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Anonymous users2024-02-11Statistics: Risk Management and Actuarial Science:
Probability Theory", Li Xianping, Higher Education Press.
Fundamentals of Mathematical Statistics, Lu Xuan, Tsinghua University Press.
Probability Theory and Mathematical Statistics, Mao Shisong, Zhou Jiqian, China Statistics Press.
Applied Regression Analysis, edited by He Xiaoqun et al., Chinese Renmin University Press.
Statistics, edited by Jia Junping, Chinese Renmin University Press.
Probability Theory and Mathematical Statistics:
Mathematical Analysis", Volume I and II, Department of Mathematics, Fudan University, edited by Chen Chuanzhang and Jin Fulin, Higher Education Press.
Advanced Algebra, Peking University Press.
Probability Theory", Li Xianping, Higher Education Press.
Fundamentals of Mathematical Statistics, Lu Xuan, Tsinghua University Press.
Probability Theory and Mathematical Statistics, Mao Shisong, Zhou Jiqian, China Statistics Press.
Epidemiology and Health Statistics:
Epidemiology", Zhan Siyan People's Medical Publishing House.
Health Statistics, edited by Fang Jiqian, Xu Yongyong and Chen Feng, People's Medical Publishing House.
Professional Degree) Applied Statistics:
Statistics, 4th Edition, Jia Junping, Chinese Renmin University Press.
Applied Regression Analysis, edited by He Xiaoqun et al., Chinese Renmin University Press.
Multiple Regression Analysis", edited by He Xiaoqun et al., Chinese Renmin University Press.
Sampling Techniques", edited by Jin Yongjin et al., Chinese Renmin University Press.
Time Series Analysis" Yi Danhui Chinese Renmin University Press.
Probability Theory and Mathematical Statistics, 3rd Edition, Liu Cihua Higher Education Press, Supporting Exercises.
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Anonymous users2024-02-10Mao Shisong's Probability Theory and Mathematical Statistics.
Li Xianping's Fundamentals of Probability Theory.
Statistics. Apply regression analysis.
Lu Xuan's Mathematical Statistical Fundamentals.
Review the book. Statistics.
Probability theory. Apply regression analysis.
Time series analysis.
Sampling techniques. Multivariate statistical analysis.
Non-parametric statistics.
National Accounts.
The English re-test is a level 6 listening question.
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Anonymous users2024-02-09math 1a&1b calculus calculus 1&2
The course examines the differentiation and integration of functions, as well as the branches of mathematics related to concepts and applications. It is a basic discipline of mathematics, which mainly includes limits, differential calculus, integral science and its applications. Differential calculus consists of the operation of finding derivatives and is a set of theories about the rate of change.
It makes it possible to discuss functions, velocities, accelerations, and slopes of curves in a common set of notations. Integralism, including the operation of finding integrals, provides a general set of methods for defining and calculating area, volume, etc.
math 53 multivariable calculus.
The course focuses on parametric equations and polar coordinates, vectors in two-dimensional Euclidean space and three-dimensional Euclidean space, partial derivatives, multiple integrals, vector calculus, and mathematical theorems such as Green's, Gauss, and Stokes.
Math 54 linear algebra and differential equations.
The course covers basic linear algebra, matrix operations, and determinants. At the same time, vector space, inner product space, eigenvalue and eigenvector, and orthogonal symmetry matrix are introduced. as well as linear second-order differential equations, systems of first-order equations with constant coefficients, Fourier series, etc.
Only when the total GPA is guaranteed to exceed and the above four courses are successfully completed, students can enter the statistics major for professional courses. It includes 3 compulsory courses and 3 elective courses. Three of the compulsory courses are:
stat 133 concepts in computing with data.
This course provides an introduction to the applied statistics of intensive computing, with topics such as: organization and use of databases, visualization and graphing, statistical learning and data mining, model validators, and presentation of results.
stat 134 concepts of probability.
The course deals with an introduction to probability theory, with an emphasis on statistical concepts and applications. The content contained is conditional expectation, independence, the law of large numbers; discrete and continuous random variables; Central Limit Theorem. Alternative topics include Poisson processes, Markov chains, and eigenfunctions.
stat 135 concepts of statistics.
This course is a comprehensive introduction to statistical theory and methods. Topics include descriptive statistics, maximum likelihood estimation, nonparametric methods, an introduction to optimality, goodness-of-fit tests, analysis of variance, bootstrap and computer-intensive methods, and least squares estimation. In addition, the lab course deals with the application of computer data analysis to science and engineering.
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Anonymous users2024-02-08The statistics major is not just like its superficial literal representation, just statistics, but includes survey, collection, analysis, etc., and has a wide range of applications, so it also requires graduates to master a solid basic theory of statistics and lay a solid foundation for the future.
Mathematical Analysis, Geometric Algebra, Mathematical Experiments, Ordinary Differential Equations, Complex Functions, Consolidation and Functionals, Probability Theory, Mathematical Statistics, Sampling Surveys, Stochastic Processes, Multivariate Statistics, Fundamentals of Computer Applications, Programming Languages, Data Analysis and Statistical Software, Regression Analysis, Reliability Mathematics, Experimental Design and Quality Control Round, Econometrics, Economics and Decision-making, Financial Mathematics, Statistical Analysis of Investments, Numerical Analysis, Data Structures and Algorithms, Database Management Systems, Computer Network Systems, System analysis and software design, Laxiang lead meter, etc.
