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International Accounting Standard 8 Accounting Policies, Changes in Accounting Estimates and Errors or IAS 8 is an international financial reporting standard (IFRS) adopted by the International Accounting Standards Board (IASB). It prescribes the criteria for selecting and changing accounting policies, accounting for changes in estimates and ...
The most basic definition of a plug may be "a placeholder number which is used in an overall cost or budget estimate until a more accurate figure can be obtained". [2] Plugging has been described as "the use of false numbers in financial ledgers that forces balances, and effectively masks accounting errors and control deficiencies". [3]
Such errors in a system can be latent design errors that may go unnoticed for years, until the right set of circumstances arises that cause them to become active. Other errors in engineered systems can arise due to human error, which includes cognitive bias.
An accounting irregularity is an entry or statement that does not conform to the normal laws, practises and rules of the accounting profession, having the deliberate intent to deceive or defraud. Accounting irregularities can consist of intentionally misstating amounts and other information in financial statements, or omitting information ...
However, even if a consistent system of accounting rules is devised that conceptually eliminates double counting, double counting may technically still occur to some extent. The first and most obvious reason is that, in actual accounting practice, boundary problems arise, because a flow of expenditures might be interpreted in different ways ...
The accounting equation is a statement of equality between the debits and the credits. The rules of debit and credit depend on the nature of an account. For the purpose of the accounting equation approach, all the accounts are classified into the following five types: assets, capital, liabilities, revenues/incomes, or expenses/losses.
The term false discovery rate (FDR) was used by Colquhoun (2014) [4] to mean the probability that a "significant" result was a false positive. Later Colquhoun (2017) [ 2 ] used the term false positive risk (FPR) for the same quantity, to avoid confusion with the term FDR as used by people who work on multiple comparisons .