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Theory in particle physics
In particle physics, the bootstrap model, bootstrap principle or hadron boostrap is a superseded hypothesis about the composition of elementary particles
Bootstrap_model
Statistical method
result in Efron's seminal paper that introduced the bootstrap is the favorable performance of bootstrap methods using sampling with replacement compared
Bootstrapping_(statistics)
Topics referred to by the same term
and startups Bootstrap model, a class of theories in quantum physics Conformal bootstrap, a mathematical method to constrain and solve models in particle
Bootstrapping (disambiguation)
Bootstrapping_(disambiguation)
Precursor physical model to string theory and quantum chromodynamics
invariance and unitarity. Landau pole Regge trajectory Bootstrap model Pomeron Dual resonance model History of string theory Giddings, Steven B. (1999-10-04)
S-matrix_theory
German theoretical physicist
statistical model needed improvement. Seeing the experimental results, Hagedorn invented a new theoretical framework called statistical bootstrap model (SBM)
Rolf_Hagedorn
Lambda; see Sakata model), Geoffrey Chew believed that none of these particles are fundamental (for details, see Bootstrap model). Sakata's approach
History_of_string_theory
Type of machine learning model
answer in doing so. The ability to "self-instruct" makes LLMs able to bootstrap themselves toward a correct answer. An LLM can be turned into a chatbot
Large_language_model
Self-starting process that is supposed to proceed without external input
grow without external input. Many analytical techniques are often called bootstrap methods in reference to their self-starting or self-supporting implementation
Bootstrapping
Method in machine learning
Bootstrap aggregating, also called bagging (from bootstrap aggregating) or bootstrapping, is a machine learning (ML) ensemble meta-algorithm designed to
Bootstrap_aggregating
1975 book by Fritjof Capra
physics-mysticism parallels on the bootstrap model of strong-force interactions set out at the end of the book, long after the Standard Model had become thoroughly
The_Tao_of_Physics
Temperature at which the partition function of a statistical-mechanical system diverges
Hagedorn in the 1960s while working at CERN. His work on the statistical bootstrap model of hadron production showed that because increases in energy in a system
Hagedorn_temperature
Family of statistical methods based on sampling of available data
this context, the bootstrap is used to replace sequentially empirical weighted probability measures by empirical measures. The bootstrap allows to replace
Resampling_(statistics)
American physicist and author (born 1939)
Laboratory (1975–1988), Capra became a proponent of the S-matrix bootstrap theory. The bootstrap model, which posits that the universe is a self-consistent "web"
Fritjof_Capra
Acquisition of a company using a significant proportion of borrowed money
Kravis' cousin George Roberts, began a series of what they described as "bootstrap" investments. Many of the target companies lacked a viable or attractive
Leveraged_buyout
Series of projects which transformed the economy of Puerto Rico
industrial high-income territory compared to the region. Bootstrap is still considered the economic model of Puerto Rico as the island has still not been able
Operation_Bootstrap
Process by which hadrons are formed
resonances were discovered. Rolf Hagedorn postulated the statistical bootstrap model (SBM) allowing to describe hadronic interactions in terms of statistical
Hadronization
American theoretical physicist (1924–2019)
12, 2019) was an American theoretical physicist. He is known for his bootstrap theory of strong interactions. Chew worked as a professor of physics at
Geoffrey_Chew
Method of measuring prediction error
learning models utilizing bootstrap aggregating (bagging). Bagging uses subsampling with replacement to create training samples for the model to learn
Out-of-bag_error
Mathematical method to constrain and solve conformal field theories
The conformal bootstrap is a non-perturbative mathematical method to constrain and solve conformal field theories, i.e. models of particle physics or statistical
Conformal_bootstrap
German theoretical physicist
his dissertation was titled Analytical solution of the statistical bootstrap model, where he was then to 1975 as a post-doctoral student. From 1976 to
Werner_Nahm
Statistical model validation technique
Boosting (machine learning) Bootstrap aggregating (bagging) Out-of-bag error Bootstrapping (statistics) Leakage (machine learning) Model selection Purged cross-validation
