Forensic analytics : methods and techniques for forensic accounting investigations /
by Nigrini, Mark J. (Mark John).
Material type:
BookPublisher: Hoboken, N.J. : Wiley, c2011Description: xvi, 458 p. : 25 cm.ISBN: 9780470890462.Subject(s): Forensic accounting | Fraud | Misleading financial statementsOnline resources: Full text available from Wiley-Blackwell Online Books - All Titles Summary: "The book will review and discuss (with Access and Excel examples) the methods and techniques that investigators can use to uncover anomalies in corporate and public sector data. These anomalies would include errors, biases, duplicates, number rounding, and omissions. The focus will be the detection of fraud, intentional errors, and unintentional errors using data analytics. Despite the quantitative and computing bias, the book will still be interesting to read with interesting vignettes and illustrations. Most chapters will be understandable by accountants and auditors that usually are lacking in the rigors of mathematics and statistics. The data interrogation methods are based on (a) known statistical techniques, and (b) the author's own published research in the field"-- Provided by publisher.
| Item type | Current location | Collection | Call number | Copy number | Status | Date due | Barcode |
|---|---|---|---|---|---|---|---|
Books
|
Dhaka University Library General Stacks | Non Fiction | 363.25963 NIF (Browse shelf) | 1 | Available | 492648 | |
|
Books
|
Dhaka University Library General Stacks | Non Fiction | 363.25963 NIF (Browse shelf) | 2 | Available | 492649 | |
|
Books
|
Dhaka University Library General Stacks | Non Fiction | 363.25963 NIF (Browse shelf) | 3 | Available | 492650 |
Includes bibliographical references (p. 455- 458) and index.
License restrictions may limit access.
"The book will review and discuss (with Access and Excel examples) the methods and techniques that investigators can use to uncover anomalies in corporate and public sector data. These anomalies would include errors, biases, duplicates, number rounding, and omissions. The focus will be the detection of fraud, intentional errors, and unintentional errors using data analytics. Despite the quantitative and computing bias, the book will still be interesting to read with interesting vignettes and illustrations. Most chapters will be understandable by accountants and auditors that usually are lacking in the rigors of mathematics and statistics. The data interrogation methods are based on (a) known statistical techniques, and (b) the author's own published research in the field"-- Provided by publisher.
There are no comments for this item.