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Statistical method
Factor analysis is a statistical method used to describe variability among observed, correlated variables in terms of a potentially lower number of unobserved
Factor_analysis
Method of data analysis
algebra, factor analysis (for a discussion of the differences between PCA and factor analysis see Ch. 7 of Jolliffe's Principal Component Analysis), Eckart–Young
Principal_component_analysis
Statistical method in psychology
In multivariate statistics, exploratory factor analysis (EFA) is a statistical method used to uncover the underlying structure of a relatively large set
Exploratory_factor_analysis
Collection of statistical models
suitable for ANOVA analysis is the completely randomized experiment with a single factor. More complex experiments with a single factor involve constraints
Analysis_of_variance
Method used in statistics, pattern recognition, and other fields
method. LDA is also closely related to principal component analysis (PCA) and factor analysis in that they both look for linear combinations of variables
Linear_discriminant_analysis
Form of statistical factor analysis
In statistics, confirmatory factor analysis (CFA) is a special form of factor analysis, most commonly used in social science research. It is used to test
Confirmatory_factor_analysis
Personality model consisting of five broad dimensions
and later added a 36th factor in the form of an IQ measure. Through factor analysis from 1945 to 1948, he created 11 or 12 factor solutions. In 1947, German-British
Big_Five_personality_traits
Point factor analysis (PFA) is a systemic bureaucratic method for determining a relative score for a job. Jobs can then be banded into grades, and the
Point_factor_analysis
Method of identifying the fundamental causes of faults or problems
Factor analysis – Statistical method Failure mode and effects analysis – Analysis of potential system failures Fault tree analysis – Failure analysis
Root-cause_analysis
Process of understanding a complex topic or substance
several variables, such as by factor analysis, regression analysis, or principal component analysis Principal component analysis – transformation of a sample
Analysis
General and special components
developed his two-factor theory of intelligence using factor analysis. His research not only led him to develop the concept of the g factor of general intelligence
Two-factor theory of intelligence
Two-factor_theory_of_intelligence
Comparison of various scales
Research & Education Association. ISBN 978-0-87891-982-6. "Dimensional Analysis or the Factor Label Method". Mr Kent's Chemistry Page. "Identity property of multiplication"
Conversion_of_units
Use of statistics in psychology
modeling psychological data. These methods include psychometrics, factor analysis, experimental designs, and Bayesian statistics. The article also discusses
Psychological_statistics
Self-report personality test
several techniques including the new statistical technique of common factor analysis applied to the English-language trait lexicon to elucidate the major
16PF_Questionnaire
Factorial method
Multiple factor analysis (MFA) is a factorial method devoted to the study of tables in which a group of individuals is described by a set of variables
Multiple_factor_analysis
Statistical model for asset pricing in finance
Memorial Prize in Economic Sciences for his empirical analysis of asset prices. The three factors are: Market excess return, Outperformance of small versus
Fama–French three-factor model
Fama–French_three-factor_model
Psychometric factor also known as "general intelligence"
in all psychology". Using factor analysis or related statistical methods, it is possible to identify a single common factor that can be regarded as a
G_factor_(psychometrics)
Analytic method in statistics
In statistics, factor analysis of mixed data or factorial analysis of mixed data (FAMD, in the French original: AFDM or Analyse Factorielle de Données
Factor_analysis_of_mixed_data
Peak divided by the Root mean square (RMS) of the waveform
crest factor" Telecommunications Measurements, Analysis, and Instrumentation, Kamilo Feher, section 7.2.3 Finite Crest Factor Noise "Crest Factor Reduction
Crest_factor
Technique used in brand marketing and product management
as follows; factor 1 rating x factor 1 magnitude + factor 2 rating x factor 2 magnitude + ..... factor n rating x factor n magnitude. SBU's in the matrix
GE_multifactorial_analysis
Ratio of competing statistical models
fact that a Bayes factor can produce evidence for and not just against a null hypothesis is one of the key advantages of this analysis method. Harold Jeffreys
Bayes_factor
Simultaneous observation and analysis of more than one outcome variable
ordered so that they summarize decreasing proportions of the variation. Factor analysis is similar to PCA but allows the user to extract a specified number
Multivariate_statistics
Risk management framework
Factor analysis of information risk (FAIR) is a taxonomy of the factors that contribute to risk and how they affect each other. It is primarily concerned
Factor analysis of information risk
Factor_analysis_of_information_risk
Theory and technique of psychological measurement
