where ax denotes the common mean of the random variables X (t), —00 < t < 00. Since rx(s, t) depends only on the difference between s and t, (4) rx(s, t) = rx(0, t — s), —00 < s,t < 00. The function rx(t), —00 < t < 00, defined by rX(t) ...
This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it.
The methodology used to construct tree structured rules is the focus of this monograph. Unlike many other statistical procedures, which moved from pencil and paper to calculators, this text's use of trees was unthinkable before computers.
Probability spaces; Combinatorial analysis; Discrete random variables; Expectation of discrete random variables; Continuous random variables; Jointly distributed random variables; Expectations and the central limit theorem; Moment generating functions and characteristic...
This author's modern approach is intended primarily for honors undergraduates or undergraduates with a good math background taking a mathematical statistics or statistical inference course. The author takes a finite-dimensional...