polynomial regression
21Mean and predicted response — In linear regression mean response and predicted response are values of the dependent variable calculated from the regression parameters and a given value of the independent variable. The values of these two responses are the same, but their… …
22Minimum message length — (MML) is a formal information theory restatement of Occam s Razor: even when models are not equal in goodness of fit accuracy to the observed data, the one generating the shortest overall message is more likely to be correct (where the message… …
23Minimum description length — The minimum description length (MDL) principle is a formalization of Occam s Razor in which the best hypothesis for a given set of data is the one that leads to the best compression of the data. MDL was introduced by Jorma Rissanen in 1978. It is …
24Deviance (statistics) — In statistics, deviance is a quality of fit statistic for a model that is often used for statistical hypothesis testing. The deviance for a model M0 is defined as Here denotes the fitted values of the parameters in the model M0, while denotes the …
25Structural equation modeling — (SEM) is a statistical technique for testing and estimating causal relations using a combination of statistical data and qualitative causal assumptions. This definition of SEM was articulated by the geneticist Sewall Wright (1921),[1] the… …
26Non-linear least squares — is the form of least squares analysis which is used to fit a set of m observations with a model that is non linear in n unknown parameters (m > n). It is used in some forms of non linear regression. The basis of the method is to… …
27Gauss–Newton algorithm — The Gauss–Newton algorithm is a method used to solve non linear least squares problems. It can be seen as a modification of Newton s method for finding a minimum of a function. Unlike Newton s method, the Gauss–Newton algorithm can only be used… …
28Jack C. Hayya — is professor emeritus of management science at the Pennsylvania State University.Education*B.S., Civil Enginering, University of Illinois at Champaign Urbana, 1952 *M.S., Management, California State University, Northridge, 1961 [Hayya, Jack C.… …
29Comparaison De Logiciels De Statistiques — Les tableaux suivants comparent l information générale et technique pour un certain nombre de logiciel de statistiques. Sommaire 1 Information générale 2 Système d exploitation 3 Analyse de variance (ANOVA) …
30Comparaison de logiciels de statistiques — Les tableaux suivants comparent l information générale et technique pour un certain nombre de logiciel de statistiques. Sommaire 1 Information générale 2 Système d exploitation 3 Analyse de variance (ANOVA) …