Due to the high employment pressure of graduates of this major, there are many things to pay attention to when finding employment. First of all, it is necessary to have excellent professional knowledge results. When competition is large, it is natural to choose the best of the best, and professional knowledge is the most basic condition to measure whether you are excellent.
Therefore, at the time of the interview, be sure to bring your transcript. Generally speaking, it is believed that good students can do statistical work well, because statistical work requires seriousness, patience, and steadfastness, so this is very important.
This major mainly includes two professional directions: general statistics and economic statistics, and cultivates senior professionals with good mathematics or mathematics and economics literacy, mastering the basic theories and methods of statistics, proficient in using computers to analyze data, and being able to engage in the development, application and management of statistical surveys, statistical information management, quantitative analysis, etc. in enterprises, institutions and economic and management departments, or engage in research and teaching in scientific research and education departments.
Students in this major mainly learn the basic theories and methods of statistics, lay a good foundation in mathematics, have good scientific literacy, receive basic training in theoretical research, application skills and use of computers, and have basic abilities in data processing and statistical analysis.
1.Have a solid foundation in mathematics and receive relatively strict training in scientific thinking;
2.Master the basic theories, basic knowledge, basic methods and computer operation skills of Yanshi statistics; Basic ability to collect data, design questionnaires and process survey data;
3.Understand the basic knowledge of natural sciences, social sciences, engineering and technology related to socio-economic statistics, medical and health statistics, biostatistics or industrial statistics, etc., and have the preliminary ability to apply statistical theory to analyze and solve practical problems in this field;
4.Understand the development trends and application prospects of statistical theories and methods;
5.For the Bachelor of Science, you should be proficient in using various statistical software packages and have strong statistical calculation skills; For the bachelor of economics, students should have a solid foundation in economics and the ability to use information for comprehensive analysis and management; 6.Master the basic methods of data inquiry, literature retrieval and the use of modern information technology to obtain relevant information; Have certain scientific research and practical work ability.
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Anonymous users2024-02-071. Main courses:
Mathematical Analysis, Geometric Algebra, Mathematical Experiments, Ordinary Differential Equations, Complex Functions, Real and Functional, Probability Theory, Mathematical Statistics, Sample Surveys, Stochastic Processes, Multivariate Statistics.
Fundamentals of Computer Applications, Programming Languages, Data Analysis and Statistical Software, Regression Analysis, Reliability Mathematics, Experimental Design and Quality Control, Econometrics, Economics and Decision Making.
Financial Mathematics, Statistical Analysis of Investments, Numerical Analysis, Data Structures and Algorithms, Database Management Systems, Computer Network Systems, System Analysis and Software Design.
2. Professional courses and main basic courses:
Mathematical Analysis, Analytic Geometry, Advanced Algebra, Differential Equations, Complex Functions, Real Functions and Functional Analysis, Modern Algebra.
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Anonymous users2024-02-06Statistics is a comprehensive science that uses means such as searching, sorting, analyzing, and describing data to infer the essence of the measured object and even the future of the object. So what are the statistics courses? Let's take a look!
Complex Functions, Consolidation and Functionals, Probability Theory, Mathematical Statistics, Sample Surveys, Stochastic Processes, Multivariate Statistics, Fundamentals of Computer Applications, Programming Languages, Data Analysis and Statistical Software, Regression Analysis.
Mathematical Analysis, Geometric Algebra, Mathematical Experiments, Ordinary Differential Equations, Complex Functions, Real and Functional, Probability Theory, Mathematical Statistics, Sampling Survey, Stochastic Processes, Multivariate Statistics, Fundamentals of Computer Applications, Programming Languages, Data Analysis and Statistical Software, Regression Analysis, Reliability Mathematics, Experimental Design and Quality Control, Econometrics, Economic Regret and Decision-making, Financial Mathematics, Statistical Analysis of Investment, Numerical Analysis, Data Structures and Algorithms, Database Management Systems, Computer Network Systems, system analysis and software design.
Students in this major mainly learn the basic theories and methods of statistics, lay a good foundation in mathematics, have good scientific literacy, receive basic training in theoretical research, application skills and use of computers, and have basic abilities in data processing and statistical analysis.
The employment direction of statistics major is mainly to engage in research and teaching work in statistical departments, economic management departments, financial institutions such as banks, companies, insurance companies and information consulting companies, or to engage in data analysis in large enterprise departments.
Are you a fresh graduate, if you have experience in the work, it is much better, most of them have to have experience, as long as you are not nervous during the interview, the questions raised by the other party in an orderly manner can be, you must knock on the door before the other party agrees to enter, the general is to ask you have worked in ** before, why not do it? You don't make up some big truths, just say that the salary is low, want to find a high-paying job, in fact, this is the case, there is your interests, hobbies, if it is a foreign company, ask English is for sure, then you have to do some homework, at the end of the say something thank you very much and so on, of course, this is for foreign companies, what is important about the work, I think it is to be responsible, serious and responsible, dare to take responsibility, this I think you will definitely say, but also to show your determination, not afraid of hardship, Even if you work the night shift, you should use thank you and polite language, but the most important thing is not to be nervous. Be calm, even if you can't pass the interview, it's nothing, the sky can't fall, look for it again!
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