M. R. (2000), Determining the order of differencing in seasonal time series processes, Econometrics Journal, 3, 250-64.Franses P.H., Taylor A.M.R., Determining the Order of Differencing in Seasonal Time Series Processes, „Econometrics Journal Royal Economic Society" 2000, vol. 3(2)....
a quasi-dierencing approach to dynamic modelling from a time series of independent cross-sections S Girma 被引量: 0发表: 2017年 On Intermediate Models for Stratified Flow Intermediate models contain physics between that in the primitive equations and that in the quasigeostrophic equations. The ...
Determining the order of differencing in seasonal time series processes - FRANSES, TAYLOR - 1997Franses, P. H. and Taylor, A. M. R. (2000). Determining the order of differencing in seasonal time series processes, Econometrics Journal, 3, pp. 250-64....
Inter-quartile range approach to length-interval adjustment of enrollment data in fuzzy time series forecasting Various methods have been presented to investigate the length of data interval and partition number of universe of discourse in fuzzy time series to achiev... Z Ismail,R Efendi,MM Deris ...
Return an array representing the transformation computed in the previous step as a series of change objects. The array is ordered from the start of the input to the end, and each change object represents inserting one or more tokens, deleting one or more tokens, or keeping one or more token...
Consumption is, however, highly seasonal and conventional one-quarter or annual differencing may not be appropriate in such a case. Generalizing the time series process to allow seasonally-varying parameters, only one level of generalized ... Osborn, Denise R, et al - 《Oxford Bulletin of Econom...
On exit: the number of differenced values in the arrayxd. 'nx'=nx- integer; (optional) On entry:, the number of values in the undifferenced time series. Constraint: . . 'fail'=fail- table; (optional) The NAG error argument, see the documentation forNagError. ...
series combination of R3 and R4 with no effect from R5 Therefore R2 may be selected to obtain the desired output DC biasing level using any of the methods which have been discussed The circuit in Figure 16 has an input impedance of 1M and a gain of 100 3 6 AN AMPLIFIER WITH A DC ...
Edward R. Dougherty , 1993 : Mathematical Morphology in Image Processing. CRC Press,Ch 1, 2. Monnet, A., Mittal, A., Paragios, N., and Ramesh, V. 2003: Background modeling and subtraction of dynamic scenes. In IEEE International Conference on Computer Vision (ICCV). 1305–1312. Zhong...
The theoretical difference according to Saastamoinen (1972) is given next to the average over the time series Full size image 3.3 Processing strategies: zero-test and baseline estimation The data analysis is performed with two types of processing strategies. In the first approach, the so-called ...