, GA, and TX.
Female
Japanese
(上å) Japanese name KAMIKO means "superior child."
Boy/Male
Hindu, Indian, Punjabi, Sikh, Traditional
Exalted Way of Life
Boy/Male
Indian, Telugu
Feeling; Delicate
Boy/Male
Arabic, Bengali, Hindu, Indian, Kannada, Marathi, Muslim, Sanskrit
Name of a Star; A Token; Stars
Boy/Male
Tamil
Lord Krishna, Moon
Girl/Female
Hindu, Indian, Tamil
Ray of Sun
UNCERTAINTY QUANTIFICATION
UNCERTAINTY QUANTIFICATION
UNCERTAINTY QUANTIFICATION
UNCERTAINTY QUANTIFICATION
UNCERTAINTY QUANTIFICATION
n.
Uncertainty; doubtfulness; doubt.
n.
The quality or state of being uncertain.
n.
Uncertainty.
n.
Uncertainty of meaning; ambiguity; indefiniteness.
n.
Inexactness; uncertainty; as, geographical inexactitude.
n.
That which is uncertain; something unknown.
n.
Certainty.
a.
Uncertainty; instability.
pl.
of Uncertainty
n.
Certainty.
n.
Doubt; uncertainty.
n.
Doubt; uncertainty.
a.
To make uncertain.
n.
Doubtfulness; uncertainty; doubt.
n.
Absence of confidence; uncertainty; doubt.
adv.
In an uncertain manner.
v. i.
Uncertainty of condition.
a.
Irresolute; inconsonant; variable; untrustworthy; as, an uncertain person; an uncertain breeze.
n.
Possibility; uncertainty.
n.
Uncertainty of event or issue.