Probit model — In statistics, a probit model is a popular specification of a generalized linear model, using the probit link function. A probit regression is the application of this model to a given dataset. Probit models were introduced by Chester Ittner Bliss … Wikipedia
Probit — In probability theory and statistics, the probit function is the inverse cumulative distribution function (CDF), or quantile function associated with the standard normal distribution. It has applications in exploratory statistical graphics and… … Wikipedia
Multinomial probit — In econometrics and statistics, the multinomial probit model, a popular alternative to the multinomial logit model, is a generalization of the probit model that allows more than two discrete, unordered outcomes. It is not to be confused with the… … Wikipedia
Discrete choice — In economics, discrete choice problems involve choices between two or more discrete alternatives, such as entering or not entering the labor market, or choosing between modes of transport. Such choices contrast with standard consumption models in … Wikipedia
Predictive analytics — encompasses a variety of techniques from statistics and data mining that analyze current and historical data to make predictions about future events. Such predictions rarely take the form of absolute statements, and are more likely to be… … Wikipedia
Dummy variable (statistics) — In statistics and econometrics, particularly in regression analysis, a dummy variable (also known as an indicator variable) is one that takes the values 0 or 1 to indicate the absence or presence of some categorical effect that may be expected to … Wikipedia
Independence of irrelevant alternatives — (IIA) is an axiom of decision theory and various social sciences. The word is used in different meanings in different contexts. Although they all attempt to provide a rational account of individual behavior or aggregation of individual… … Wikipedia
Regression analysis — In statistics, regression analysis is a collective name for techniques for the modeling and analysis of numerical data consisting of values of a dependent variable (response variable) and of one or more independent variables (explanatory… … Wikipedia
Pseudo-Bestimmtheitsmaß — Im Falle einer linearen Regression beschreibt das Bestimmtheitsmaß den erklärten Anteil der Variabilität (Varianz) einer abhängigen Variablen Y durch ein statistisches Modell. Bei einem nominalen oder ordinalen Skalenniveau von Y existiert jedoch … Deutsch Wikipedia
logistic regression — (or logit regression) A form of regression analysis that is specifically tailored to the situation in which the dependent variable is dichotomous (or binary). For example, among a sample of people under investigation, a researcher might be… … Dictionary of sociology
logistic (or logit) regression — (or logit regression) A form of regression analysis that is specifically tailored to the situation in which the dependent variable is dichotomous (or binary). For example, among a sample of people under investigation, a researcher might be… … Dictionary of sociology