Cross-validation_(statistics)
Mathematical model of ferromagnetism in statistical mechanics
Simmons-Duffin, David; Vichi, Alessandro (2014). "Solving the 3d Ising Model with the Conformal Bootstrap II. C -Minimization and Precise Critical Exponents" (PDF)
Ising_model
Process for achieving system stability
In statistical mechanics, bootstrap percolation is a percolation process in which a random initial configuration of active cells is selected from a lattice
Bootstrap_percolation
Class of statistical models
linear model (GLM) is a flexible generalization of ordinary linear regression. The GLM generalizes linear regression by allowing the linear model to be
Generalized_linear_model
Class of statistical survival models
Proportional hazards models are a class of survival models in statistics. Survival models relate the time that passes, before some event occurs, to one
Proportional_hazards_model
Mathematical model used for classification or regression
Discriminative models, also referred to as conditional models, are a class of models frequently used for classification. In machine learning, it typically models the
Discriminative_model
Model for generating observable data in probability and statistics
Generative models are a class of computational models frequently used for classification. In machine learning, it typically models the joint distribution
Generative_model
Type of mathematical model
A statistical model is a mathematical model that embodies a set of statistical assumptions concerning the generation of sample data (and similar data
Statistical_model
grades 6-12. The 4 modules are Bootstrap:Algebra, Bootstrap:Reactive, Bootstrap:Data Science, and Bootstrap:Physics. Bootstrap materials reinforce core concepts
Bootstrap_curriculum
Form of causal modeling that fit networks of constructs to data
Structural equation modeling (SEM) is a diverse set of methods used by scientists for both observational and experimental research. SEM is used mostly
Structural_equation_modeling
Probabilistic problem-solving algorithm
named their algorithm 'the bootstrap filter', and demonstrated that compared to other filtering methods, their bootstrap algorithm does not require any
Monte_Carlo_method
Probabilistic model
A graphical model or probabilistic graphical model (PGM) or structured probabilistic model is a probabilistic model for which a graph expresses the conditional
Graphical_model
Intersection of nuclear physics and high-energy physics
thermal description of multiparticle production and the statistical bootstrap model by Rolf Hagedorn. These developments led to search for and discovery
High-energy_nuclear_physics
Statistical model for a binary dependent variable
In statistics, a logistic model (or logit model) is a statistical model that models the log-odds of an event as a linear combination of one or more independent
Logistic_regression
Type of statistical model
term linear model refers to any model which assumes linearity in the system. The most common occurrence is in connection with regression models and the term
Linear_model
Time series model
econometrics, the autoregressive conditional heteroskedasticity (ARCH) model is a statistical model for time series data that describes the variance of the current
Autoregressive conditional heteroskedasticity
Autoregressive_conditional_heteroskedasticity
Tasks in machine learning
Ron (2001-03-03). "A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection". 14. {{cite journal}}: Cite journal requires
Training, validation, and test data sets
Training,_validation,_and_test_data_sets
Process of starting a computer
computer or by a software command, first described in the 1950s as the "bootstrap technique." After it is switched on, a computer's central processing unit
Booting
Task of selecting a statistical model from a set of candidate models
Model selection is the task of selecting a model from among various candidates on the basis of performance criterion to choose the best one. In the context
Model_selection
DHCP Dynamic Host Configuration Protocol DNS Domain Name System BOOTP Bootstrap Protocol HTTP Hyper Text Transfer Protocol HTTPS WebSocket NFS POP3 Post
List of network protocols (OSI model)
List_of_network_protocols_(OSI_model)
Compilation of software used to produce phylogenetic trees
von Haeseler A (May 2013). "Ultrafast approximation for phylogenetic bootstrap". Molecular Biology and Evolution. 30 (5): 1188–95. doi:10.1093/molbev/mst024
List of phylogenetics software
List_of_phylogenetics_software
ISBN 978-2-7420-0031-9. Britton, KE; Cage, PE; Carson, ER (May 1976). "A 'bootstrap' model of the renal medulla". Postgrad Med J. 52 (607): 279–284. doi:10.1136/pgmj
