Sustainable development issues Introduction Since the end of the 20th century, human faces a variety of serious ecological issues and sustainable development issues and these issues have become a hot topic.

[BINGSNIPMIX-3

For each cell the weekly peak traffic is obtain and used when applying the methods described above. Each cell will have a trend pro- jection equation for each forecasting method, therefore causing 19 equations per method.

However, as there are many cells with similar configuration to minimize the number of equations, the weekly average traffic will be employed instead of individual weekly peaks. The average does remove bias as different cells have dissimilar traffic pattern, therefore the average helps to provide a standard value and minimizing the number of trend equations from 19 to 4 per forecasting method.

There is only one cell for Class D, thus the average traffic will still be the maximum traffic. The four Classification groups are as described in table 1. Class Type Class A: Group Classification of Cell with Similar Configuration The figure 1 is used to illustrate how several weekly peaks for cells with similar configura- tion of 14 traffic channel is combined to the weekly average forming class A.

The figure 2 is used to illustrate how several weekly peaks for cells with similar configura- tion of 24 traffic channel is combined to the weekly average forming class B. The figure 3 is used to illustrate how several weekly peaks for cells with similar configura- tion of 33 traffic channel is combined to the weekly average forming class C.

The following trend projection techniques will be used: The equations obtained from each individual forecasting techniques are displayed in the tables 2, 3, 4, 5. This provides a visual comparison which helps to evaluate how close are the forecast from the actual value based on least mean square method.

The linear trend has been gener- ated from the least mean square method 1. This provides a comparison view which helps to evaluate how close are the forecast from the actual value based on exponential method.

The exponential trend has been gen- erated from the exponential method 1. Observation for exponential method: The forecast value is slightly over estimated, however it does happen that the forecast is nearly similar to the actual value. Exponential Trend Graph for Class A - Figure shows actual traffic intensity together with corresponding exponential forecast Figure 9: Exponential Trend Graph for Class B - Figure shows actual traffic intensity together with corresponding exponential forecas Figure Exponential Trend Graph for Class C - Figure shows actual traffic intensity together with corresponding exponential forecast Figure Forecasting Second Order Polynomial Trend Equation for Each Classification Group For each class type, the corresponding second order polynomial trend is plotted together with the weekly traffic.

This provides a way to compare visually thus helping to evalu- ate how correct the forecast are from the actual value based on second order polynomial method. The polynomial trend has been generated from the second order polynomial equa- tion 1.

Second Order Polynomial Trend Graph for Class D - Figure shows actual traffic intensity together with corresponding exponential forecast Observation for second order polynomial method: It can be seen that the forecast is under estimated and is far away from the actual values plus mostly does come up with negative values.

Forecasting Linear Regression Trend Equation for Each Classification Group The comparison figures below help to evaluate the correctness of forecast from the actual value based on linear regression method. The linear trend has been generated from the linear regression method equations 1. Linear regression Trend Graph for Class A - Figure shows actual traffic intensity together with corresponding linear regression forecast Figure Linear regression Trend Graph for Class B - Figure shows actual traffic intensity together with corresponding linear regression forecast Observation for linear regression: It can be seen that the forecast is quite close to the actual values.- Various Aspects of Economics of Information Economics of information in Education According to Farid (), economics of information is based on the concept that quality information is a scarce and valuable resource.

Last year, the American Economic Review put together last year a list of its most important papers during its year existence. Read on to see that list (in no particular order).

1 /. Keynesian economics is a macroeconomic model that is used to identify the equilibrium level, and examine disruptions, total production and income. Published: Mon, 20 Aug Theories of International Microeconomics. Within the list of economics essay topics, I’ve also included several sample essays for added inspiration.

So make sure to check them out as you scroll through the topics. 1. Supply and demand. Gas prices are an excellent example of supply and demand. Gas prices often rise in the summer due, in part, to the high demand of summer travelers. Indeed, globalization is the most popular trend in international economics.

Increasing integration of world markets and exchanges of information and technology are definitely expected to help the developing world. Argumentative Essay Topics From Team At Essay Basics Is the International Criminal Court fair in its judgments?

What is alimony and who should pay it? Is the current trend in fashion attractive? 7: Should there be a measure of just how far fashion should go? 8.

- The four steps involved in data analysis of the community
- How to write ap level questions examples
- Abnormal behavior study guide
- Pregnancy prevention essay
- The affects of partial birth abortion in roe v. wade case essay
- Intercultural awareness report halls low and
- An introduction to the life and work of napoleon
- Honesty essay in marathi
- Fiscal policy 3 essay
- Reflection on a university studies course
- Analyzing the uses of computer databases

Forecasting - Free Economics Essay - Essay UK