The Best Multivariate Statistics Tutoring Online

...equations, etc.). A number of courses I took while a graduate student relied heavily on linear algebra, including multivariate statistics including a lot of material on Wishart distributions, linear statistical models, statistical uses of singular read more

I took linear algebra 3 years ago at Texas A&M and have used it in a wide variety of fields, from signal processing in electrical engineering to multivariate statistics. I used it regularly in research at Imperial College London and... read more

I am a PhD Student in Industrial/Organizational Psychology with a Minor in Statistics well versed in univariate and multivariate statistics as well as Psychometrics. read more

I earned A+'s in Econometrics and Microeconomics at MIT. My teaching focus is in mathematical economics, including multivariate statistics, regression, and convex analysis. I specialize in helping college and graduate students who lack... read more

I have held workshops at my university on getting started with R and on advanced topics in R programming. I currently teach a PhD level course in multivariate statistical analysis and use R as secondary course software. I have taught R... read more

I have tutored both college and graduate students in statistics for several years. I have taken both introductory and multivariate statistics and used these methods in my coursework and independent research. read more

I have taught and tutored extensively in the subjects of probability, statistics, advanced statistics and multivariate statistics with applications to management, biostatistics, econometrics. read more

Through the school years, I had extensive training in the courses, like Mathematical Statistics, Applied Probability, Regression Analysis, Analysis of Variance, Multivariate Statistics, Time Series, Stochastic Processes, etc. I teach each... read more

Doctoral minor in statistics (Educational Research Methodology) Well versed in analyses such as t-tests, ANOVA, MANOVA, regression, multiple regression, structural equation modeling, statistical parametric mapping, multivariate statistics... read more

...conditional probabilities, entropy pooling), global optimization (e.g. genetic algorithms, simulated annealing), multivariate statistics geometry (e.g. copulas, Mahalanobis, various advanced distributions), and Quantum Mechanics and Quantum read more