Kokko_and_Rector_Model
Statistical model allowing for frequent zero values
In statistics, a zero-inflated model is a statistical model based on a zero-inflated probability distribution, i.e. a distribution that allows for frequent
Zero-inflated_model
Branch of statistics
forest survival model gives more accurate predictions of survival than the Cox PH model. The prediction errors are estimated by bootstrap re-sampling. Recent
Survival_analysis
Indian businessman and investor
Times (2016) Forbes India Leadership Award (2019) Startup of the Year (Bootstrap) by Economic Times (2016) Emerging Entrepreneur Award by Confederation
Nithin_Kamath
Statistics and machine learning technique
accurate, and low-variance model to fit the task as required. Ensemble learning typically refers to bagging (bootstrap aggregating), boosting or stacking/blending
Ensemble_learning
Statistical linear model
general linear model or general multivariate regression model is a compact way of simultaneously writing several multiple linear regression models. In that
General_linear_model
Quantum field theory enjoying conformal symmetry
higher-dimensional CFT. In particular, numerical bootstrap techniques can be tested by applying them to minimal models, and comparing the results with the known
Conformal_field_theory
Measure of linear correlation
desired. The bootstrap can be used to construct confidence intervals for Pearson's correlation coefficient. In the "non-parametric" bootstrap, n pairs (xi
Pearson correlation coefficient
Pearson_correlation_coefficient
Statistical modeling method
In statistics, linear regression is a model that estimates the relationship between a scalar response (dependent variable) and one or more explanatory
Linear_regression
Statistical model to calculate the value of multiple quantities as they change over time
statistical model used to capture the relationship between multiple quantities as they change over time. VAR is a type of stochastic process model. VAR models generalize
Vector_autoregression
Estimator for quality of a statistical model
Konishi & Kitagawa (2008, ch. 7–8). In particular, with other assumptions, bootstrap estimation of the formula is often feasible. To summarize, AICc has the
Akaike_information_criterion
Parametric model in survival analysis
accelerated failure time model (AFT model) is a parametric model that provides an alternative to the commonly used proportional hazards models. Whereas a proportional
Accelerated failure time model
Accelerated_failure_time_model
Lattice model of statistical mechanics
renormalization group and the conformal bootstrap. Renormalization group methods are applicable because the critical point of the XY model is believed to be described
Classical_XY_model
Statistical method that summarizes and/or integrates data from multiple sources
the quality effects model defaults to the IVhet model – see previous section). A recent evaluation of the quality effects model (with some updates) demonstrates
Meta-analysis
Observation that the intrinsic rate of human performance is exponential
2013. Engelbart. "ABC Model for Continuous Improvement". Retrieved July 10, 2013. Nick Ragouzis. "Positioning the Bootstrap Alliance" (PDF). Archived
Engelbart's_law
Statistical technique correcting sampling bias
from an asymptotic approximation or by resampling, such as through a bootstrap. The two-step estimator discussed above is a limited information maximum
Heckman_correction
Statistical model for count data
statistics, Poisson regression is a generalized linear model form of regression analysis used to model count data and contingency tables. Poisson regression
Poisson_regression
Set of statistical processes for estimating the relationships among variables
In statistical modeling, regression analysis is a statistical method for estimating the relationship between a dependent variable (often called the outcome
Regression_analysis
Method of statistical inference
when independently confirmed. Bootstrap-based resampling methods can be used for null hypothesis testing. A bootstrap creates numerous simulated samples
Statistical_hypothesis_test
Econometric term
"Tests for Causality between Integrated Variables Using Asymptotic and Bootstrap Distributions: Theory and Application". Applied Economics. 38 (15): 1489–1500
Structural_break
Collection of statistical models
partitioning of sums of squares, experimental techniques and the additive model. Laplace was performing hypothesis testing in the 1770s. Around 1800, Laplace
Analysis_of_variance
Statistical model used in time series analysis
statistical analysis of time series, an autoregressive–moving-average (ARMA) model is used to represent a (weakly) stationary stochastic process by combining
