Structural Time Series Model -- Interpolation
tObservedLevelSlopeSeasonalStand. Residuals
1876876000
280739.438749195005-33.3220206605988-33.3220205348117-2.01923066414354
324921087.5830639368438.101825435729338.10182543572954.50939248034477
4529979.97330393283415.869993164405715.8699931644059-1.5570452125706
5606899.7059632356523.473081648206413.47308164820645-0.993162821793446
6164727.0908317746-16.2007259784725-16.2007259784725-1.8228229709314
7138580.922619187341-29.0138563473428-29.0138563473428-1.37296834332832
8601569.724252555796-27.4420240817724-27.44202408177240.193698476976906
9789603.186144293527-22.5784647928153-22.57846479281530.683666790610218
10146491.517914956846-29.0780586781537-29.0780586781537-1.03278837238338
11218417.080997875086-32.1250814214804-32.1250814214804-0.54235916812559
12939505.391078170931-24.6255953456375-24.62559534563751.48237174917282
13980500.007986159133-26.3892987025275290.2822854923940.595319183140863
14610510.88694443126-24.2367947376862-24.23679453976620.405283623316625
15583512.674740060703-22.845765358367-22.84576535836680.303173884835969
16432482.623271389128-23.2041060878576-23.2041060878573-0.0885846930375662
17558483.580241122641-22.0805699488624-22.08056994886240.310072275567726
18281431.018762050732-23.4121881220843-23.4121881220845-0.405073326121314
19139361.609892540563-25.3081488707346-25.3081488707345-0.629104030930546
20778422.070482720478-21.9593146145478-21.95931461454781.20155925323065
21517425.158292189384-21.0296182158756-21.02961821587560.35806642663742
22609444.260310192411-19.6089255308014-19.60892553080150.583687924108384
23344413.949137626832-19.9713304610657-19.9713304610656-0.157981544109141
24809469.374910523672-17.522657185651-17.5226571856511.12737161976886
25188397.569526318746-15.9597770816653175.557547775094-1.19942315525601
26318372.753193421795-16.2617504899261-16.26175035456-0.122494099128302
27201331.302945842809-17.0718490548621-17.0718490548619-0.359129047889253
28608369.244820809619-15.3960112822708-15.39601128227070.803927333770569
2943302.493843449414-16.8835004431474-16.8835004431474-0.765773714497092
30622346.102148770622-15.2114790923615-15.21147909236150.917244524248058
31746403.655709210837-13.2858241001908-13.28582410019071.11891522768868
32285374.96350149249-13.6773646315364-13.6773646315363-0.239726910574469
33757429.162505994994-12.0162400056723-12.01624000567241.06688358826427
34861492.14183284799-10.2445078567249-10.2445078567251.18905149637025
3535410.546997525462-11.8753073717334-11.8753073717333-1.13978943193998
36267379.211833180078-12.3064792401999-12.3064792401999-0.312908945507047
37815406.78087175292-13.0016379975075143.0180177154710.823700986968751
38501414.361401771169-12.5007087160452-12.50070849030390.312260742447803
39977500.815473810528-10.2120647937939-10.21206479379361.52915914829383
40740533.729684845435-9.26051205094414-9.260512050943960.676575126367348
41950595.887283932422-7.75173865542915-7.751738655429141.13452782105867
42616593.93091110045-7.63412139810453-7.634121398104660.0930308931766347
43848629.775652526437-6.78383420404864-6.783834204048530.704124047753677
44770647.651221695587-6.31785595321795-6.317855953217950.402347780858786
45887681.504281143067-5.58254683337235-5.582546833372360.659645203793752
46808697.758220686799-5.19449994117185-5.194499941171920.360560435466249
47326635.489178837268-6.18112513165607-6.18112513165598-0.946933096574282
48932677.906853671835-5.36244430960655-5.362444309606590.80969840757137
49649661.684483622003-5.2267207362828557.4939277881314-0.217677151361998
50916699.896310994554-4.40374000100629-4.403739759785510.691109544151941
51857722.392602919211-3.91747738658874-3.917477386588390.433614143594353
52894747.286577142846-3.41865360070071-3.418653600700510.469462564927615
53418692.513776050799-4.27324179102809-4.273241791028-0.84432119135364
54464653.445621530474-4.83158672494424-4.83158672494443-0.57638564602911
55477622.383264907771-5.2386675113644-5.23866751136427-0.437285520869377
56340574.589108565301-5.87908079950583-5.87908079950584-0.713269556555522
57327531.95483082135-6.41672224546272-6.41672224546273-0.618905130345706
58776565.429335008147-5.84833513489547-5.848335134895530.674393557360561
59192503.582622778907-6.62701163798682-6.6270116379867-0.949978821577287
60819547.696666333649-5.93727181347852-5.937271813478550.863398166868303
61323503.701292498968-5.5667020555942261.2337224716252-0.749830883906042
6239425.642197897141-6.69129166700592-6.69129140694704-1.18737154705147
63207386.444103772255-7.17366894519414-7.17366894519378-0.537847153753431
64614417.291080854246-6.63193025767073-6.631930257670830.634358698285226
65520428.772110710856-6.38325365876926-6.383253658769290.30431928685316
66801482.200341263759-5.58949151554921-5.589491515549261.01079272981744
6792417.990560932672-6.34366069017282-6.34366069017269-0.995563201542281
68747464.293492622501-5.68534349695848-5.685343496958490.89787042813837
69412452.323539293134-5.76190277556422-5.76190277556423-0.107567628715809
70570466.347549748135-5.52659819465074-5.526598194650790.339705909583606


Structural Time Series Model -- Extrapolation
tObservedLevelSeasonal
1134.948058300343433.291195736969-298.343137436626
2723.514426809191403.976852637933319.537574171258
3356.198016437138374.662509538897-18.464493101759
4204.620106319156345.348166439861-140.728060120705
5294.436058057723316.033823340825-21.5977652831019
6495.972674517191286.719480241789209.253194275402
7216.872440631402257.405137142753-40.5326965113509
8402.018225819967228.090794043717173.927431776251
9-186.321520403759198.776450944681-385.09797134844
10325.4066803707169.462107845645155.944572525055
1145.6432652841833140.147764746609-94.5044994624253
12251.439272164014110.833421647572140.605850516442
13-216.8240588880981.5190785485364-298.343137436626
14371.74230962075852.2047354495003319.537574171258
154.4258992487052222.8903923504642-18.464493101759
16-147.152010869277-6.42395074857185-140.728060120705
17-57.3360591307099-35.7382938476079-21.5977652831019
18144.200557328758-65.052636946644209.253194275402