search for: mdels

Hi, i am learning R recently and find it very helpful in time series model. In ARMA model, given (p,q) it can get the estimation of a[i] and b[j] easily with arima() function. X[t] = a[1]X[t-1] + ... + a[p]X[t-p] + e[t] + b[1]e[t-1] + ... + b[q]e[t-q] but in my recent data model, i met a problem. In the ARMA model, p and q are fixed, but there are some constraints in the parameters

Hi! I am looking for some insight with this situation: what to do or how to analyze when our models fitted with pgmm never pass Sargant test? With my current dataset, I've been fitting different models and with all possible combinations of lagged instruments, with all possible lag order combinations, but no model passes Sargan test. I can not give up gmm here as I have autocorrelation and

Dear all, I generate data under IRT mdel. I conducted 1000 replications. When I run, some replication was not fit with my model. So, replications were fit model were less than 1000 replication. If I want its run until 1000 replicaions. How shouldI write functin. Thank you, Kamontip [[alternative HTML version deleted]]

i have this in my mdel infomailer.rb class Infomailer < ActionMailer::Base helper :application end but i can''t understand why i can''t use method defined i application_helper.rb in template app/views/infomailer/send_order.html.erb please help -- Posted via http://www.ruby-forum.com/. --~--~---------~--~----~------------~-------~--~----~ You received this message because

Intel would like to contribute a patch to implement support for these Intel- and Microsoft -fp options. This message is to describe the options and request feedback from the community. -fp-model=[precise|strict|fast|except[-]] and -fp-speculation=[fast|strict|safe] This contribution would dovetail with the llvm patch "Teach the IRBuilder about constrained fadd and friends" which is

There has recently been some discussion on the list about AD Model builder and the suitability of R for constructing the types of models used in fisheries management. https://stat.ethz.ch/pipermail/r-help/2006-January/086841.html https://stat.ethz.ch/pipermail/r-help/2006-January/086858.html I think that many R users understimate the numerical challenges that some of the typical

...1] [,2] [1,] -0.3424971 1.492037 [2,] -Inf 1.755388 log(chol(((summary(fm2)$sigma)^2)*solve( matrix(getVarCov(fm2), nrow=2)))) [,1] [,2] [1,] -0.3424971 1.492037 [2,] -Inf 1.755388 In the two mdels, this terms are equals to the optimized parameters in fm2 not in fm1. I am missing something I suppose. Bests, Bernard --------------------------------- [[alternative HTML version deleted]]

Dear Lister, I am facing a strange problem fitting a GLM of the negative binomial family. Actually, I tried to estimate theta (the scale parameter) through glm.nb from MASS and could get convergence only relaxing the convergence tolerance to 1e-3. With warning messages: glm1<-glm.nb(nbcas~.,data=zonesdb4,control=glm.control(epsilon = 1e-3)) There were 25 warnings (use warnings() to see