Shurong Zheng, Zhao Chen, Hengjian Cui, Runze Li, HYPOTHESIS TESTING ON LINEAR STRUCTURES OF HIGH-DIMENSIONAL COVARIANCE MATRIX, The Annals of Statistics, Vol. 47, No. 6 (December 2019), pp. 3300-3334 ...

Introduction to estimation, hypothesis testing, regression and correlation. No credit for both MATH.3860 and MATH.4070, Math majors should take MATH.4070. Prerequisites MATH.1320 Calculus II, or ...

Point estimation, confidence intervals, hypothesis testing. Two-sample t-test. Correlation and linear regression. The bivariate normal distribution. Analysis of variance for one-and two-way designs. F ...

The matrix-variate normal distribution is a popular model for high-dimensional transposable data because it decomposes the dependence structure of the random matrix into the Kronecker product of two ...

Description: Introductory statistical methods, with emphasis on applications in biology. Topics include descriptive statistics, binomial and normal distributions, confidence interval estimation, ...

Introduces exploratory data analysis, probability theory, statistical inference, and data modeling. Topics include discrete and continuous probability distributions, expectation, laws of large numbers ...

Topics covered are data visualisation and descriptive statistics, probability theory, random variables, common distributions of random variables, multivariate random variables, sampling distributions ...

The estimation results with assets show that both the organizational inefficiency and diseconomies of scale are significantly negative throughout the three sub-periods, demonstrating that the ...