Autoregressive moving-average model
Autoregressive_moving-average_model
Statistic measuring inter-rater agreement for categorical items
, and S E κ {\displaystyle SE_{\kappa }} is calculated by jackknife, bootstrap or the asymptotic formula described by Fleiss & Cohen. If statistical
Cohen's_kappa
Subset of artificial intelligence
Learning Models". arXiv:2204.06974 [cs.LG]. Kohavi, Ron (1995). "A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection"
Machine_learning
Model used for styling websites
is the default box model used in Bootstrap framework. Layout (computing) Etemad, Elika J., ed. (22 December 2020). "CSS Box Model Module Level 3". W3C
CSS_box_model
Type of statistics
are based on 10,000 bootstrap samples for each estimator, with some Gaussian noise added to the resampled data (smoothed bootstrap). Panel (a) shows the
Robust_statistics
Relative measure of dispersion expressed as the ratio of standard deviation to the mean
ANOVA gauge R&R,[citation needed] by economists and investors in economic models, in epidemiology, and in psychology/neuroscience. The coefficient of variation
Coefficient_of_variation
Ratio of competing statistical models
competing statistical models represented by their evidence, and is used to quantify the support for one model over the other. The models in question can have
Bayes_factor
Conformal field theory on a 2D spacetime
exactly, using the conformal bootstrap method. Notable two-dimensional conformal field theories include minimal models, Liouville theory, massless free
Two-dimensional conformal field theory
Two-dimensional_conformal_field_theory
Complete set of items that share at least one property in common
estimator Sample (statistics) Sampling (statistics) Stratum (statistics) Bootstrap world Haberman, Shelby J. (1996). "Advanced Statistics". Springer Series
Statistical_population
Type of Monte Carlo algorithms for signal processing and statistical inference
the books. These abstract probabilistic models encapsulate genetic type algorithms, particle, and bootstrap filters, interacting Kalman filters (a.k
Particle_filter
Statistical method for resampling
The jackknife pre-dates other common resampling methods such as the bootstrap. Given a sample of size n {\displaystyle n} , a jackknife estimator can
Jackknife_resampling
Statistical hypothesis test for forecasting
"Tests for causality between integrated variables using asymptotic and bootstrap distributions: Theory and application". Applied Economics. 38 (13): 1489–1500
Granger_causality
Diagnostic plot of binary classifier ability
graphical plot that illustrates the performance of a binary classifier model (although it can be generalized to multiple classes) at varying threshold
Receiver operating characteristic
Receiver_operating_characteristic
How many standard deviations apart from the mean an observed datum is
regression coefficients are affected by the other predictor variables in the model … The magnitudes of the standardized regression coefficients are affected
Standard_score
Statistical hypothesis test
two models, 1 and 2, where model 1 is 'nested' within model 2. Model 1 is the restricted model, and model 2 is the unrestricted one. That is, model 1 has
F-test
Bonnet's theorem Bonnor beam Boojum (superfluidity) Book of Optics Bootstrap model Bootstrap paradox Borda–Carnot equation Borexino Boris Aleksandrovich Mamyrin
Index_of_physics_articles_(B)
Polish theoretical physicist
beyond the Standard Model, including supersymmetry breaking, little Higgs models, effective field theory, and the conformal bootstrap. Skiba studied physics
Witold_Skiba
Concept in machine learning
Double descent in statistics and machine learning is the phenomenon where a model's error rate on the test set initially decreases with the number of parameters
Double_descent
Sub-class of survival models
In statistics, first-hitting-time models are simplified models that estimate the amount of time that passes before some random or stochastic process crosses
First-hitting-time_model
Collection of models with the same renormalization group flow limit
the conformal bootstrap, but are several orders of magnitude less accurate. The phase transition present in the two-dimensional XY model and superconductors
Universality_class
Statistics concept
want to estimate the mean of that distribution (the so-called location model). In this case, the errors are the deviations of the observations from the
Errors_and_residuals
Measure of the joint variability
producing the g factor. Another is to personality, with models like the five factor model being derived from principal component analysis. Algorithms
Covariance
Design of tasks
discussion of experimental design in the context of model building for models either static or dynamic models, also known as system identification. Laws and
Design_of_experiments
Australian-made skincare products
background in nutrition and health psychology. The company started as a bootstrap, having been self-funded by Kerr, who holds a 95% stake. In 2017, KORA
KORA_Organics
Indian physicist (born 1938)
Geoffrey Chew, known for his contributions to the fields of mesons and bootstrap model, to secure a PhD in 1962. He stayed in the US to complete his post-doctoral
Virendra_Singh_(physicist)
Measure of statistical dispersion
family Exponential family Completeness Sufficiency Statistical functional Bootstrap U V Optimal decision loss function Efficiency Statistical distance divergence
Interquartile_range
Middle quantile of a data set or probability distribution
This method may be computationally expensive for large data sets. A bootstrap estimate is known to be consistent, but converges very slowly (order of
Median
Process of using data analysis for predicting population data from sample data
trained model"; in this context inferring properties of the model is referred to as training or learning (rather than inference), and using a model for prediction
Statistical_inference
Position that there is no relationship between two phenomena
statistical model corresponding to each candidate hypothesis, and by using model selection techniques to choose the most appropriate model. (The most common
Null_hypothesis
Statistical property
it invalidates statistical tests of significance which assume that the modelling errors all have the same variance. While the ordinary least squares (OLS)
Homoscedasticity and heteroscedasticity
Homoscedasticity_and_heteroscedasticity
Statistical hypothesis test
the Pearson distribution to model the observation and performing a test of goodness of fit to determine how well the model really fits to the observations
Chi-squared_test
Data visualization
family Exponential family Completeness Sufficiency Statistical functional Bootstrap U V Optimal decision loss function Efficiency Statistical distance divergence
Box_plot
Criterion for model selection
criterion (also SIC, SBC, SBIC) is a criterion for model selection among a finite set of models; models with lower BIC are generally preferred. It is based
Bayesian information criterion
Bayesian_information_criterion
Statistical property
sampling conditions, see CLT. If these conditions are not met, then using a Bootstrap distribution to estimate the Standard Error is often a good workaround
Standard_error
American statistician
many awards (see below). Efron is especially known for proposing the bootstrap resampling technique, which has had a major impact in the field of statistics
Bradley_Efron
Class of statistical tests
statistics, normality tests are used to determine if a data set is well-modeled by a normal distribution and to compute how likely it is for a random variable
Normality_test
Statistical methods to build mathematical models of dynamical systems from measured data
experiments for efficiently generating informative data for fitting such models as well as model reduction. A common approach is to start from measurements of the
System_identification
Eugene Stanley as a generalization of the Ising model, XY model and Heisenberg model. In the n-vector model, n-component unit-length classical spins s i
N-vector_model
BOOTSTRAP MODEL
BOOTSTRAP MODEL
Girl/Female
Czech, Czechoslovakian, Danish, Finnish, German, Hebrew, Irish, Jewish, Polish
Friend; Beautiful; Model of Righteous Convert; Friendship
Boy/Male
Muslim
Sample, Model, Paragon
Surname or Lastname
English and Irish (of Norman origin), and northern French
English and Irish (of Norman origin), and northern French : habitational name from any of several places in northern France, such as Nogent-sur-Oise, named with Latin Novientum, apparently an altered form of a Gaulish name meaning ‘new settlement’.The Anglo-Norman family of this name is descended from Fulke de Bellesme, lord of Nogent in Normandy, who was granted large estates around Winchester after the Conquest. His great-grandson was Hugh de Nugent (died 1213), who went to Ireland with Hugh de Lacy, and was granted lands in Bracklyn, County Westmeath. The family formed itself into a clan on the Irish model, of which the chief bore the hereditary title of Uinsheadun (Irish Uinnseadún), from their original seat at Winchester. They have been Earls of Westmeath since 1621. The name is now a common one in Ireland, and has been adopted there by some who have no connection with the clan.
