Table of Contents
15 relations: Binary regression, Categorical variable, Control function (econometrics), Cross-sectional data, Estimation, Generalized linear model, Homoscedasticity and heteroscedasticity, Logistic regression, Logit, National Basketball Association, Non-linear least squares, Panel data, Quasi-maximum likelihood estimate, Unit interval, 401(k).
Binary regression
In statistics, specifically regression analysis, a binary regression estimates a relationship between one or more explanatory variables and a single output binary variable. Fractional model and binary regression are regression analysis.
See Fractional model and Binary regression
Categorical variable
In statistics, a categorical variable (also called qualitative variable) is a variable that can take on one of a limited, and usually fixed, number of possible values, assigning each individual or other unit of observation to a particular group or nominal category on the basis of some qualitative property.
See Fractional model and Categorical variable
Control function (econometrics)
Control functions (also known as two-stage residual inclusion) are statistical methods to correct for endogeneity problems by modelling the endogeneity in the error term.
See Fractional model and Control function (econometrics)
Cross-sectional data
In statistics and econometrics, cross-sectional data is a type of data collected by observing many subjects (such as individuals, firms, countries, or regions) at a single point or period of time.
See Fractional model and Cross-sectional data
Estimation
Estimation (or estimating) is the process of finding an estimate or approximation, which is a value that is usable for some purpose even if input data may be incomplete, uncertain, or unstable.
See Fractional model and Estimation
Generalized linear model
In statistics, a generalized linear model (GLM) is a flexible generalization of ordinary linear regression.
See Fractional model and Generalized linear model
Homoscedasticity and heteroscedasticity
In statistics, a sequence of random variables is homoscedastic if all its random variables have the same finite variance; this is also known as homogeneity of variance. Fractional model and Homoscedasticity and heteroscedasticity are regression analysis.
See Fractional model and Homoscedasticity and heteroscedasticity
Logistic regression
In statistics, the 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 variables.
See Fractional model and Logistic regression
Logit
In statistics, the logit function is the quantile function associated with the standard logistic distribution.
See Fractional model and Logit
National Basketball Association
The National Basketball Association (NBA) is a professional basketball league in North America composed of 30 teams (29 in the United States and 1 in Canada).
See Fractional model and National Basketball Association
Non-linear least squares
Non-linear least squares is the form of least squares analysis used to fit a set of m observations with a model that is non-linear in n unknown parameters (m ≥ n).
See Fractional model and Non-linear least squares
Panel data
In statistics and econometrics, panel data and longitudinal data are both multi-dimensional data involving measurements over time.
See Fractional model and Panel data
Quasi-maximum likelihood estimate
In statistics a quasi-maximum likelihood estimate (QMLE), also known as a pseudo-likelihood estimate or a composite likelihood estimate, is an estimate of a parameter θ in a statistical model that is formed by maximizing a function that is related to the logarithm of the likelihood function, but in discussing the consistency and (asymptotic) variance-covariance matrix, we assume some parts of the distribution may be mis-specified.
See Fractional model and Quasi-maximum likelihood estimate
Unit interval
In mathematics, the unit interval is the closed interval, that is, the set of all real numbers that are greater than or equal to 0 and less than or equal to 1.
See Fractional model and Unit interval
401(k)
In the United States, a 401(k) plan is an employer-sponsored, defined-contribution, personal pension (savings) account, as defined in subsection 401(k) of the U.S. Internal Revenue Code.
See Fractional model and 401(k)
References
Also known as Cross-Sectional and Panel Fractional Models.