For this aim, three

exponential smoothing methods, Holt, Brown and Damped Trend were executed to economically model the time series data.

1 Double seasonal Holt-Winters

exponential smoothing (DSHWES) model

NICE EVOLVE WFM forecasting combines next-generation technology (including advanced mathematical methods such as Box-Jenkins ARIMA,

exponential smoothing and multi-linear season regression) with an award-winning, customer-friendly user interface and cloud-based delivery.

Olsen and Jose (1982) used data on two restaurants to compare single and double

exponential smoothing models.

Use the single

exponential smoothing method to predict the Hurst coefficient in future time intervals.

For undergraduates, the most important was regression analysis followed by multiple regression, time series decomposition, moving average,

exponential smoothing, autocorrelation, auto regressive models, Box-Jenkins, Census X11, and adaptive filtering.

The first is considered to be simple and refers to the

exponential smoothing models whereas the second characterizes the Box-Jenkins methodology.

The combination of autoregressive integrated moving average (ARIMA) and seasonal

exponential smoothing (SES) techniques were found to be the most accurate.

Multi-criteria ABC inventory classification with

exponential smoothing weights was introduced (Jamshidi & Jain, 2008).

Let be a popularity degree of a block is defined as the future access frequency based on the number of access demand, at a time, the popularity degree of a block can be calculated using Holt's Linear and

Exponential Smoothing (HLES).

In Pakistan there is a need to stabilize production of wheat in order to sustain food security the main crop models used for wheat in our country are APSIM DSSAT SWAT CROPWAT Random Walk with Drift Linear Trend Simple

Exponential Smoothing ARIMAand IFSM.

Exponential smoothing models because of their characteristics have found very wide application in production and service organizations [1, 3].