... Table IV shows that, although the RACUSUM signals later than the alternative, RAEWMA, particularly over small to medium slope sizes, the average of posterior estimates for the time, E(ˆ τ), outperforms the estimates ...
... a lineartrend is complicated by the fact that in practice it is typically not known whether the underlying process is I(0) or ...a lineartrend that are robust to whether a series is I(0) or ...
... of trend over time and ...as Trend free design. This article presents a method for constructing trend free fractional factorial design using parity check matrix of a linear ...with ...
... The lineartrend in the ZTD time series is particularly important for the purposes of climate studies, because it reflects the increase or decrease of temperature or water vapour content in the at- ...a ...
... different linear and non-linear growth models such as Lineartrend model, Quadratic trend model, Cubic model, Logarithmic and Inverse models were used to find the best fitted model for ...
... non-lineartrend and/or trend by ...the trend removing method with this method, we aim to improve forecasting ...method. Trend removing by the combination of linear and 2nd order ...
... and LinearTrend The RV data set for 30 Ari B published by Guenther et ...a lineartrend free parameter since the presence of such a trend was negligible in those ...
... not linear because there are many reasons such as lockdown, infection modes, poor health infrastructure that control or expand this disease in the ...non-lineartrend component into the linear ...
... Best Linear Unbiased Estimator (BLUE) of the slope (b) of a lineartrend-cycle component of time series computed from the Buys-Ballot derived variables defined by Iwueze and Nwogu ...
... Assume that the variations of body weight about a mean value can be represented by the sum of three independent components: a linear trend, a linear rise and fall in response to a known [r] ...
... upward trend in sar- coidosis over the study period is still statistically signifi- cant after adjusting for ...the lineartrend remains highly statistically significant (both p-values < ...the ...
... either the 95% quantile (where the alternative hypothesis was H 1 : β > 0) or the 2.5% and 97.5% quantiles (where the alternative hypothesis was H 1 : β ≠≠≠≠≠ 0). For the procedures LR1 and ML1, these quantiles then ...
... as Lineartrend model, Quadratic trend model, Exponential growth model, S-curve model and double exponen- tial smoothing model were used to find the best fitted model for area and production of ...
... as Lineartrend model, Quadratic trend model, Exponential growth model, Moving Average Model and Double exponential smoothing model were used to find the best fitted model for area and production of ...
... are lineartrend, logarithmic trend, simple moving average, exponential moving average, different smoothing algorithms, and they are single exponential smoothing, double exponential smoothing and ...
... quadratic trend model is the best fit as compared to growth curve and lineartrend models for the data under ...Quadratic trend model showed higher forecasts values than growth curve and ...
... best linear unbiased predictor (BLUP) estimation in a particular mixed model for a given smoothing ...with lineartrend plus a set of random covariates whose covariance matrix is known apart from a ...
... This linear model can only be applied in 20 districts / cities in Province A that is for Pacitan, Ponorogo, Lumajang, Probolinggo, Pasuruan, Mojokerto, Magetan, Ngawi, Bojonegoro, Lamongan, Pamekasan, Sumenep, ...
... values. Trend line and middle point for 70 occurrences in which a lineartrend is re- vealed are shown in the diagram (Figure ...that trend lines vary significantly in ...