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Non linear model: A model which is non-linear in the parameters, for instance are Some such type of models can be converted into the linear models by linearization (the second equation above, for instance, by taking logarithms throughout). Those which cannot are often referred to as the intrinsically non-linear, though these can often be approximated by the linear equations in some circumstances. Parameters in such type of models usually have to be estimated using an optimization procedure like the Newton-Raphson technique. In such models linear parameters are those for which second partial derivative of the model function with respect to parameter is zero (β1 and β3 in the first example given above); when this is not case (β2 and β4 in the ?rst example above) they are called as non-linear parameters.
Causality: The relating of the reasons to the effects they produce. Several investigations in medicine seek to establish the causal relations between the events, for instance, whi
Bonferroni correction : A procedure for guarding against the rise in the probability of a type I error when performing the multiple signi?cance tests. To maintain probability of a
Buffon's needle problem : A problem proposed and solved by the scientist Comte de Buffon in 1777 which includes determining the probability, p, which a needle of length l will inte
wat iz z difference b/n logistic regression and multiple regression analysis /
Software which started out as the spreadsheet targeting at manipulating the tables of number for financial analysis, which has now developed into a more flexible package for workin
Generalized principal components analysis: The non-linear version of the principal components analysis in which the goal is to determine the non-linear coordinate system which is
Intention-to-treat analysis is the process in which all the patients randomly allocated to a treatment in the clinical trial are analyzed together as representing that particular
Generally the final stage of an exploratory factor analysis in which factors derived initially are transformed to build their interpretation simpler. Generally the target of the pr
Influence statistics: The range of statistics designed to assess the effect or the in?uence of an observation in determining results of the regression analysis. The general approa
Convex hull trimming : A procedure which can be applied to the set of bivariate data to permit robust estimation of the Pearson's product moment correlation coef?cient. The points
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