In this paper, we focus on the future development of mobile research products, using principal
component analysis, Logistic regression analysis, dynamic pricing principle analysis, sensitiv
ity analysis, analytic hierarchy process, etc., respectively, to build a standardized model, regre
ssion model, dynamic pricing model, Markov prediction model , AHP, Matlab, Visio and othe
r software, and finally, the model results and the actual survey data combined to determine the
feasibility of the hierarchy analysis model.
To question 1, the survey data in Annex 2 is processed first, resulting in a collating table. And
then analyze the 23 questions in Annex 2, and ultimately determine some of the problems exc
luded. According to the rest of the data, the statistical analysis, linear regression analysis, prin
cipal component analysis and Logistic regression analysis show that the main factors influenci
ng the development of mobile research products are the characteristics of the mobile research
and development products and the advantages of other test channels.
In view of the problem 2, according to the unique characteristics of mobile research products,
the establishment of service products, dynamic pricing and sales relationship. And use the sen
sitivity analysis in operational research to consider the main factors that affect the profitability
of the commodity, and finally the maximum profit price range is estimated in the range of (10
54.18,1205.74) .For the product market forecast, the use of existing market data, Markov chai
n model, a reasonable forecast of market share reached the theoretical 28.7%, and will grow y
ear by year.
In view of the problem3, we choose Wuhan city as the object, consider the feasibility of the
city's economic, social and college entrance examination education, establish the level analysi
s model, from the economic human input, hardware and software, system maintenance, produ
ct life cycle; social propaganda, Influence, the line of competition; PubMed on the attention, r
ecognition, etc., these factors combined with the weight of test sites, recording and recording
courses for the main input, and the question bank / practice products, live course products, Di
ctionary category is second.
The biggest bright spot of this paper, dealing with huge and wrong data, reasonable optimizati
on, make the data composition clear, icon clear, logical rigor, the product price factor qualitati
ve analysis, the use of time continuous function, dynamic adjustment of each stage of the pric
e, Malcolm can avoid the impact of the past data, a reasonable forecast of potential market.Ap
plication of research products, the use of different product data, build a variety of programs, cl
oser to reality, the model to solve practical problems more accurate and appropriate, it will
have wide range of application.