Surname or Lastname
English and Dutch
English and Dutch : from the medieval personal name Benedict (Latin Benedictus meaning ‘blessed’). This owed its popularity in the Middle Ages chiefly to St. Benedict of Norcia (c.480–550), who founded the Benedictine order of monks at Monte Cassino and wrote a monastic rule that formed a model for all subsequent rules. No doubt the meaning of the Latin word also contributed to its popularity as a personal name, especially in Romance countries.
Boy/Male
Tamil
Ayilyam | அயீலà¯à®¯à®®
Model state of india
Ayilyam | அயீலà¯à®¯à®®
Girl/Female
Hindu, Indian, Traditional
Model; Idea
Boy/Male
Egyptian
To model.
Male
Japanese
(æ£å‰‡) Japanese name MASANORI means "model of justice."
Surname or Lastname
German
German : habitational name from any of several places so named, for example in Westphalia and Switzerland.German : nickname from Middle High German heiden ‘heathen’, Old High German heidano, apparently a derivative of heida ‘heath’, modeled on Latin paganus (see Pain 1). The nickname was sometimes used to refer to a Christian knight who had been on a Crusade to fight in the Holy Land.Jewish (Ashkenazic) : of uncertain origin; possibly a shortened form of any of various ornamental names formed with German Heide- ‘heath’, for example Heidenberg, Heidenkorn, Heidenkrug, Heidenwurzel.English : variant spelling of Hayden.Dutch : shortened form of vanderHeiden.
Boy/Male
Arabic, Muslim
Model; Example
Boy/Male
Muslim
Model, Example
Surname or Lastname
English and Scottish
English and Scottish : occupational name for a stonemason, Middle English, Old French mas(s)on. Compare Machen. Stonemasonry was a hugely important craft in the Middle Ages.Italian (Veneto) : from a short form of Masone.French : from a regional variant of maison ‘house’.George Mason (1725–92), the American colonial statesman who framed the VA Bill of Rights and Constitution, which was used as a model by Thomas Jefferson when drafting the Declaration of Independence, was a VA planter, fourth in descent from George Mason (?1629–?86), a royalist soldier of the English Civil War who had received land grants in VA. As well as being prominent in the affairs of VA, the family also produced the first governor of MI.
Female
Japanese
(1-儀, 2-典, 3-則, 4-法) Japanese unisex name NORI means 1) "ceremony, regalia," 2) "code, precedent," 3) "model, rule, standard," 4) "law, rule."