both made important contributions to the theory and application of factor analysis, a statistical method developed and used extensively in psychometrics
Psychometrics
Statistical method
components to keep in a principal component analysis or factors to keep in an exploratory factor analysis. It is named after psychologist John L. Horn
Parallel_analysis
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
Diagnostic plot of binary classifier ability
can be generalized to multiple classes) at varying threshold values. ROC analysis is commonly applied in the assessment of diagnostic test performance in
Receiver operating characteristic
Receiver_operating_characteristic
Statistical model relating manifest and latent variables
theory. Mixture models are central to latent profile analysis. In factor analysis and latent trait analysis the latent variables are treated as continuous normally
Latent_variable_model
Statistical term
to any form of multiple regression analysis, factor analysis, canonical correlation analysis, discriminant analysis, as well as more general families of
Path_analysis_(statistics)
Grouping a set of objects by similarity
ISSN 0096-851X. Tryon, Robert C. (1939). Cluster Analysis: Correlation Profile and Orthometric (factor) Analysis for the Isolation of Unities in Mind and Personality
Cluster_analysis
Data analysis technique
describe the central oppositions in the data. As in factor analysis or principal component analysis, the first axis is the most important dimension, the
Multiple correspondence analysis
Multiple_correspondence_analysis
Sequence of data points over time
science and engineering that involve temporal measurements. Time series analysis comprises methods for analyzing time series data in order to extract meaningful
Time_series
Method of statistical inference
not appear anywhere in the symbol, unlike for all the other factors) and hence does not factor into determining the relative probabilities of different hypotheses
Bayesian_inference
Statistical measure of variability
}}=k\cdot \operatorname {MAD} ,} where k {\displaystyle k} is a constant scale factor, which depends on the distribution. For normally distributed data k {\displaystyle
Median_absolute_deviation
Branch of statistics
reliability analysis or reliability engineering in engineering, duration analysis or duration modelling in economics, and event history analysis in sociology
Survival_analysis
Way of inferring information from cross-covariance matrices
In statistics, canonical-correlation analysis (CCA), also called canonical variates analysis, is a way of inferring information from cross-covariance
Canonical_correlation
Experimental design in statistics
experiment) investigates how multiple factors influence a specific outcome, called the response variable. Each factor is tested at distinct values, or levels
Factorial_experiment
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 for
Covariance
Design of tasks
one-factor-at-a-time method. These are efficient at evaluating the effects and possible interactions of several factors (independent variables). Analysis
Design_of_experiments
Pseudoscientific personality questionnaire
David R. (September 1990). "Confirmatory Factor Analysis of the Myers-Briggs Type Indicator-Expanded Analysis Report". Educational and Psychological Measurement
Myers–Briggs_Type_Indicator
Statistical relationship
health, or does good health lead to good mood, or both? Or does some other factor underlie both? In other words, a correlation can be taken as evidence for
Correlation
Business planning and analysis technique
identify internal and external factors that are favorable and unfavorable to achieving goals. Users of a SWOT analysis ask questions to generate answers
SWOT_analysis
Method to identify causes of accidents and analysis to plan preventive training
The Human Factors Analysis and Classification System (HFACS) identifies the human causes of an accident and offers tools for analysis as a way to plan
Human Factors Analysis and Classification System
Human_Factors_Analysis_and_Classification_System
Approximation method in statistics
In regression analysis, least squares is a method to determine the best-fit model by minimizing the sum of the squared residuals—the differences between
Least_squares
Bias in causal inference
and effect of confounding factors can be obtained by increasing the types and numbers of comparisons performed in an analysis. If measures or manipulations
Confounding
Statistical hypothesis test
unpaired tests when the paired units are similar with respect to "noise factors" (see confounder) that are independent of membership in the two groups
Student's_t-test
Term in statistical hypothesis testing
power analysis should always be performed to confirm and refine this estimate. Statistical power may depend on a number of factors. Some factors may be
Power_(statistics)
Unit of information
collected using techniques such as measurement, observation, query, or analysis, and is typically represented as numbers or characters that may be further
Data
Concept in statistics
those coordinates. The sub-space found with principal component analysis or factor analysis is expressed as a dense basis with many non-zero weights which
