Probability Theory and Mathematical Statistics

Probability Theory and Mathematical Statistics Master Degree

Feel Free to Ask Questions!

Tel : +8615850513534

E-mail : apply@acasc.cn

  • Application Deadline:2017/07/30
  • Tuition:¥0.00
  • Application Fee:¥800.00
  • Service Fee:¥350.00
School Information

Founded in 1903, Central China Normal University (CCNU) is a comprehensive and prestigious university on the list of "211 National Project". During a splendid legacy of over 100 years, CCNU has developed a profound historical tradition.

Find more information on the university website
How To Apply

Applying through ACASC generally takes a few minutes to complete. It takes 5 steps to complete the application.

1. Click “Apply Now” button at the top of the page.

2. Fill in online application form.

3. Upload required documents.

4. Pay the application fee and the ACASC service fee

5. Click “Submit” button.

Important notice: In order to apply, you need to create an account with ACASC.

Probability theory is the branch of mathematics concerned with probability, the analysis of random phenomena. The central objects of probability theory are random variables, stochastic processes, and events: mathematical abstractions of non-deterministic events or measured quantities that may either be single occurrences or evolve over time in an apparently random fashion.

It is not possible to predict precisely results of random events. However, if a sequence of individual events, such as coin flipping or the roll of dice, is influenced by other factors, such as friction, it will exhibit certain patterns, which can be studied and predicted. Two representative mathematical results describing such patterns are the law of large numbers and the central limit theorem.

Mathematical statistics is the application of mathematics to statistics, which was originally conceived as the science of the state — the collection and analysis of facts about a country: its economy, land, military, population, and so forth. Mathematical techniques which are used for this include mathematical analysis, linear algebra, stochastic analysis, differential equations, and measure-theoretic probability theory.

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