Hat Matrix H1=1

Version 2010 Kapitel 5 13 Differenzierbare Funktionen.

Hat matrix h1=1. E021 - h112 where e denotes the i-th raw residual. Is the internally Studentized residual. If h1 1 reject model 1.

These values sum to 1 for each row and so H 11. Let 1 be the first column vector of the design matrix X. Vector lies in the subspace spanned by the columns of.

Key words Linear regression Cooks distance Influential observations Monte-Carlo computing. On the Bounds for Diagonal and Off-diagonal Elements of the Hat Matrix 77 1. If x1 x2 xn and 1h1 1h2.

Stack Exchange network consists of 177 QA communities including Stack Overflow the largest most trusted online community for developers to learn share their knowledge and build their careers. Nov 13 2011 2. The i-th row of the hat matrix list the coefficients of the average for the i-th fitted value.

Of the average for the i-th fitted value. Die Gruppe Gwerde von zwei Elementen ab Gerzeugt welche die folgenden Glei-chungen erfullen. I think prooving H1H is the same as answering the question above.

But I can not. It is useful for investigating whether one or more observations are outlying with regard to their X values and therefore might be excessively influencing the regression results. Auf diesen Beitrag antworten Meistens ist h der Abstand der Stellen und da diese bei -1 0 und 1 liegen ist 0--11-01.