Varimax_rotation
Overview of and topical guide to machine learning
correlation analysis (CCA) Factor analysis Feature extraction Feature selection Independent component analysis (ICA) Linear discriminant analysis (LDA) Multidimensional
Outline_of_machine_learning
Statistical model for a binary dependent variable
linear combination of one or more independent variables. In regression analysis, logistic regression (or logit regression) estimates the parameters of
Logistic_regression
English psychologist (1863–1945)
English psychologist known for work in statistics, as a pioneer of factor analysis, and for Spearman's rank correlation coefficient. He also did seminal
Charles_Spearman
Concept in statistical analysis
Bivariate analysis is one of the simplest forms of quantitative (statistical) analysis. It involves the analysis of two variables (often denoted as X, Y)
Bivariate_analysis
Measure of linear correlation
stratified analysis is one way to either accommodate a lack of bivariate normality, or to isolate the correlation resulting from one factor while controlling
Pearson correlation coefficient
Pearson_correlation_coefficient
Method of statistical analysis
multiple factor analysis (MFA), or the STATIS method. The method was first published by J. C. Gower in 1975. Generalized Procrustes analysis estimates
Generalized Procrustes analysis
Generalized_Procrustes_analysis
Statistical measure to determine how suited data is for factor analysis
test is a statistical measure to determine how suited data is for factor analysis. The test measures sampling adequacy for each variable in the model
Kaiser–Meyer–Olkin_test
British-American psychologist (1905–1998)
the results of Cattell's application of factor analysis was his discovery of 16 separate primary trait factors within the normal personality sphere (based
Raymond_Cattell
Statistical methods to improve the quality of manufactured goods
Fisher's design of experiments and analysis of variance, experiments aim to reduce the influence of nuisance factors to allow comparisons of the mean treatment-effects
Taguchi_methods
How many standard deviations apart from the mean an observed datum is
some multivariate techniques such as multidimensional scaling and cluster analysis, the concept of distance between the units in the data is often of considerable
Standard_score
Statistical property
population mean, due to the factor 1 / n {\displaystyle 1/{\sqrt {n}}} , reducing the error on the estimate by a factor of two requires acquiring four
Standard_error
Form of causal modeling that fit networks of constructs to data
latent factors from factor analysis) within path-analysis-style equations (which sociologists inherited from Sewall Wright and Otis Duncan). The factor-structured
Structural_equation_modeling
Statistical method that summarizes and/or integrates data from multiple sources
Meta-analysis is a method of synthesis of quantitative data from multiple independent studies addressing a common research question. An important part
Meta-analysis
General linear model that blends ANOVA and regression
up to three treatment factors, including randomized block, split plot, repeated measures, and Latin squares, and their analysis in R (University of Southampton)
Analysis_of_covariance
Topics referred to by the same term
Look up Factor or factor in Wiktionary, the free dictionary. Factor (Latin, 'who/which acts') may refer to: Factor (agent), a person who acts for, notably
Factor
Generates a forecast of future values of a time series
the user, such as seasonality. Exponential smoothing is often used for analysis of time-series data. Exponential smoothing is one of many window functions
Exponential_smoothing
Selection of data points in statistics
in the list. If periodicity is present and the period is a multiple or factor of the interval used, the sample is especially likely to be unrepresentative
Sampling_(statistics)
Structure of the Big Five model of personality
Within personality psychology, it has become common practice to use factor analysis to derive personality traits. The Big Five model proposes that there
Hierarchical structure of the Big Five
Hierarchical_structure_of_the_Big_Five
Process of using data analysis for predicting population data from sample data
process of using data analysis to infer properties of an underlying probability distribution. Inferential statistical analysis infers properties of a
Statistical_inference
Statistical test that compares goodness of fit
Prediction Markets: Martingale Approach, Likelihood Ratio and Bayes Factor Analysis". Risks. 9 (2): 31. doi:10.3390/risks9020031. hdl:10419/258120. Solomon
Likelihood-ratio_test
Scientific procedure performed to validate a hypothesis
particular factor is manipulated. Experiments vary greatly in goal and scale but always rely on repeatable procedure and logical analysis of the results
Experiment
Method of designing experiments
The one-factor-at-a-time method, also known as one-variable-at-a-time, OFAT, OF@T, OFaaT, OVAT, OV@T, OVaaT, or monothetic analysis is a method of designing
One-factor-at-a-time_method
Non-parametric statistic used to estimate the survival function
