This undergraduate text distils the wisdom of an experienced teacher and yields, to the mutual advantage of students and their instructors, a sound and stimulating introduction to probability theory. The accent is on its essential role in statistical theory and practice, built on the use of illustrative examples and the solution of problems from typical examination papers. Mathematically-friendly for first and second year undergraduate students, the book is also a reference source for workers in a wide range of disciplines who are aware that even the simpler aspects of probability theory are not simple. Provides a sound and stimulating introduction to probability theory Places emphasis on the role of probability theory in statistical theory and practice, built on the use of illustrative examples and the solution of problems from typical examination papersZf(X), . where the summation is over all those values ofx such that g(x) = y. If there are no such values ofx or if for all such x, f(x) = 0, then h(y) is also zero. Example 2 X is a discrete random variable with p.d.f. l f(X)= a , X=l, 2, 3. n n 9 aquot;s =.
|Title||:||Probability and Random Variables|
|Author||:||G P Beaumont|
|Publisher||:||Elsevier - 2005-03-15|