Purchase Solution

Two Seasonal Data Models

Not what you're looking for?

Ask Custom Question

C.5. Is it more appropriate to use an additive or a
multiplicative model to forecast seasonal data?
Summarize the difference(s) between these two
types of seasonal models.

Purchase this Solution
Solution Summary

This solution of 329 words compares the additive and multiplicative model, looking at the differences between the two models.

Solution Preview

Seasonal Data:

Forecasting involves the act of making projections about the future performance based on both current and historical data. A forecasting model is usually selected after data has been captured for the time series. During this process, graphic and statistical techniques may be of great help. After a model has been selected, specifying the forecasting model while selecting the variables to be included is the next step (ZHU, & ZHU YI 2010).

Time series often displays seasonal behavior whereby seasonality is the tendency ...

Purchase this Solution
Free BrainMass Quizzes
Intro to the Physics Waves

Some short-answer questions involving the basic vocabulary of string, sound, and water waves.

The Moon

Test your knowledge of moon phases and movement.

Classical Mechanics

This quiz is designed to test and improve your knowledge on Classical Mechanics.

Introduction to Nanotechnology/Nanomaterials

This quiz is for any area of science. Test yourself to see what knowledge of nanotechnology you have. This content will also make you familiar with basic concepts of nanotechnology.

Variables in Science Experiments

How well do you understand variables? Test your knowledge of independent (manipulated), dependent (responding), and controlled variables with this 10 question quiz.

View More Free Quizzes
Related BrainMass Solutions

  • Time series analysis

    278358 Statistics Discussion: Common trend models; centered to moving average method DQ3: (a) Name two advantages and two disadvantages of each of the common trend models (linear, exponential, quadratic). Explain!

  • Forecasting with autocorrelations and partial autocorrelations

    There are two types of structural models: deseasonalized and periodic.

  • Time Series: seasonality, trend-seasonal model

    Answer based on the reasonableness of the forecasts and the MAPE values for the two models. (8 pts.) d) Interpret the seasonal indexes for Saturday and Sunday from part (c) in words.

  • Compare and Contrast Forecasting Methods

    These models are based only on past data. The focus is on using patterns, changes, disturbances, etc. in the data to forecast the future. Four types of Time Series Models include (click on each for more information): ? Moving Averages ?

  • Seasonal Index and Regression Models

    Find the seasonal index for each quarter. b. Deseasonalize the data. c. Find the trend line. d. Assume there is no cyclical component (don't forget: there IS a seasonal component).

  • Correlation and Regression Analysis and Descriptive Models

    The formula for computing seasonal factors is: Si = Di/D, where: Si = the seasonal index for ith period, Di = the average values of ith period, D = grand average, i = the ith seasonal period of the cycle.

  • Forecasting in healthcare

    smoothing): a type of weighted moving average that allows inclusion of trends, etc. 3. mathematical models (trend lines, log-linear models, Fourier series, etc.): linear or non-linear models fitted to time-series data, usually by regression methods

  • forecasting methods for The National Red Cross Organization

    smoothing): a type of weighted moving average that allows inclusion of trends, etc. 3. mathematical models (trend lines, log-linear models, Fourier series, etc.): linear or non-linear models fitted to time-series data, usually by regression methods

  • Multiple Choice Questions : Time Series Analysis

    Causal models a. should avoid the use of regression analysis. b. attempt to explain a time series' behavior. c. do not use time series data. d. All of the alternatives are true. 11.

View More Related Solutions