Author : Panel on Nonstandard Mixtures of Distributions
Publisher : National Academies Press
Page : 104 pages
File Size : 36,20 MB
Release : 1988-01-01
Category : Business & Economics
ISBN :
Author : Arthur J. Wilburn
Publisher : CRC Press
Page : 432 pages
File Size : 30,82 MB
Release : 1984-04-03
Category : Technology & Engineering
ISBN : 9780824771249
In a clear, readable style, this timely volume provides the information needed to design and execute audit samples for the appraisal, evaluation, and validation of financial and accounting data. With this material, auditors and analysts can accomplish such required functions as evaluating program performance and determining the reliability of financial records and statements more quickly and accurately. Designed as a practical, reliable, on-the-job reference -- with a minimum of statistical theory and formulas -- Practical Statistical Sampling for Auditors blends statistical sampling with other acceptable auditing techniques ... emphasizes the significance of error analysis and audit appraisal ... examines audit and statistical stratification ... advocates the use of minimum samples ... emphasizes the use of replication to support audit decisions ... and outlines the advantages and limitations of various audit sampling schemes. Further, Practical Statistical Sampling for Auditors offers such handy features as chapter summaries, computer printouts, real-life examples, a time-saving table of minimum sample sizes, an easy-to-use glossary, a detailed index, and numerous literature citations, helping auditors; accountants; program, budget, and management analysts; comptrollers; and financial managers to apply statistical methods in consonance with Auditing Standards. Book jacket.
Author : Peter Jones
Publisher : Routledge
Page : 144 pages
File Size : 11,46 MB
Release : 2017-07-05
Category : Business & Economics
ISBN : 1351898000
This book is aimed at those with responsibilities for audit, risk and control - auditors of course - but also finance directors, audit committee members, project accountants, systems designers and other professionals too. Working under pressure, these people often need to take account of theory and best practice but strike a balance with the practical demands of their workplace. This book’s practical emphasis on meeting the ever-changing needs of clients and auditees will benefit a wide audience by helping readers to: ¢ select a suitable, practical sampling approach ¢ appreciate the statistical implications ¢ evaluate the results of audit testing ¢ take account of risk and control evaluation in targeting valuable audit resources. It does this by laying out the principles behind a concept and then grounding them in ’real life’ cases for the reader to work through. These are accompanied by suggested solutions which, while not definitive answers, do provide valuable advice and guidance. Finally the range of appendices, including a complete copy of the statement of auditing standards, SAS 430, make this book an essential resource for everyone concerned about modern auditing.
Author : Kenneth W. Stringer
Publisher : *Ronald Press
Page : 328 pages
File Size : 43,26 MB
Release : 1986-02-18
Category : Business & Economics
ISBN :
The technique enables the independent auditor to integrate the concepts of materiality and audit risk as set out in SAS 47 and permits effective use of sophisticated techniques without requiring a mathematics background. It is easy-to-use, includes extra math and graphics functions and can be interfaced with the Lotus 1-2-3.
Author : Committee on Applied and Theoretical Statistics Panel on Nonstandard Mixtures of Distributions (Board on Mathematical Sciences, National Research Council)
Publisher :
Page : pages
File Size : 19,48 MB
Release : 1988
Category :
ISBN : 9780309589796
Author : Donald A. Berry
Publisher : John Wiley & Sons
Page : 610 pages
File Size : 19,73 MB
Release : 1996
Category : Business & Economics
ISBN : 9780471118565
This book is a definitive work that captures the current state of knowledge of Bayesian Analysis in Statistics and Econometrics and attempts to move it forward. It covers such topics as foundations, forecasting inferential matters, regression, computation and applications.
Author : Ken Yale
Publisher : Elsevier
Page : 824 pages
File Size : 17,64 MB
Release : 2017-11-09
Category : Mathematics
ISBN : 0124166458
Handbook of Statistical Analysis and Data Mining Applications, Second Edition, is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers, both academic and industrial, through all stages of data analysis, model building and implementation. The handbook helps users discern technical and business problems, understand the strengths and weaknesses of modern data mining algorithms and employ the right statistical methods for practical application. This book is an ideal reference for users who want to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques and discusses their application to real problems in ways accessible and beneficial to practitioners across several areas—from science and engineering, to medicine, academia and commerce. - Includes input by practitioners for practitioners - Includes tutorials in numerous fields of study that provide step-by-step instruction on how to use supplied tools to build models - Contains practical advice from successful real-world implementations - Brings together, in a single resource, all the information a beginner needs to understand the tools and issues in data mining to build successful data mining solutions - Features clear, intuitive explanations of novel analytical tools and techniques, and their practical applications
Author : Anthony O' Hagan
Publisher : OUP Oxford
Page : 924 pages
File Size : 20,5 MB
Release : 2010-03-18
Category : Mathematics
ISBN : 0191613894
Bayesian analysis has developed rapidly in applications in the last two decades and research in Bayesian methods remains dynamic and fast-growing. Dramatic advances in modelling concepts and computational technologies now enable routine application of Bayesian analysis using increasingly realistic stochastic models, and this drives the adoption of Bayesian approaches in many areas of science, technology, commerce, and industry. This Handbook explores contemporary Bayesian analysis across a variety of application areas. Chapters written by leading exponents of applied Bayesian analysis showcase the scientific ease and natural application of Bayesian modelling, and present solutions to real, engaging, societally important and demanding problems. The chapters are grouped into five general areas: Biomedical & Health Sciences; Industry, Economics & Finance; Environment & Ecology; Policy, Political & Social Sciences; and Natural & Engineering Sciences, and Appendix material in each touches on key concepts, models, and techniques of the chapter that are also of broader pedagogic and applied interest.
Author : Giuseppe Orlando
Publisher : World Scientific
Page : 434 pages
File Size : 16,53 MB
Release : 2021-12-28
Category : Science
ISBN : 9811252378
The book offers an overview of credit risk modeling and management. A three-step approach is adopted with the contents, after introducing the essential concepts of both mathematics and finance.Initially the focus is on the modeling of credit risk parameters mainly at the level of individual debtor and transaction, after which the book delves into counterparty credit risk, thus providing the link between credit and market risks. The second part is aimed at the portfolio level when multiple loans are pooled and default correlation becomes an important factor to consider and model. In this respect, the book explains how copulas help in modeling. The final stage is the macro perspective when the combination of credit risks related to financial institutions produces systemic risk and affects overall financial stability.The entire approach is two-dimensional as well. First, all modeling steps have replicable programming codes both in R and Matlab. In this way, the reader can experience the impact of changing the default probabilities of a given borrower or the weights of a sector. Second, at each stage, the book discusses the regulatory environment. This is because, at times, regulation can have stricter constraints than the outcome of internal models. In summary, the book guides the reader in modeling and managing credit risk by providing both the theoretical framework and the empirical tools necessary for a modern finance professional. In this sense, the book is aimed at a wide audience in all fields of study: from quants who want to engage in finance to economists who want to learn about coding and modern financial engineering.
Author : Jun Dai
Publisher : Emerald Group Publishing
Page : 185 pages
File Size : 14,77 MB
Release : 2019-10-28
Category : Business & Economics
ISBN : 1787431738
Split into six parts, contributors explore ways to integrate Audit Analytics techniques into existing audit programs for the financial industry. Chapters include topics such as fraud risks in the credit card sector, clustering techniques, fraud and anomaly detection, and using Audit Analytics to assess risk in the lawsuit and payment processes.
