similar to: Counterintuitive Simulation Results

Can someone help me understand simulations of a one-sided Cusum? Consider the following: Q[i] = max(0, Q[i-1]+z[i]), z[i] ~ N(offset, 1), with Q[0] = FIR (fast initial response). With offset < 0, mean{Q[i] for fixed i averaged over many simulations} approaches an asymptote as i -> Inf. In simulations with abs(offset) small and FIR close to the asymptote, Q[i]

I am testing Solr FTS on dovecot. Read online that some suggested to run cronjob commit every minute, and optimize once a day. I am using Solr 7.1.0 and I see some configurations: In /etc/default/solr.in.sh: #SOLR_OPTS="$SOLR_OPTS -Dsolr.autoSoftCommit.maxTime=3000" #SOLR_OPTS="$SOLR_OPTS -Dsolr.autoCommit.maxTime=60000" Also in solrconfig.xml: ??? <autoCommit>

This is my current work.Now i am trying to use a function to do the normal distribution simulation. rm(list=ls()) t <- u<- mann<- rep(0, 45) Nsimulation<-function(S1,S2,Sds,nSims) { set.seed(1) for (sim in 1:nSims) { matrix_t <-matrix(0,nrow=nSims,ncol=3) matrix_u<-matrix(0,nrow=nSims,ncol=3)

HI, I am trying to use switch () function to connect the three distribution (normal ,gamma with equal skewness and gamma with unequal skewness. But i am losing my ideas since i have sample sizes-(10,10),(10,25),(25,25),(25,50),(25,100),50,25),(50,100), (100,25),(100,100) standard deviation ratio- (1.00, 1.50, 2.00, 2.50, 3.00 and 3.50) distribution of gamma distribution with unequal skewness

Dear R-users, I am a dentist (so forgive me if my question looks stupid) and came across a problem when I did simulations to compare a few single level and two level regressions. The simulations were interrupted and an error message came out like 'Error in MEestimate(lmeSt, grps) : Singularity in backsolve at level 0, block 1'. My collegue suggested that this might be due to my codes

Hola Daniel, si perdona di a responder directamente y no me di cuenta. Ya se donde esta el error, pero queria preguntar si a puede ser que mi R funcione mal o algo porque esta manhana ejecute mi script y funciono perfectamente y ahora volvi a ejecutarlo y me volvio a dar el mismo problema de ayer , despues de reiniciar y demas el tinnR y el R, no se si me vacila o es que tengo algo mal en

I would appreciate any ideas of what I'm doing wrong on this. My dialplan calls an AGI which records a file. That works, but I'm trying to find a way to determine whether the caller pressed # to stop a recording before the maxtime expired, or if the recording ended due to reaching the max timeout. The $fx variable in the below agi excerpt always returns 0. $res =

Hi Dave, The patch below corrects a buffer overflow bug in q_parser.y. Since it is triggered by excessively long query strings, I believe that this bug could be exploited to allow arbitrary code execution if a query string supplied by a user is passed in directly to Ferret and not truncatated. If I''m right, you should consider a new release asap. I''ve fixed it to simply

Hola a todos, Me gustaria pedir vuestra ayuda a encontrar el error que no consigo encontrar en este archivo. He revisado todo mil veces y probado y no doy con ello.Adjunto el archivo con Google drive porque es muy grande. ? monicap_50.csv <https://docs.google.com/file/d/0B8o2KrPEgG7ATlBMc19lTVk1d3M/edit?usp=drive_web> ? Este es el script, y lo que no entiendo que pasa es que tengo 592044

Hola!! Estoy intentando ejecutar un script com horas, al principio ejecute estos comandos DBx$Date<-strptime(DBx$Date, "%d-%m-%Y") ###Monicap use ; other use Y DBx$Year<-as.POSIXlt(DBx$Date)$year+1900 if(filename!="monicap_50.csv") {DBx$Time<-paste(DBx$Time, ":00", sep="")} Pero me daba el error de que mi base de datos tenia las

https://wiki.dovecot.org/Plugins/FTS/Solr Only offers a solr-7.7.0 solrconfig.xml, does it apply to solr-8.0.0? On Tue, Apr 23, 2019 at 11:18 AM luckydog xf <luckydogxf at gmail.com> wrote: > Here is solrconfig.xml, I removed comments. > -------------------- > > <?xml version="1.0" encoding="UTF-8"?> > <config> >

i have combined all the variables in a matrix, and i wish to conduct a simulation row by row. But i found out the code only works for the every first row after a cycle of nine samples. But after check out the code, i don know where is my mistake... can anyone pls help .... #For gamma disribution with equal skewness 1.5 #to evaluate the same R function on many different sets of data

I was playing around with a simple example using solve.qp ( function is in the quadprog package ) and the code is below. ( I'm not even sure there if there is a reasonable solution because I made the problem up ). But, when I try to use solve.QP to solve it, I get the error that D in the quadratic function is not positive definite. This is because Dmat is zero because I don't have a

Hello, All: I want to simulate future observations from fits to heteroscedastic data. A simple example is as follows: (DF3_2 <- data.frame(y=c(1:3, 10*(1:3)), gp=factor(rep(1:2, e=3)))) # I want to fit 4 models # and simulate future observations from all 4: fit11 <- lm(y~1, DF3_2) fit21 <- lm(y~gp, DF3_2) library(nlme) (fit12 <- lme(y~1, data=DF3_2,

Dear anonymous, The big mistake in the output might be obvious to you but not to others. Please make clear what the correct output should be or at least what is wrong with the current output. And please DO read the posting guide which asks you not to post in HTML. ir. Thierry Onkelinx Instituut voor natuur- en bosonderzoek / Research Institute for Nature and Forest team Biometrie &

Hi, i am sorry, the output should be values between 0 and 0.1 and not supposed to be 1.00, it is because they are type 1 error rate. And now i get output 1.00 for several samples,rhis is no correct. The loop do not run for every row. i do not know where is my mistake. As i use the same concept on normal distribution setup, i get the result. Sent from my phone On Thierry Onkelinx

Dear list, I am trying to follow an example that estimates a 2x2 markov transition matrix across several periods from aggregate data using restricted least squares. I seem to be making headway using solve.QP(quadprog) as the unrestricted solution matches the example I am following, and I can specify simple equality and inequality constraints. However, I cannot correctly specify a constraint

Hi, I am using solve.QP (from quadprog) to solve a standard quadratic programming problem: min_w -0.5*w'Qw st ... I would like solve.QP to do two things: 1) to start the optimization from a user-supplied initial condition; i.e., from a vector w_0 that satisfies the constraints, and 2) to return the values of the lagrange multiplieres associated with the constraints. I did not find an obvious

Hi, I'm using the package quadprog to solve the following quadratic programming problem. I want to minimize the function (b_1-b_2)^2+(b_3-b_4)^2 by the following constraints b_i, i=1,...,4: b_1+b_3=1 b_2+b_4=1 0.1<=b_1<=0.2 0.2<=b_2<=0.4 0.8<=b_3<=0.9 0.6<=b_4<=0.8 In my opinion the solution should be b_1=b_2=0.2 und b_3=b_4=0.8. Unfortunately R doesn't find

Hello. I'm trying to solve a quadratic programming problem of the form min ||Hx - y||^2 s.t. x >= 0 and x <= t using solve.QP in the quadprog package but I'm having problems with Dmat not being positive definite, which is kinda okay since I expect it to be numerically semi-definite in most cases. As far as I'm aware the problem arises because the Goldfarb and Idnani method first