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Details of Statistical Techniques for Forensic Accounting: Understanding the Theory and Application of Data Analysis

Statistical Techniques for Forensic Accounting: Understanding the Theory and Application of Data Analysis
Exact title of book
Statistical Techniques for Forensic Accounting: Understanding the Theory and Application of Data Analysis
Book author
Saurav K. Dutta
ISBN
9780133133837
Publisher
Pearson Education
Published
Jun 27, 2013
Language
English
Format
PDF, FB2, EPUB, MOBI
Pages
400
File size (in PDF)
3600 kB

Some brief overview of book

Master powerful statistical techniques for uncovering fraud or misrepresentation in complex financial data. The discipline of statistics has developed sophisticated, well-accepted approaches for identifying financial fraud and demonstrating that it is deliberate. Statistical Techniques for Forensic Accounting is the first comprehensive guide to these tools and techniques.

Leading expert Dr. Saurav Dutta explains their mathematical underpinnings, shows how to use them properly, and guides you in communicating your findings to other interested and knowledgeable parties, or assessing others analyses. Dutta is singularly well-qualified to write this book he has been engaged as an expert in many of the worlds highest-profile financial fraud cases, including Worldcom, Global Crossing, Cendant, and HealthSouth. Here, he covers everything professionals need to know to construct and conduct valid and defensible statistical tests, perform analyses, and interpret others analyses.

Coverage includes exploratory data analysis to identify the Fraud Triangle and other red flags data mining tools, usage, and limitations statistical terms and methods applicable to forensic accounting relevant uncertainty and probability concepts Bayesian analysis and networks statistical inference, sampling, sample size, estimation, regression, correlation, classification, prediction, and much more. For all forensic accountants, auditors, investigators, and litigators involved with corporate financial reporting; and for all students interested in forensic accounting and related fields.

About book author

Saurav K. Dutta is an Associate Professor at the Department of Accounting, Business Law, and Taxation at the State University of New York at Albany, where he previously served as the Chairman of the Department. He has taught at the Graduate School of Management, Rutgers University, and at Zicklin College of Business, Baruch College, New York.

He holds a Bachelor of Technology Degree in Aerospace Engineering from the Indian Institute of Technology (Bombay) and a Ph. D. in Accounting from tin communicating your findings to other interested and knowledgeable parties, or assessing others analyses. Dutta is singularly well-qualified to write this book he has been engaged as an expert in many of the worlds highest-profile financial fraud cases, including Worldcom, Global Crossing, Cendant, and HealthSouth.

Here, he covers everything professionals need to know to construct and conduct valid and defensible statistical tests, perform analyses, and interpret others analyses. Coverage includes exploratory data analysis to identify the Fraud Triangle and other red flags data mining tools, usage, and limitations statistical terms and methods applicable to forensic accounting relevant uncertainty and probability concepts Bayesian analysis and networks statistical inference, sampling, sample size, estimation, regression, correlation, classification, prediction, and much more. For all forensic accountants, auditors, investigators, and litigators involved with corporate financial reporting; and for all students interested in forensic accounting and related fields.

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