Franco Taroni - Statistics and the Evaluation of Evidence for Forensic Scientists

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T
he leading resource in the statistical evaluation and interpretation of forensic evidence
The third edition of 
 is fully updated to provide the latest research and developments in the use of statistical techniques to evaluate and interpret evidence. Courts are increasingly aware of the importance of proper evidence assessment when there is an element of uncertainty. Because of the increasing availability of data, the role of statistical and probabilistic reasoning is gaining a higher profile in criminal cases. That’s why lawyers, forensic scientists, graduate students, and researchers will find this book an essential resource, one which explores how forensic evidence can be evaluated and interpreted statistically. It’s written as an accessible source of information for all those with an interest in the evaluation and interpretation of forensic scientific evidence. 
Discusses the entire chain of reasoning–from evidence pre-assessment to court presentation; Includes material for the understanding of evidence interpretation for single and multiple trace evidence; Provides real examples and data for improved understanding. Since the first edition of this book was published in 1995, this respected series has remained a leading resource in the statistical evaluation of forensic evidence. It shares knowledge from authors in the fields of statistics and forensic science who are international experts in the area of evidence evaluation and interpretation. This book helps people to deal with uncertainty related to scientific evidence and propositions. It introduces a method of reasoning that shows how to update beliefs coherently and to act rationally. In this edition, readers can find new information on the topics of elicitation, subjective probabilities, decision analysis, and cognitive bias, all discussed in a Bayesian framework.

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Objectivity is merely subjectivity when nearly everyone agrees. (p. 87)

1.7.8 Laws of Probability

There are several laws of probability that describe the values that probability may take and how probabilities may be combined as it has been discussed already in Section 1.7.6. These laws are given here, first for events that are not conditioned on any other information and then for events which are conditioned on other information.

The first law of probability, has already been suggested implicitly.

First Law of Probability

Probability can take any value between 0 and 1, inclusive, and only one of those values. Let картинка 387be any event and let Statistics and the Evaluation of Evidence for Forensic Scientists - изображение 388denote the probability that Statistics and the Evaluation of Evidence for Forensic Scientists - изображение 389occurs. Then Statistics and the Evaluation of Evidence for Forensic Scientists - изображение 390. For an event that is known to be impossible, the probability is zero. Thus if Statistics and the Evaluation of Evidence for Forensic Scientists - изображение 391is impossible, Statistics and the Evaluation of Evidence for Forensic Scientists - изображение 392. For an event that is known to be certain, the probability is one. Thus, if Statistics and the Evaluation of Evidence for Forensic Scientists - изображение 393is certain, Statistics and the Evaluation of Evidence for Forensic Scientists - изображение 394. This law is sometimes known as the convexity rule (Lindley 1991).

Consider the hypothetical example of the balls in the urn of which a proportion Statistics and the Evaluation of Evidence for Forensic Scientists - изображение 395are black and a proportion Statistics and the Evaluation of Evidence for Forensic Scientists - изображение 396white, with no other colours present, such that Statistics and the Evaluation of Evidence for Forensic Scientists - изображение 397. Proportions lie between 0 and 1; hence For any event Consider the drawing of a black ball If there are no - фото 398. For any event Consider the drawing of a black ball If there are no black balls in the - фото 399. Consider картинка 400, the drawing of a black ball. If there are no black balls in the urn, this event is impossible then картинка 401. This law is sometimes strengthened to say that a probability can only be 0 when the associated event is known to be impossible.

The first law concerns only one event. The next two laws, sometimes known as the second and third laws of probability, are concerned with combinations of events. Events combine in two ways. Let картинка 402and картинка 403be two events. One form of combination is to consider the event ‘ картинка 404and картинка 405’, the event that occurs if and only if картинка 406and картинка 407both occur, sometimes denoted картинка 408. This is known as the conjunction of картинка 409and картинка 410.

Consider the roll of a six‐sided fair die. Let картинка 411denote the throwing of an odd number. Let картинка 412denote the throwing of a number greater than 3 (i.e. a 4, 5, or 6). Then the event ‘ картинка 413and картинка 414’ denotes the throwing of a 5.

Secondly, consider rolling two six‐sided fair die. Let картинка 415denote the throwing of a six with the first die. Let картинка 416denote the throwing of a six with the second die. Then the event ‘ картинка 417and картинка 418’ denotes the throwing of a double 6.

The second form of combination is to consider the event ‘ картинка 419or картинка 420’, the event that occurs if картинка 421or картинка 422(or both) occurs. This is known as the disjunction of картинка 423and картинка 424.

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