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Essays in Accounting Theory in Honour of Joel S. Demski (Hardcover, 2007 ed.): Rick Antle, Pierre Jinghong Liang, Froystein... Essays in Accounting Theory in Honour of Joel S. Demski (Hardcover, 2007 ed.)
Rick Antle, Pierre Jinghong Liang, Froystein Gjesdal
R3,075 Discovery Miles 30 750 Ships in 10 - 15 working days

Essays on Accounting Theory in Honour of Joel Demski contains an extensive review of Professor Demski's own contributions to the theory of accounting over four decades written by Jerry Feltham, professor emeritus at the University of British Columbia. The integration of Accounting and the Economics of information worked out by Joel Demski and those he inspired has revolutionized accounting thought.

Essays in Accounting Theory in Honour of Joel S. Demski (Paperback, Softcover reprint of hardcover 1st ed. 2007): Rick Antle,... Essays in Accounting Theory in Honour of Joel S. Demski (Paperback, Softcover reprint of hardcover 1st ed. 2007)
Rick Antle, Pierre Jinghong Liang, Froystein Gjesdal
R3,848 Discovery Miles 38 480 Ships in 10 - 15 working days

The integration of accounting and the economics of information developed by Joel S. Demski and those he inspired has revolutionized accounting thought. This volume collects papers on accounting theory in honor of Professor Demski. The book also contains an extensive review of Professor Demski 's own contributions to the theory of accounting over the past four decades.

Bookkeeping Graphs - Computational Theory and Applications: Pierre Jinghong Liang Bookkeeping Graphs - Computational Theory and Applications
Pierre Jinghong Liang
R1,862 Discovery Miles 18 620 Ships in 10 - 15 working days

Bookkeeping Graphs: Computational Theory and Applications first describes the graph or network representation of Double-Entry bookkeeping both in theory and in practice. The representation serves as the intellectual basis for a series of applied computational works on pattern recognition and anomaly detection in corporate journal-entry audit settings. The second part of the monograph reviews the computational theory of pattern recognition and anomaly detection built on the Minimum Description Length (MDL) principle. The main part of the monograph describes how the computational MDL theory is applied to recognize patterns and detect anomalous transactions in graphs representing the journal entries of a large set of transactions extracted from real-world corporate entities’ bookkeeping data.

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