Probability and Statistical Inference. Robert Bartoszynski
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Название: Probability and Statistical Inference

Автор: Robert Bartoszynski

Издательство: John Wiley & Sons Limited

Жанр: Математика

Серия:

isbn: 9781119243823

isbn:

СКАЧАТЬ two options: , which is simply to receive $1,000,000, or , which is to receive $5,000,000 with probability 0.1, receive $1,000,000 with probability 0.89, and receive $0 with the remaining probability 0.01. After some deliberation, Tom decides that is better, mostly because the outcome $0, unlikely as it may be, is very unattractive.Tom is also confronted with a choice between two other options, and . In , he would receive $5,000,000 with probability 0.1 and $0 with probability 0.9. In , he would receive $1,000,000 with probability 0.11 and $0 with probability 0.89. Here Tom prefers : the “unattractive” option $0 has about the same probability in both and , while the positive outcome, although slightly less probable under , is much more desirable in that in . Show that these preferences of Tom are not compatible with the assumption that he has utilities and of $5,000,000, $1,000,000, and $0, such that (This is known as Allais' paradox; Allais, 1953).

      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.

      3.1 Introduction

      A much more complete presentation of combinatorial methods and their applications to probability can be found in Feller (1968).

      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:

      Proof: Observe that each way of performing the two operations can be represented as a pair images with images and images, where images is the imagesth way of performing the first operation and images is the imagesth way of performing the second operation if the first operation was performed in imagesth way. All such pairs can be arranged in a rectangular array with images rows and images columns.

      One of the most common operations on sets is the Cartesian product. If images and images are two sets, their Cartesian product images is defined as the set of all ordered pairs images, where images and images. For instance, if images consists of elements images and images, while images consists of the digits 1, 2, and 3, then the Cartesian product images contains the six pairs

      (3.1)equation

      Observe that the Cartesian product images is an operation quite distinct from the set‐theoretical product images. For instance, in the above case, images, since images and images have no elements in common. Also, while images, for Cartesian products images in general. In cases when there is no danger of confusion, we will use the term product for Cartesian product.

      Identifying now the first and second operation with “choice of an element from set images” and “choice of an element from set images,” we obtain the following consequence of Theorem 3.2.1: