search for: kutner

Hi, I want to use Maximum likelihood to estimate the parameters from my regression line. I have purchased the book "Applied linear statistical models" from Neter, Kutner, nachtsheim & Wasserman, and in one of the first chapters, they use maximum likelihood to estimate the parameters. Now I want to tried it for my self, but couldn't find the right function. In the book, they give a fixed variance to work with, but I couldn't find a function where I can e...

I'm wondering how to choose an appropriate linear model for a given problem. I have been reading Applied Linear Regression Models by John Neter, Michael H Kutner, William Wasserman and Christopher J. Nachtsheim. I'm still not clear how to choose an appropriate linear model. For multi-factor ANOVA, shall I start with all the interaction terms and do an F-test to see with interaction terms are not significant, then do a linear regression on a model witho...

...nd coworkers made a linear regression of Y on X and now I would like to ascertain the importance of the fact that X was measured with error for the utility of the formula in clinical practice (since I believe it is being misused by ignoring this fact - and more). I found in Neter, Wasserman and Kutner 3. ed a general discussion of the problem - but would very much like a more recent presentation if available and application in R. Best wishes Troels Ring Aalborg, Denmark

Hello everyone I appologize for my lack of experience in statistical methods. I am an R user begginer and I am running a logit model using "zelig" and "pcse" packages. I will go to the point and is that Im having problems with interpreting the results of my models.. It is really simple (I guess for the most advanced scholars) however I really dont understand how to interpret

...d do me a favour about this issue, please? Kind regards Mehrshad 1. Norusis MJ. SPSS 16.0 guide to data analysis. Upper Saddle River: Prentice Hall Inc.; 2008. 2. Norusis MJ. SPSS 16.0 statistical procedures companion. Upper Saddle River: Prentice Hall Inc.; 2008. 3. Kutner M, Nachtsheim C, Neter J, Li W. Applied linear statistical models. 5th ed. New York: McGraw-Hill; 2005. [[alternative HTML version deleted]]

If I'm not mistaken, partial R-squared is the R^2 of the quantities plotted in a partial residual plot, so you can base the computation on that. Prof. Fox's `car' package on CRAN has a function for creating those plots, but you need to figure out the way to extract the quantities being plotted. [In any case, the basic tools for doing such computations are all in R, and it

I hope this question is sufficiently different from the other requests for book recommendations that it's not repetitious. If not, I apologize in advance. I'm curious what standard reference books working statisticians, or biostatisticians, have within easy reach of their desk. I'm a computer systems administrator, and have a two-foot bookshelf directory under my monitor that contains

Hello, I'm looking for a textbook that can explain some of the math behind the intro-to-intermediate stuff like ANOVA, multiple regression, non- parametric tests, etc. A little background: I took an intro stats course last year and would like to further my education. Being as that was the highest (and only) stats class the local community college offers, it looks like I'm on