Frans (2014). "Statistical Packages for Multistate Life History Analysis". Multistate Analysis of Life Histories with R. Use R!. Springer. pp. 135–153. doi:10
Kaplan–Meier_estimator
Function for integral Fourier-like transform
} The mother wavelet is scaled (or dilated) by a factor of a and translated (or shifted) by a factor of b to give (under Morlet's original formulation):
Wavelet
Statistical method for investigating the dominant modes of variation of functional data
analyzed and the Karhunen-Loève decomposition reduces the analysis to the interpretation of the factor functions and the distribution of scalar random variables
Functional principal component analysis
Functional_principal_component_analysis
Deficiency in understanding, processing, or describing emotions
Boyes M, Chen W, et al. (December 2020). "What is alexithymia? Using factor analysis to establish its latent structure and relationship with fantasizing
Alexithymia
Function related to statistics and probability theory
Prediction Markets: Martingale Approach, Likelihood Ratio and Bayes Factor Analysis". Risks. 9 (2): 31. doi:10.3390/risks9020031. hdl:10419/258120. Lindsey
Likelihood_function
Visual analogy for political or ideological positions
interpretation of Ferguson's three factors, as factor analysis will output an abstract factor whether an objectively real factor exists or not. Although replication
Political_spectrum
Study of collection and analysis of data
statistical tests and procedures are: Analysis of variance (ANOVA) Chi-squared test Correlation Factor analysis Mann–Whitney U Mean square weighted deviation
Statistics
Design of experiments to collect similar contexts together
of the nuisance factor. The analysis of the experiment will focus on the effect of varying levels of the primary factor within each block of the experiment
Blocking_(statistics)
Type of mathematical model
" Common criteria for comparing models include the following: R2, Bayes factor, Akaike information criterion, and the likelihood-ratio test together with
Statistical_model
F-test of equality of variances F1 score Facet theory Factor analysis Factor regression model Factor graph Factorial code Factorial experiment Factorial
List_of_statistics_articles
Concept in inferential statistics
use alternative measures of evidence, such as likelihood ratios or Bayes factors. Using Bayesian statistics can avoid confidence levels, but also requires
Statistical_significance
Type of statistics
they can be quite involved to calculate. Gelman et al. in Bayesian Data Analysis (2004) consider a data set relating to speed-of-light measurements made
Robust_statistics
Decomposition in multilinear algebra
multiway data analysis. John Wiley & Sons. PARAFAC Tutorial Parallel Factor Analysis (PARAFAC) FactoMineR (free exploratory multivariate data analysis software
Tensor_rank_decomposition
Statistical analysis where the sample size is not fixed in advance
In statistics, sequential analysis or sequential hypothesis testing is statistical analysis where the sample size is not fixed in advance. Instead data
Sequential_analysis
Offensive personality types
as mental toughness and being more likely to embrace challenges. A factor analysis found that among the big five personality traits, low agreeableness
Dark_triad
Test of normality in frequentist statistics
probability plot Shapiro–Francia test Shapiro, S. S.; Wilk, M. B. (1965). "An analysis of variance test for normality (complete samples)". Biometrika. 52 (3–4):
Shapiro–Wilk_test
Non-parametric method for testing whether samples originate from the same distribution
groups. The parametric equivalent of the Kruskal–Wallis test is the one-way analysis of variance (ANOVA). A significant Kruskal–Wallis test indicates that at
Kruskal–Wallis_test
Techniques to study geometric data
information in order to extract the main trends. Multivariable analysis (or Factor analysis, FA) allows a change of variables, transforming the many variables
Spatial_analysis
Statistical modeling method
other socio-economic factors. However, it is never possible to include all possible confounding variables in an empirical analysis. For example, a hypothetical
Linear_regression
Topics referred to by the same term
exposure to specific factors or components in Factor Analysis or Principal Component Analysis Add-on factor - sometimes called load factor This disambiguation
Load_factor
American political scientist (1932–2014)
are available online on his website. Rummel also authored Applied Factor Analysis (1970) and Understanding Correlation (1976). Rummel was born in 1932
R._J._Rummel
Method of statistical inference
order to determine whether outcomes are independent of a given categorical factor. Here the null hypothesis is by default that two things are unrelated (e
Statistical_hypothesis_test
Criterion for model selection
Spectral Analysis and Time Series. Academic Press. ISBN 978-0-12-564922-3. (p. 375). Kass, Robert E.; Raftery, Adrian E. (1995), "Bayes Factors", Journal
Bayesian information criterion
Bayesian_information_criterion
Dysfunction in one's ability to comprehend and respond to multiple sensory stimuli
from factor analysis of the earliest test the SCISIT and Mulligan's 1998 "Patterns of Sensory Integration Dysfunctions: A Confirmatory Factor Analysis".
