| 1 F,H,Koster, Box-Jenkins mode's aad long term loans.
2 1,L,Hsrris, Nominal aad real sector relationship 1954-1980.
3 T, H, Elavia, Consumption and labor supp'y under dy-n}mic .
4 K,J,Jones, An empirically derived vector ARMA for monetarw and financial variables,.
5 S,Kapoor, A vector time series analysis or the prinary pollutanls which cause acid rain.
6 W,R,Terrf, An air quality- prediction system based.
7 P,A,Moretin, Rainfall at Fortaleza in Brazil revisited.
8 U, Hjorth, Space-time mode'ing of a moving field,.
9 H, Koppelman, Identification and parametor estimation of models for the phosphate balance in drinEing water reservcirs,.
10 I, R, Mufti, Recent developments in seismic migration.
11 F, EI-Hawsrs, An approach to seamic information extraction.
12 J,B,Bender, Robust homomorghic filtering.
13 E,A,Robinson, The right-half autocorrelation theorem.
14 PGoupilaud, The Layer-cake model revisited.
15 L, R, Lines, A review of nonlinear regression and its.
16 P,B,Robin son, Traffic engineering with time varying demands by stochastic approximction.
17 J.D,Gupta, A time series analysis of roadway surfaces.
18 R,J,Perry An investigation of thestability of a space-time autoregressive model gor foreasting highway condition data.
19 J.K,Ord, Forecesting the spread of an epidemic.
20 J K, Choi, Definition of an influenza epidemic and quantification of its impoct on US mortalitv.
21 P,Barore,A class of STAR models for stationary processes smoothly var ying in space.
22 J, E, Wihis, Modeling conservation effects on electricity coasunption.
23 E,Damsleth, Estimation of the mean duration of telephone calls.
24 H,J.Fowler, Telephone traffic forecasting with Kalman filter.
25 C,Kumar, A state space approach for analpsing queacing notwork problems in unmanned factories.
26 L,A,Aroian, Time series in M-dimension:past, present and future.
27 D.L,Quigg,. ARMA model identification:time series in M-dimension.
28 D, S. Stoffer, Maximum kelihood fitting of STARMAX Models to imco mplete space-time series data.
29 L,A,Aroian,Statistical space series on a aquare net.
30 D, A, Griffith, Estimating missing values in spacetime deta series.
31 K.S,Lii, Simultaneous equations system iden tification and estimation.
32 L,M,Liu,Unified econometric model building using simultaneous transfoer function eductions.
33 K,W,Hipel, Causal and dyamie relationships between natural phenomena.
34 O,L,Gebizlioglu, On the medeling, estimation and hypothesis testing for special ARMA processes.
35 C,E,Schm:d,ARMA maximum entropy spectral analysis using iterative prewhitening.
36 E,P,Liski.A recursive approach to estimation for certain time series and regression models.
37 D,P,Peilly, Transfoer funeticn simulation,identitication and estimation.
38 A.M.Walker, Some comments on the sccuracy of asymptote:theory for short timesseries.
39 P.A.Cartwright, Using state dependent models for prediction of time series weth masing observation.
40 D, Wright, Extensions of smoething methods for forecasting irregu'ar spaced data.
41 P. Roussceuw, Robust estimation of a lineartrend.
42 G.Trevino, A method for spFroximating the meanvalue nonstationary random data.
43 D, F, Findley, on polynomial transformation to staticnaritv.
44 Z. G. lfan, Timc series mufti-level AR model and its application.
45 T. Tetasvirta, Choosing between linear and threshold models.
46 C, Jacoh, Random cycles.
47 Z,M, WU. Nonlinear multi-step prediction of threshold autoregressive mode's.
48 M,M Ali, Distribntions of the sample autocorrelations when observations are from a starionarr ARMA processes.
49 T,Pukkila, On the frequency domain estimation of the innovation varince for a stationary univariate time series.
50 E,Mahmoud, Empirical results nn the accuracy of short term forecasting.
51 Q.P Duong, On the combination of forecasts.
52 R,M,Thompstone Grouping of periodic actoregressive models.
53 E, Cozanet, Monthly rcvissons of an annual forecast