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Please provide the mathematical modeling method of building materials sales market forecast.
In order to implement the requirements of the province's price monitoring system capacity building and business training courses on "gradually integrating mathematical analysis methods into data collation", our center has carried out active research and exploration in this regard. This paper attempts to analyze and predict the recent trend of some building materials prices by mathematical modeling.

Introduction to Mathematical Modeling

Mathematical modeling is a mathematical thinking method, and it is a powerful mathematical means to describe and solve practical problems by using mathematical language and methods through abstraction and simplification. The mathematical model includes many contents, among which the grey prediction method is a typical mathematical prediction model. Grey prediction method is a method based on grey system. The so-called grey system is a grey system between the white system and the black system, that is, the internal information and characteristics of the system are partly known and the other part is unknown. Its specific meaning is: if all information of a system is known as a white system, all information is unknown as a black system, some information is known, and some information is unknown, then the system is a gray system. Gray theory holds that although the behavior of gray system is hazy and the data is complex, it is orderly and has global functions. The generation of grey number is to find out the law from clutter. There are many factors that affect the price changes of goods and services, which have great uncertainty. It is most appropriate to use the grey forecasting method to forecast the price trend.

Two, the specific application of grey forecasting method in the price forecast of some building materials in our city.

1. Price changes in the building materials market in our city in the previous period.

The Information Monitoring Center of the Municipal Price Bureau began to conduct special monitoring on the prices of some building materials such as red bricks and sandstone in May 2009. The monitoring data shows that the prices of some building materials in May-10 are as follows (unit: RMB/ton).

moon

diversification

May

June

July

August

September

10 month

Ordinary brick

0.265

0.265

0.265

0.265

0.265

0.265

sand

Rough

60

60

60

58

58

58

middle

60

60

60

58

58

58

filmy

55

55

55

58

58

58

sandstone

4 cm

36.5

36.5

38

40

40

40

2-4 cm

36.5

36.5

38

40

40

40

2 cm

36.5

36.5

38

40

40

40

2. Forecast the price of building materials in June165438+1October by grey forecasting method.

In order to ensure the feasibility of the model, it is necessary to check the reference series. The calculated values of various building materials data are as follows:

diversification

Polarity ratio

Ordinary brick

( 1, 1, 1, 1, 1)

sand

Rough

( 1, 1,0.96, 1, 1)

middle

( 1, 1,0.96, 1, 1)

filmy

( 1, 1,0.95, 1, 1)

sandstone

4 cm

( 1,0.96,0.95, 1, 1)

2-4 cm

( 1,0.96,0.95, 1, 1)

2 cm

( 1,0.96,0.95, 1, 1)

Through calculation, the tolerance range is (0.75 15, 1.3307), so the polar ratios of all series fall within the tolerance range, and the reference series can be used as GM( 1, 1) model series for grey prediction.

3. According to the grey forecasting theory, the price of some building materials is estimated to be about:

diversification

Ordinary brick

coarse sand

Zhongshazi

fine sand

4 cm gravel

2-4cm sandstone

2 cm gravel

165438+ October price

0.265

58. 1944

58. 1944

57.688

39.7766

39.7766

39.7766

The results of the grey prediction model show that the prices of the above-mentioned building materials in our city will tend to be stable in the next month without major changes in supply and demand.

In order to better see the price trend, combined with the previous data, the prices of various monitored varieties have been counted since May, as shown in the following figure: