search for: ar7

...fb0): %reg1076 = move 1 shortcirc_next.1.selectcont (0x8065d30, LLVM BB @0x8063f08): %reg1040 = phi %reg1076, mbb<shortcirc_next.1.selecttrue,0x8065cd0>, %reg1077, mbb<shortcirc_next.1,0x8065c70> %reg1039 = move %reg1040 %reg1042 = move <ga:.str_1> %reg1041 = move %reg1042 %ar7 = + %ar7, 8 %reg1043 = - %ar7, 1 store %reg1043, %reg1041 %reg1044 = - %ar7, 2 store %reg1044, %reg1029 %reg1045 = - %ar7, 3 store %reg1045, %reg1046 %reg1047 = - %ar7, 4 %reg1048 = move 0 store %reg1047, %reg1048 %reg1049 = - %ar7, 5 store %reg1049, %reg1050 %reg1051 = - %ar7, 6 %reg1...

...-1), exa12 = lag(exa, -12), exb1 = lag(exb, -1), exc1 = lag(exc, -1), exc12 = lag(exc, -12)), start = c(1990, 1), end = c(2003, 3)), include.mean = FALSE, fixed = c(NA, NA, NA, 0, 0, 0, NA, NA, NA, NA, NA, NA)) Coefficients: ar1 ar2 ar3 ar4 ar5 ar6 ar7 exa1 exa12 exb1 exc1 exc12 0.0922 -0.1279 -0.2661 -0.0577 -0.0277 0.02 -0.2167 -0.3015 0.3424 0.0281 0.0519 0.1715 s.e. 0.0789 0.0801 0.0742 0.0000 0.0000 0.00 0.0853 0.0503 0.0515 0.0295 0.0257 0.0329 Also, is th...

..., I have estimated the following model, a sarima: p=9 d=1 q=2 P=0 D=1 Q=1 S=12 In R 2.12.2 Call: arima(x = xdata, order = c(p, d, q), seasonal = list(order = c(P, D, Q), period = S), optim.control = list(reltol = tol)) Coefficients: ar1 ar2 ar3 ar4 ar5 ar6 ar7 ar8 ar9 0.3152 0.8762 -0.4413 0.0152 0.1500 0.0001 -0.0413 -0.1811 0.0646 s.e. 0.0865 0.0885 0.1141 0.1181 0.1196 0.1220 0.1120 0.0908 0.0865 ma1 ma2 sma1 -0.0221 -0.9779 -0.7635 s.e. 0.0539 0.0534 0.0834 sigma^2 estimated as 1.965e+1...

...ma and the fit of diff(x) with an arma (same coeff p & d) differ one from another here are the output of R: %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% > modelarma<-arma(diff(x),c(7,5)) > modelarma Call: arma(x = diff(x), order = c(7, 5)) Coefficient(s): ar1 ar2 ar3 ar4 ar5 ar6 ar7 ma1 ma2 0.06078 -0.44774 0.41881 0.47624 0.01406 0.06565 -0.06167 -0.01294 0.31313 ma3 ma4 ma5 intercept -0.49027 -0.55461 -0.11520 -0.10692 > modelarima<-arima(x,c(7,1,5)) > modelarima Call: arima(x = x, order = c(7, 1, 5)) Coefficients: ar1 ar2 ar3 ar4 ar5 ar6 ar7 ma1 ma2 ma3 ma4 0.1...

Hi, I want to model different timeseries with ARMAX models in R because I think that ARMAX models will map best to these data. Besides I don't want to use the order of the AR or MA part but the lag e.g. AR Part =ar1, ar2, ar7; MA Part =ma1, ma3 and I want to use exogenous variables as well. I coudn't find any solutions in the R help and therefore I want to ask all of you. Does anyone know how to solve this problem??? That would be great! Thanks a lot for your help!! Best regards, Katharina [[alternative HTML vers...

..., I have estimated the following model, a sarima: p=9 d=1 q=2 P=0 D=1 Q=1 S=12 In R 2.12.2 Call: arima(x = xdata, order = c(p, d, q), seasonal = list(order = c(P, D, Q), period = S), optim.control = list(reltol = tol)) Coefficients: ar1 ar2 ar3 ar4 ar5 ar6 ar7 ar8 ar9 0.3152 0.8762 -0.4413 0.0152 0.1500 0.0001 -0.0413 -0.1811 0.0646 s.e. 0.0865 0.0885 0.1141 0.1181 0.1196 0.1220 0.1120 0.0908 0.0865 ma1 ma2 sma1 -0.0221 -0.9779 -0.7635 s.e. 0.0539 0.0534 0.0834 sigma^2 estimated as 1.965e+1...

