Author: Daniel Stripinis
Publisher:
ISBN:
Category : Evidence (Law)
Languages : en
Pages : 56

Get Book Here

Book Description

Author:
Publisher:
ISBN:
Category :
Languages : no
Pages : 38

Get Book Here

Book Description

Author: David A. Schum
Publisher:
ISBN:
Category : Education
Languages : en
Pages : 384

Get Book Here

Book Description
This is the companion volume to the book described above. Volume II contains supplementary material for Chapters 3 through 12 in Volume I. These supplements contain various formal, logical, or mathematical arguments in support of assertions made in the chapters in Volume I. The supplements also contain additional topical examples of evidentiary and inferential matters discussed in the chapter of Volume I; the examples in eight of these supplements are numerical in nature and are designed to illustrate the operations of the various formal systems of probability/inference under consideration.

Author: E. T. Jaynes
Publisher: Cambridge University Press
ISBN: 9780521592710
Category : Mathematics
Languages : en
Pages : 764

Get Book Here

Book Description
Index.

Author: William Mawdesley Best
Publisher:
ISBN:
Category : Evidence, Circumstantial
Languages : en
Pages : 444

Get Book Here

Book Description

Author: I︠A︡kov Grigorʹevich Sinaĭ
Publisher: Springer Science & Business Media
ISBN: 9783540533481
Category : Mathematics
Languages : en
Pages : 154

Get Book Here

Book Description
This book is an excellent introduction to probability theory for students who have some general experience from university-level mathematics, in particular, analysis. It would be suitable for reading in conjunction with a second or third year course in probability theory. Besides the standard material, the author has included sections on special topics, for example percolation and statistical mechanics, which are direct applications of the theory.

Author: Cambridge University Press
Publisher:
ISBN: 9780521047869
Category :
Languages : en
Pages :

Get Book Here

Book Description

Author: Colin Aitken
Publisher: John Wiley & Sons
ISBN: 1119245257
Category : Mathematics
Languages : en
Pages : 1248

Get Book Here

Book Description
The leading resource in the statistical evaluation and interpretation of forensic evidence The third edition of Statistics and the Evaluation of Evidence for Forensic Scientists 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.

Author:
Publisher:
ISBN:
Category : Evidence, Circumstantial
Languages : en
Pages : 120

Get Book Here

Book Description

Author: E. T. Jaynes
Publisher: Cambridge University Press
ISBN: 1139435167
Category : Science
Languages : en
Pages : 764

Get Book Here

Book Description
The standard rules of probability can be interpreted as uniquely valid principles in logic. In this book, E. T. Jaynes dispels the imaginary distinction between 'probability theory' and 'statistical inference', leaving a logical unity and simplicity, which provides greater technical power and flexibility in applications. This book goes beyond the conventional mathematics of probability theory, viewing the subject in a wider context. New results are discussed, along with applications of probability theory to a wide variety of problems in physics, mathematics, economics, chemistry and biology. It contains many exercises and problems, and is suitable for use as a textbook on graduate level courses involving data analysis. The material is aimed at readers who are already familiar with applied mathematics at an advanced undergraduate level or higher. The book will be of interest to scientists working in any area where inference from incomplete information is necessary.