Sensory_processing_disorder
Series of questions for gathering information
time), content validity, construct validity, and criterion validity. Factor analysis is used in the scale development process. Questionnaires used to collect
Questionnaire
Social science research method
comparisons). The name "Q" comes from the form of factor analysis that is used to analyze the data. Normal factor analysis, called "R method," involves finding correlations
Q_methodology
Signal processing computational method
ICA aLgorithm (RADICAL).) [1] Mathematics portal Blind deconvolution Factor analysis Hilbert spectrum Image processing Non-negative matrix factorization
Independent component analysis
Independent_component_analysis
Diagnostic plot in multivariate statistics
factors or principal components in an analysis. The scree plot is used to determine the number of factors to retain in an exploratory factor analysis
Scree_plot
Psychopathy scale
factors (1.a, 1.b, and 2.a), which summarize the 20 assessed areas via factor analysis. The previous edition of the PCL-R listed two factors. Factor 1
Psychopathy_Checklist
FACTOR ANALYSIS
FACTOR ANALYSIS
Male
Arthurian
, sir Hector de Maris; (defender).
Male
Greek
(ÎαχώÏ) Greek form of Hebrew Nachowr, NACHOR means "snoring" or "snorting." In the bible, this is the name of the son of Terah and brother of Abraham.
Surname or Lastname
English (chiefly Northamptonshire)
English (chiefly Northamptonshire) : probably from the obsolete slang term facer, denoting a braggart or bully. The earliest citation for this term in OED is c. 1515.Americanized spelling of German Feeser.
Surname or Lastname
English, Portuguese, Galician, Spanish, Catalan, and French
English, Portuguese, Galician, Spanish, Catalan, and French : occupational name for a shepherd, Anglo-Norman French pastre (oblique case pastour), Portuguese, Galician, Spanish, Catalan, pastor ‘shepherd’, from Latin pastor, an agent derivative of pascere ‘to graze’. The religious sense of a spiritual leader was rare in the Middle Ages, and insofar as it occurs at all it seems always to be a conscious metaphor; it is unlikely, therefore, that this sense lies behind any examples of the surname.German and Dutch : humanistic name, a Latinized form of various vernacular names meaning ‘shepherd’, for example Hirt or Schäfer (see Schafer).Americanized spelling of Hungarian Pásztor, an occupational name from pásztor ‘shepherd’.
Surname or Lastname
English
English : habitational name from places called Caistor, in Lincolnshire and Norfolk, Caister in Norfolk, or Castor in Cambridgeshire, all named with Old English cæster ‘Roman fort or town’.
Male
Spanish
Spanish name derived from Latin Pastor, PASTOR means "shepherd." St. Pastor was a 9-year-old boy who along with his 13-year-old brother, Justus, was martyred at Alcalá de Henares in the early 4th century.
Male
French
 French and German name derived from Occitan astor, ASTOR means "goshawk," itself from Latin acceptor, a variant of accipiter, meaning "hawk." It was originally a derogatory term for men with hawk-like, predatory characteristics.
Male
English
Roman Latin name VICTOR means "conqueror."Â
Boy/Male
Latin
Son of Azeus.
Surname or Lastname
English
English : habitational name from any of several places, especially in Shropshire and adjacent counties, named Acton. Generally, these are from Old English Äc ‘oak’ + tÅ«n ‘settlement’.
Male
Spanish
Spanish form of Latin Hector, H�CTOR means "defend; hold fast."
Surname or Lastname
French and Italian
French and Italian : occupational name from French, northern Italian sartor ‘tailor’ (Latin sartor).English : topographic name denoting someone who lived on land which had been cleared for cultivation, Old French assart, essart ‘woodland cleared for cultivation’ + the habitational suffix -er.
Male
Greek
(ΚάστωÏ) Greek name KASTOR means "beaver." In mythology, Castor/Kastor and Pollux/Polydeukes ("very sweet") are the twin sons of Leda and are known as the Gemini twins.
Surname or Lastname
Scottish
Scottish : Anglicized form of the Gaelic personal name Eachann (earlier Eachdonn, already confused with Norse Haakon), composed of the elements each ‘horse’ + donn ‘brown’.English : found in Yorkshire and Scotland, where it may derive directly from the medieval personal name. According to medieval legend, Britain derived its name from being founded by Brutus, a Trojan exile, and Hector was occasionally chosen as a personal name, as it was the name of the Trojan king’s eldest son. The classical Greek name, HektÅr, is probably an agent derivative of Greek ekhein ‘to hold back’, ‘hold in check’, hence ‘protector of the city’.German, French, and Dutch : from the personal name (see 2 above). In medieval Germany, this was a fairly popular personal name among the nobility, derived from classical literature. It is a comparatively rare surname in France.