Hi, I would like to make a QoS configuration on a linux based dsl router. It is for a server, so I want to shape outgoing traffic, incoming traffic should not be a problem as long as I have a quite assymetric connection. I would like to achieve the following goals: 1) To have one class (p2p) having all the available bandwith if there is no activity on other classes. 2) If another class (ftp

...), xreg = isr) : possible convergence problem: optim gave code=1 In this case, when you print the results from the arima model, the error message appears again: > reg Call: arima(x = y, order = c(7, 0, 7), xreg = isr) Coefficients: ar1 ar2 ar3 ar4 ar5 ar6 ar7 ma1 ma2 -0.3356 0.0282 -0.0124 0.0604 0.1608 0.7949 0.2286 0.4461 0.0099 s.e. NaN 0.2140 0.1711 0.2545 0.1547 0.0725 NaN NaN 0.1842 ma3 ma4 ma5 ma6 ma7 intercept isr 0.0841 0.0773 -0.054 -0.7227 -0.1322 6.1433 -0.08...

...000e+00 Inf <2e-16 *** ar2 -3.386e-01 0.000e+00 -Inf <2e-16 *** ar3 3.339e-01 2.044e-17 1.634e+16 <2e-16 *** ar4 -4.406e-01 0.000e+00 -Inf <2e-16 *** ar5 3.924e-02 6.349e-18 6.182e+15 <2e-16 *** ar6 -5.184e-01 2.558e-17 -2.026e+16 <2e-16 *** ar7 8.988e-01 0.000e+00 Inf <2e-16 *** ar8 -7.568e-01 3.112e-16 -2.432e+15 <2e-16 *** ar9 3.442e-01 2.175e-22 1.582e+21 <2e-16 *** ma1 -1.190e-01 1.470e-18 -8.097e+16 <2e-16 *** ma2 -9.343e-02 0.000e+00 -Inf <2e-16 *** ma3 2.140e-01 0.000e+00 Inf...

Can anyone recommend a good cordless user-configurable SIP hardphone that is readily available in the states and doesn't cost $300? There seem to be a plethora of decent and affordable corded phones (like from Grandstream) but the search for a cordless unit seems elusive. I purchased a vtech 8100 online only to discover after receiving it that it is locked to vonage service. Thank you.

Hi all, I was wondering whether any of you have experience/info on Cable and/or ADSL modems that would come together with a SIP phone adaptor. What I am interested in is something that would plug directly into you ISP's cable (be it ethernet or adsl/phoneline), would combine a modem/router/nat such that on the other you could simply plug in your RJ-45 cable for your PC and a RJ-11 cable for

This patch set is intended for the next merge window. They are just enhancements of the already merged patches or ia64 porting from x86 paravirt techniques and that their quality is enough for merge. This patch set is for binary patch optimization for paravirt_ops. The binary patch optimization is important on native case because the paravirt_ops overhead can be reduced by converting indirect

This patch set is intended for the next merge window. They are just enhancements of the already merged patches or ia64 porting from x86 paravirt techniques and that their quality is enough for merge. This patch set is for binary patch optimization for paravirt_ops. The binary patch optimization is important on native case because the paravirt_ops overhead can be reduced by converting indirect

This patch set is intended for the next merge window. They are just enhancements of the already merged patches or ia64 porting from x86 paravirt techniques and that their quality is enough for merge. This patch set is for binary patch optimization for paravirt_ops which depends on the patch series I sent out, ia64/pv_ops, xen: more paravirtualization. The binary patch optimization is important on

This patch set is intended for the next merge window. They are just enhancements of the already merged patches or ia64 porting from x86 paravirt techniques and that their quality is enough for merge. This patch set is for binary patch optimization for paravirt_ops which depends on the patch series I sent out, ia64/pv_ops, xen: more paravirtualization. The binary patch optimization is important on

This patch set is for the next merge window. They are just enhancements of the already merged patches or ia64 porting from x86 paravirt techniques and that their quality is enough for merge. This patch set is for binary patch optimization for paravirt_ops which depends on the patch series I sent out, ia64/pv_ops, xen: more paravirtualization. The binary patch optimization is important on native

This patch set is for the next merge window. They are just enhancements of the already merged patches or ia64 porting from x86 paravirt techniques and that their quality is enough for merge. This patch set is for binary patch optimization for paravirt_ops which depends on the patch series I sent out, ia64/pv_ops, xen: more paravirtualization. The binary patch optimization is important on native

This patch set is for binary patch optimization for paravirt_ops. The binary patch optimization is important on native case because the paravirt_ops overhead can be reduced by converting indirect call into in-place execution or direct call. The first patch imports helper functions which themselves doesn't interesting things. The second patch replaces the indirect function calls with a

This patch set is for binary patch optimization for paravirt_ops. The binary patch optimization is important on native case because the paravirt_ops overhead can be reduced by converting indirect call into in-place execution or direct call. The first patch imports helper functions which themselves doesn't interesting things. The second patch replaces the indirect function calls with a

...| 2 +- arch/m68k/mac/config.c | 2 +- arch/m68k/mac/via.c | 2 +- arch/m68k/mm/fault.c | 2 +- arch/microblaze/kernel/signal.c | 2 +- arch/mips/alchemy/devboards/db1550.c | 2 +- arch/mips/ar7/setup.c | 2 +- arch/mips/ath79/setup.c | 3 +- arch/mips/bcm63xx/cpu.c | 2 +- arch/mips/bcm63xx/dev-flash.c | 2 +- arch/mips/cavium-octeon/executive/cvmx-pko.c | 2 +- arch/mips/cavium-octeon/octeon-pl...