71 Integrity Beef Alliance: II. Production and financial data analysis

Financial Development and Economic Growth: Panel Data and Trilateral Analysis

A large body of literatures links financial development to economic growth, yet the channels through which inflation and economic development affect this relationship have been less thoroughly explored. This research takes econometric and trilateral graphic approaches to examine these channels using 99 developing and developed countries during the years 1960-2009. Findings prove that respecti...

Financial Reporting Fraud Detection: An Analysis of Data Mining Algorithms

In the last decade, high profile financial frauds committed by large companies in both developed and developing countries were discovered and reported. This study compares the performance of five popular statistical and machine learning models in detecting financial statement fraud. The research objects are companies which experienced both fraudulent and non-fraudulent financial statements betw...

Financial Data Analysis

Analysis of modern technologies commonly used in beef cattle production: conventional beef production versus nonconventional production using meta-analysis.

Conventional feeding systems use pharmaceutical products not allowed in natural or organic systems for finishing cattle. This review of data compares the performance effects (ADG, G:F, DMI) of technologies used in conventional feeding programs that are prohibited in organic programs, natural programs, or both. The technologies evaluated were steroid implants, monensin, tylosin, endectocides, an...

Data Cleansing: Beyond Integrity Analysis

The paper analyzes the problem of data cleansing and automatically identifying potential errors in data sets. An overview of the diminutive amount of existing literature concerning data cleansing is given. Methods for error detection that go beyond integrity analysis are reviewed and presented. The applicable methods include: statistical outlier detection, pattern matching, clustering, and data...