Faster access than browser!
66 relations: Admissible decision rule, Analysis of variance, Artificial neural network, Bayesian inference, Bayesian multivariate linear regression, Bias of an estimator, Canonical correlation, Canonical correspondence analysis, Cluster analysis, Correspondence analysis, Covariance mapping, Estimation of covariance matrices, EViews, Factor analysis, General linear model, Hotelling's T-squared distribution, Inverse-Wishart distribution, JMP (statistical software), Journal of the American Statistical Association, Likelihood-ratio test, Linear discriminant analysis, MATLAB, Minitab, Monotonic function, Multidimensional scaling, Multivariate analysis, Multivariate analysis of covariance, Multivariate analysis of variance, Multivariate normal distribution, Multivariate t-distribution, Multivariate testing, Normal distribution, OpenOffice.org, Parallel coordinates, Power (statistics), Principal component analysis, Principal response curve, Probability distribution, PSPP, Python (programming language), R (programming language), Recursive partitioning, Regression analysis, RV coefficient, SAS (software), SciPy, Simple linear regression, Simultaneous equations model, SmartPLS, SPSS, ..., Stata, Statistica, Statistical graphics, Statistical hypothesis testing, Statistical inference, Statistics, Structural equation modeling, Structured data analysis (statistics), Student's t-distribution, The Unscrambler, Theodore Wilbur Anderson, Time series, Univariate analysis, Vector autoregression, WarpPLS, Wishart distribution. Expand index (16 more) »
Admissible decision rule
In statistical decision theory, an admissible decision rule is a rule for making a decision such that there is not any other rule that is always "better" than it (or at least sometimes better and never worse), in the precise sense of "better" defined below.
New!!: Multivariate statistics and Admissible decision rule · See more »
Analysis of variance
Analysis of variance (ANOVA) is a collection of statistical models and their associated estimation procedures (such as the "variation" among and between groups) used to analyze the differences among group means in a sample.
New!!: Multivariate statistics and Analysis of variance · See more »
Artificial neural network
Artificial neural networks (ANNs) or connectionist systems are computing systems vaguely inspired by the biological neural networks that constitute animal brains.
New!!: Multivariate statistics and Artificial neural network · See more »
Bayesian inference
Bayesian inference is a method of statistical inference in which Bayes' theorem is used to update the probability for a hypothesis as more evidence or information becomes available.
New!!: Multivariate statistics and Bayesian inference · See more »
Bayesian multivariate linear regression
In statistics, Bayesian multivariate linear regression is a Bayesian approach to multivariate linear regression, i.e. linear regression where the predicted outcome is a vector of correlated random variables rather than a single scalar random variable.
New!!: Multivariate statistics and Bayesian multivariate linear regression · See more »
Bias of an estimator
In statistics, the bias (or bias function) of an estimator is the difference between this estimator's expected value and the true value of the parameter being estimated.
New!!: Multivariate statistics and Bias of an estimator · See more »
Canonical correlation
In statistics, canonical-correlation analysis (CCA) is a way of inferring information from cross-covariance matrices.
New!!: Multivariate statistics and Canonical correlation · See more »
Canonical correspondence analysis
In applied statistics, canonical correspondence analysis (CCA) is a multivariate constrained ordination technique that extracts major gradients among combinations of explanatory variables in a dataset.
New!!: Multivariate statistics and Canonical correspondence analysis · See more »
Cluster analysis
Cluster analysis or clustering is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some sense) to each other than to those in other groups (clusters).
New!!: Multivariate statistics and Cluster analysis · See more »
Correspondence analysis
Correspondence analysis (CA) or reciprocal averaging is a multivariate statistical technique proposed by Hirschfeld and later developed by Jean-Paul Benzécri.
New!!: Multivariate statistics and Correspondence analysis · See more »
Covariance mapping
In statistics, covariance mapping is an extension of the covariance concept from random variables to random functions.
New!!: Multivariate statistics and Covariance mapping · See more »
Estimation of covariance matrices
In statistics, sometimes the covariance matrix of a multivariate random variable is not known but has to be estimated.
New!!: Multivariate statistics and Estimation of covariance matrices · See more »
EViews
EViews (Econometric Views) is a statistical package for Windows, used mainly for time-series oriented econometric analysis.
New!!: Multivariate statistics and EViews · See more »
Factor analysis
Factor analysis is a statistical method used to describe variability among observed, correlated variables in terms of a potentially lower number of unobserved variables called factors.
New!!: Multivariate statistics and Factor analysis · See more »
General linear model
The general linear model or multivariate regression model is a statistical linear model.
New!!: Multivariate statistics and General linear model · See more »
Hotelling's T-squared distribution
In statistics Hotelling's T-squared distribution (T2) is a multivariate distribution proportional to the ''F''-distribution and arises importantly as the distribution of a set of statistics which are natural generalizations of the statistics underlying Student's ''t''-distribution.
New!!: Multivariate statistics and Hotelling's T-squared distribution · See more »
Inverse-Wishart distribution
In statistics, the inverse Wishart distribution, also called the inverted Wishart distribution, is a probability distribution defined on real-valued positive-definite matrices.