Male
English
English surname transferred to forename use, ACTON means "oak tree settlement."Â
Male
English
 Anglicized form of Scottish Gaelic Eachann, HECTOR means "brown horse." Compare with another form of Hector.
Surname or Lastname
Southern French and German
Southern French and German : from Occitan astor ‘goshawk’ (from Latin acceptor, variant of accipiter ‘hawk’), used as a nickname characterizing a predacious or otherwise hawklike man. The name was taken to southwestern Germany by 17th-century Waldensian refugees from their Alpine valleys above Italian Piedmont.English : variant spelling of Aster.Astor is the name of a famous American family of industrialists and newspaper owners. John Jacob Astor I (1763–1848) was born at Walldorf near Heidelberg, Germany, the son of a butcher. He followed his brother Henry to New York and made a fortune in the fur trade, which was greatly increased by his descendants in industry, hotels, and newspapers. They built the Waldorf-Astoria Hotel in New York. The great-grandson of John Jacob I, William Waldorf Astor (1848–1919), moved to England in 1890, becoming an influential newspaper proprietor and taking British citizenship in 1899. In 1917 he was created Viscount Astor of Hever. His son, the 2nd Viscount (1879–1952), married Nancy Shaw (née Langhorne) (1879–1964), daughter of a VA planter. She became the first woman to sit in the British House of Commons as a member of Parliament.
Male
Icelandic
Perhaps a modern form of Icelandic Fylkir, FALKOR means "people, tribe."Â
Boy/Male
English American
Doctor; teacher.
Male
Spanish
Spanish form of Roman Latin Victor, VÃCTOR means "conqueror."
FACTOR ANALYSIS
FACTOR ANALYSIS
Boy/Male
Armenian
Name of a fifth century philosopher.
Girl/Female
Tamil
Unconquerable, God
Girl/Female
Greek
Pure.
Girl/Female
Hindu, Indian, Kannada, Sanskrit, Telugu
Green; Name of a Goddess
Biblical
astonishment; stupidity
Girl/Female
Hindu, Indian
Jewel
Boy/Male
Hindu
Girl/Female
Hindu, Indian
Gold Coin; Money
Boy/Male
English American
From Wine's town; from a friend's town. Famous Bearer: Sir Winston Churchill (1874-1965), World...
Girl/Female
Tamil
Nivashni | நீவாஷநீ
Diamonds
FACTOR ANALYSIS
FACTOR ANALYSIS
FACTOR ANALYSIS
FACTOR ANALYSIS
FACTOR ANALYSIS
n.
Same as Fetor.
adv.
In fact; by the act or fact.
v. t.
To resolve (a quantity) into its factors.
n.
The body of factors in any place; as, a chaplain to a British factory.
n.
A house or place where factors, or commercial agents, reside, to transact business for their employers.
n.
A contrivance for removing superfluous ink or coloring matter from a roller. See Doctor, 4.
n.
See Faitour.
v. i.
Hesitation; trembling; feebleness; an uncertain or broken sound; as, a slight falter in her voice.
n.
A building, or collection of buildings, appropriated to the manufacture of goods; the place where workmen are employed in fabricating goods, wares, or utensils; a manufactory; as, a cotton factory.
n.
One who transacts business for another; an agent; a substitute; especially, a mercantile agent who buys and sells goods and transacts business for others in commission; a commission merchant or consignee. He may be a home factor or a foreign factor. He may buy and sell in his own name, and he is intrusted with the possession and control of the goods; and in these respects he differs from a broker.
n.
Same as Radius vector.
imp. & p. p.
of Factor
pl.
of Factum
p. pr. & vb. n.
of Factor
v. t.
To tamper with and arrange for one's own purposes; to falsify; to adulterate; as, to doctor election returns; to doctor whisky.
n.
Any mechanical contrivance intended to remedy a difficulty or serve some purpose in an exigency; as, the doctor of a calico-printing machine, which is a knife to remove superfluous coloring matter; the doctor, or auxiliary engine, called also donkey engine.
n.
A doer or actor; particularly, an evil doer; a scoundrel.
v. t.
To confer a doctorate upon; to make a doctor.
n.
One of the elements, circumstances, or influences which contribute to produce a result; a constituent.