Boy/Male
Arabic, Muslim
Sample; Model; Paragon
Girl/Female
Arabic, Muslim
Example; Model; Demo
Boy/Male
Celebrity, Gujarati, Hindu, Indian, Kannada, Malayalam, Marathi, Punjabi, Sanskrit, Sikh, Tamil, Telugu, Traditional
New; Role Model of World; Ever Fresh
Surname or Lastname
English and French
English and French : nickname for a tall person, from Old English lang, long, Old French long ‘long’, ‘tall’ (equivalent to Latin longus).Irish (Ulster (Armagh) and Munster) : reduced Anglicized form of Gaelic Ó Longáin (see Langan).Chinese : from the name of an official treasurer called Long, who lived during the reign of the model emperor Shun (2257–2205 bc). his descendants adopted this name as their surname. Additionally, a branch of the Liu clan (see Lau 1), descendants of Liu Lei, who supposedly had the ability to handle dragons, was granted the name Yu-Long (meaning roughly ‘resistor of dragons’) by the Xia emperor Kong Jia (1879–1849 bc). Some descendants later simplified Yu-Long to Long and adopted it as their surname.Chinese : there are two sources for this name. One was a place in the state of Lu in Shandong province during the Spring and Autumn period (722–481 bc). The other source is the Xiongnu nationality, a non-Han Chinese people.Chinese : variant of Lang.Cambodian : unexplained.
Boy/Male
Hindu
Model state of india
Boy/Male
Arabic, Muslim
Pioneers; Explorers; Guides; Leaders; Models
Girl/Female
Christian & English(British/American/Australian)
Model or Pattern
BOOTSTRAP MODEL
BOOTSTRAP MODEL
Girl/Female
American, British, English, Indian, Tamil
Life; Lakeisha and Its Variants are Rhyming Forms of Leticia; Joyful; Happy
Boy/Male
Arabic, Australian, Indian
Lord of Wind
Boy/Male
Tamil
Pradhyot | பà¯à®°à®¤à¯à®¯à¯‹à®¤
Ray of light, Luster
Female
Slavic
Feminine form of Slavic Vladimir, VLADIMIRA means "peaceful ruler." In use by the Croatians.
Boy/Male
Hindu, Indian
To Succeed; Name of God of Love
Male
English
Variant spelling of English Braden, BRAEDEN means "salmon."
Female
Egyptian
, sewer of Amen.
Girl/Female
American, Australian, British, Christian, Danish, English, Hebrew
Palm Tree; Twin; Abbreviation of Thomasina; Twin and Tamara; Tamara
Girl/Female
Hindu, Indian, Tamil
Brightness
Female
Egyptian
, good and beautiful companion.
BOOTSTRAP MODEL
BOOTSTRAP MODEL
BOOTSTRAP MODEL
BOOTSTRAP MODEL
BOOTSTRAP MODEL
n.
One who models; hence, a worker in plastic art.
v. t.
To model.
imp. & p. p.
of Model
n.
A model; a pattern; a mold.
v. t.
To plan or form after a pattern; to form in model; to form a model or pattern for; to shape; to mold; to fashion; as, to model a house or a government; to model an edifice according to the plan delineated.
n.
Something intended to serve, or that may serve, as a pattern of something to be made; a material representation or embodiment of an ideal; sometimes, a drawing; a plan; as, the clay model of a sculpture; the inventor's model of a machine.
v. t.
To represent by a type, model, or symbol beforehand; to prefigure.
v. t.
To represent by an image, form, model, or resemblance.
p. pr. & vb. n.
of Model
n.
The act or art of making a model from which a work of art is to be executed; the formation of a work of art from some plastic material. Also, in painting, drawing, etc., the expression or indication of solid form.
n.
Relative dimensions, without difference in proportion of parts; size or degree of the parts or components in any complex thing, compared with other like things; especially, the relative proportion of the linear dimensions of the parts of a drawing, map, model, etc., to the dimensions of the corresponding parts of the object that is represented; as, a map on a scale of an inch to a mile.
n.
Anything which serves, or may serve, as an example for imitation; as, a government formed on the model of the American constitution; a model of eloquence, virtue, or behavior.
n.
A rude model; the rudimentary, unfinished form of a thing.
a.
Suitable to be taken as a model or pattern; as, a model house; a model husband.
n.
Carved work modeled of, or cut upon, wood, stone, metal, etc.
v. i.
To make a copy or a pattern; to design or imitate forms; as, to model in wax.
a.
Of the nature of a type; representing something by a form, model, or resemblance; emblematic; prefigurative.