Название: Probability and Statistical Inference
Автор: Robert Bartoszynski
Издательство: John Wiley & Sons Limited
Жанр: Математика
isbn: 9781119243823
isbn:
Note
1 1 The nature of the class of all events will be (to a certain extent) explicated in Section 2.6. See also Section 1.4.
Chapter 3 Counting
3.1 Introduction
In the classical interpretation of probability, all outcomes of the experiment are equally likely, and the probability of an event is obtained as the relative frequency of outcomes that favor this event (imply its occurrence). Simple enumeration of elements in these sets is often not feasible, and therefore practical implementation of this principle requires developing techniques for counting elements of certain sets (e.g., sets of all possible outcomes of an experiment). The branch of mathematics dealing with such methods is called combinatorics, or combinatorial analysis. In this chapter, we introduce some combinatorial principles and illustrate their use in computing probabilities.
A much more complete presentation of combinatorial methods and their applications to probability can be found in Feller (1968).
3.2 Product Sets, Orderings, and Permutations
Consider two operations of some sort, which can be performed one after another. Leaving the notion of “operation” vague at the moment, we can make two assumptions:
1 The first operation can be performed in different ways.
2 For each of the ways of performing the first operation, the second operation can be performed in ways.
We have the following theorem:
Theorem 3.2.1 Under assumptions 1 and 2, a two‐step procedure consisting of a first operation followed by the second operation can be performed in
Proof: Observe that each way of performing the two operations can be represented as a pair
We will now show some applications of Theorem 3.2.1.
Example 3.1 Cartesian Products
One of the most common operations on sets is the Cartesian product. If
(3.1)
Observe that the Cartesian product
Identifying now the first and second operation with “choice of an element from set