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Statistical industry classification

Kakushadze, Zura; Yu, Willie - In: Journal of risk & control 3 (2016) 1, pp. 17-65

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An examination of the stability of the Standard Industrial Classification (SIC) code in the Compustat database

Pendley, John A. - In: Journal of business and economic perspectives 23 (1997) 2, pp. 65-75

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Nettoyage de fichiers dans le cas de données individuelles : recherche de la cohérence transversale

Kremp, Élizabeth - In: Economie & prévision : EP (1995), pp. 171-193

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Statistical thinking and techniques : use and benefits in manufacturing companies

Toledo, José Carlos de; Lizarelli, Fabiane Letícia; … - In: International journal of productivity and quality … 33 (2021) 4, pp. 471-492

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Multivariate statistics for personnel classification

Rulon, Phillip J.; Tiedeman, David V.; Tarsuoka, Maurice M. - 1967

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Shifting artificial data to detect system failures

Hwang, Wook-Yeon; Lee, Jong-seok - In: International transactions in operational research : … 22 (2015) 2, pp. 363-378

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Quantifying the effect of classification errors on the accuracy of mixed-source statistics

Delden, Arnout van; Scholtus, Sander; Burger, J.M.S. - 2015

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Discriminant analysis of distributional data via fractional programming

Dias, Sónia; Brito, Paula; Amaral, Paula - In: European journal of operational research : EJOR 294 (2021) 1, pp. 206-218

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Using Numbers to Persuade : Hidden Rhetoric of Statistics

Hassan, Nadia - 2021

Philosophy of current knowledge distinguishes facts from values. It maintains that facts areobjective, indisputable, universally verifiable, and do not require to persuade. Since rhetoricis persuasion it is assumed to be deceptive and overlook reality. Therefore, statistics in itscurrent form...

Persistent link: https://www.econbiz.de/10013323924

Statistics for comparative studies

Hills, Michael - 1974

Persistent link: https://www.econbiz.de/10000049136