New!!: Multivariate statistics and Inverse-Wishart distribution · See more »
JMP (statistical software)
JMP (pronounced "jump") is a suite of computer programs for statistical analysis developed by the JMP business unit of SAS Institute.
New!!: Multivariate statistics and JMP (statistical software) · See more »
Journal of the American Statistical Association
The Journal of the American Statistical Association (JASA) is the primary journal published by the American Statistical Association, the main professional body for statisticians in the United States.
New!!: Multivariate statistics and Journal of the American Statistical Association · See more »
Likelihood-ratio test
In statistics, a likelihood ratio test (LR test) is a statistical test used for comparing the goodness of fit of two statistical models — a null model against an alternative model.
New!!: Multivariate statistics and Likelihood-ratio test · See more »
Linear discriminant analysis
Linear discriminant analysis (LDA), normal discriminant analysis (NDA), or discriminant function analysis is a generalization of Fisher's linear discriminant, a method used in statistics, pattern recognition and machine learning to find a linear combination of features that characterizes or separates two or more classes of objects or events.
New!!: Multivariate statistics and Linear discriminant analysis · See more »
MATLAB
MATLAB (matrix laboratory) is a multi-paradigm numerical computing environment and proprietary programming language developed by MathWorks.
New!!: Multivariate statistics and MATLAB · See more »
Minitab
Minitab is a statistics package developed at the Pennsylvania State University by researchers Barbara F. Ryan, Thomas A. Ryan, Jr., and Brian L. Joiner in 1972.
New!!: Multivariate statistics and Minitab · See more »
Monotonic function
In mathematics, a monotonic function (or monotone function) is a function between ordered sets that preserves or reverses the given order.
New!!: Multivariate statistics and Monotonic function · See more »
Multidimensional scaling
Multidimensional scaling (MDS) is a means of visualizing the level of similarity of individual cases of a dataset.
New!!: Multivariate statistics and Multidimensional scaling · See more »
Multivariate analysis
Multivariate analysis (MVA) is based on the statistical principle of multivariate statistics, which involves observation and analysis of more than one statistical outcome variable at a time.
New!!: Multivariate statistics and Multivariate analysis · See more »
Multivariate analysis of covariance
Multivariate analysis of covariance (MANCOVA) is an extension of analysis of covariance (ANCOVA) methods to cover cases where there is more than one dependent variable and where the control of concomitant continuous independent variables – covariates – is required.
New!!: Multivariate statistics and Multivariate analysis of covariance · See more »
Multivariate analysis of variance
In statistics, multivariate analysis of variance (MANOVA) is a procedure for comparing multivariate sample means.
New!!: Multivariate statistics and Multivariate analysis of variance · See more »
Multivariate normal distribution
In probability theory and statistics, the multivariate normal distribution or multivariate Gaussian distribution is a generalization of the one-dimensional (univariate) normal distribution to higher dimensions.
New!!: Multivariate statistics and Multivariate normal distribution · See more »
Multivariate t-distribution
In statistics, the multivariate t-distribution (or multivariate Student distribution) is a multivariate probability distribution.
New!!: Multivariate statistics and Multivariate t-distribution · See more »
Multivariate testing
Multivariate testing is hypothesis testing in the context of multivariate statistics.
New!!: Multivariate statistics and Multivariate testing · See more »
Normal distribution
In probability theory, the normal (or Gaussian or Gauss or Laplace–Gauss) distribution is a very common continuous probability distribution.
New!!: Multivariate statistics and Normal distribution · See more »
OpenOffice.org
OpenOffice.org (OOo), commonly known as OpenOffice, is a discontinued open-source office suite.
New!!: Multivariate statistics and OpenOffice.org · See more »
Parallel coordinates
Parallel coordinates are a common way of visualizing high-dimensional geometry and analyzing multivariate data.
New!!: Multivariate statistics and Parallel coordinates · See more »
Power (statistics)
The power of a binary hypothesis test is the probability that the test correctly rejects the null hypothesis (H0) when a specific alternative hypothesis (H1) is true.
New!!: Multivariate statistics and Power (statistics) · See more »
Principal component analysis
Principal component analysis (PCA) is a statistical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of linearly uncorrelated variables called principal components.
New!!: Multivariate statistics and Principal component analysis · See more »
Principal response curve
In multivariate statistics, principal response curves (PRC) are used for analysis of treatment effects in experiments with a repeated measures design.
New!!: Multivariate statistics and Principal response curve · See more »
Probability distribution
In probability theory and statistics, a probability distribution is a mathematical function that provides the probabilities of occurrence of different possible outcomes in an experiment.
New!!: Multivariate statistics and Probability distribution · See more »
PSPP
PSPP is a free software application for analysis of sampled data, intended as a free alternative for IBM SPSS Statistics.
New!!: Multivariate statistics and PSPP · See more »
Python (programming language)
Python is an interpreted high-level programming language for general-purpose programming.
New!!: Multivariate statistics and Python (programming language) · See more »
R (programming language)
R is a programming language and free software environment for statistical computing and graphics that is supported by the R Foundation for Statistical Computing.
