Large sample techniques for statistics
Jiang, Jiming
Large sample techniques for statistics - 2nd ed. - Cham : Springer, 2022. - xv, 685 p. ; 24 cm. ill. - Springer texts in statistics. .
9783030916978
Fundamental epsilon-delta arguments
Taylor expansion
Convergence
Inequalities
Observational data
Random matrix theory
Mixed effect models
Sample theory
519.52 / JIA-22
Large sample techniques for statistics - 2nd ed. - Cham : Springer, 2022. - xv, 685 p. ; 24 cm. ill. - Springer texts in statistics. .
9783030916978
Fundamental epsilon-delta arguments
Taylor expansion
Convergence
Inequalities
Observational data
Random matrix theory
Mixed effect models
Sample theory
519.52 / JIA-22