New!!: Multivariate statistics and R (programming language) · See more »
Recursive partitioning
Recursive partitioning is a statistical method for multivariable analysis.
New!!: Multivariate statistics and Recursive partitioning · See more »
Regression analysis
In statistical modeling, regression analysis is a set of statistical processes for estimating the relationships among variables.
New!!: Multivariate statistics and Regression analysis · See more »
RV coefficient
In statistics, the RV coefficient is a multivariate generalization of the squared Pearson correlation coefficient (because the RV coefficient takes values between 0 and 1).
New!!: Multivariate statistics and RV coefficient · See more »
SAS (software)
SAS (previously "Statistical Analysis System") is a software suite developed by SAS Institute for advanced analytics, multivariate analyses, business intelligence, data management, and predictive analytics.
New!!: Multivariate statistics and SAS (software) · See more »
SciPy
SciPy (pronounced /ˈsaɪpaɪ'/ "Sigh Pie") is a free and open-source Python library used for scientific computing and technical computing.
New!!: Multivariate statistics and SciPy · See more »
Simple linear regression
In statistics, simple linear regression is a linear regression model with a single explanatory variable.
New!!: Multivariate statistics and Simple linear regression · See more »
Simultaneous equations model
Simultaneous equation models are a type of statistical model in the form of a set of linear simultaneous equations.
New!!: Multivariate statistics and Simultaneous equations model · See more »
SmartPLS
SmartPLS is a software with graphical user interface for variance-based structural equation modeling (SEM) using the partial least squares (PLS) path modeling method.
New!!: Multivariate statistics and SmartPLS · See more »
SPSS
SPSS Statistics is a software package used for interactive, or batched, statistical analysis.
New!!: Multivariate statistics and SPSS · See more »
Stata
Stata is a general-purpose statistical software package created in 1985 by StataCorp.
New!!: Multivariate statistics and Stata · See more »
Statistica
Statistica is an advanced analytics software package originally developed by StatSoft which was acquired by Dell in March 2014.
New!!: Multivariate statistics and Statistica · See more »
Statistical graphics
Statistical graphics, also known as graphical techniques, are graphics in the field of statistics used to visualize quantitative data.
New!!: Multivariate statistics and Statistical graphics · See more »
Statistical hypothesis testing
A statistical hypothesis, sometimes called confirmatory data analysis, is a hypothesis that is testable on the basis of observing a process that is modeled via a set of random variables.
New!!: Multivariate statistics and Statistical hypothesis testing · See more »
Statistical inference
Statistical inference is the process of using data analysis to deduce properties of an underlying probability distribution.
New!!: Multivariate statistics and Statistical inference · See more »
Statistics
Statistics is a branch of mathematics dealing with the collection, analysis, interpretation, presentation, and organization of data.
New!!: Multivariate statistics and Statistics · See more »
Structural equation modeling
Structural equation modeling (SEM) includes a diverse set of mathematical models, computer algorithms, and statistical methods that fit networks of constructs to data.
New!!: Multivariate statistics and Structural equation modeling · See more »
Structured data analysis (statistics)
Structured data analysis is the statistical data analysis of structured data.
New!!: Multivariate statistics and Structured data analysis (statistics) · See more »
Student's t-distribution
In probability and statistics, Student's t-distribution (or simply the t-distribution) is any member of a family of continuous probability distributions that arises when estimating the mean of a normally distributed population in situations where the sample size is small and population standard deviation is unknown.
New!!: Multivariate statistics and Student's t-distribution · See more »
The Unscrambler
The Unscrambler® X is a commercial software product for multivariate data analysis, used for calibration of multivariate data which is often in the application of analytical data such as near infrared spectroscopy and Raman spectroscopy, and development of predictive models for use in real-time spectroscopic analysis of materials.
New!!: Multivariate statistics and The Unscrambler · See more »
Theodore Wilbur Anderson
Theodore Wilbur Anderson (June 5, 1918 – September 17, 2016) was an American mathematician and statistician who has specialized in the analysis of multivariate data.
New!!: Multivariate statistics and Theodore Wilbur Anderson · See more »
Time series
A time series is a series of data points indexed (or listed or graphed) in time order.
New!!: Multivariate statistics and Time series · See more »
Univariate analysis
Univariate analysis is perhaps the simplest form of statistical analysis.
New!!: Multivariate statistics and Univariate analysis · See more »
Vector autoregression
Vector autoregression (VAR) is a stochastic process model used to capture the linear interdependencies among multiple time series.
New!!: Multivariate statistics and Vector autoregression · See more »
WarpPLS
WarpPLS is a software with graphical user interface for variance-based and factor-based structural equation modeling (SEM) using the partial least squares and factor-based methods.
New!!: Multivariate statistics and WarpPLS · See more »
Wishart distribution
In statistics, the Wishart distribution is a generalization to multiple dimensions of the chi-squared distribution, or, in the case of non-integer degrees of freedom, of the gamma distribution.
New!!: Multivariate statistics and Wishart distribution · See more »
Redirects here:
Multivariable analysis, Multivariate data, Multivariate datasets, Statistics/Multivariate.
References
[1] https://en.wikipedia.org/wiki/Multivariate_statistics
