Estimating Yields and Grades of Slaughter Steers and Heifers

Jebe, Emil H.; Clifton, E. S.

doi:10.2307/1234400

Cited by 2 publications

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“…The percentage of correct estimates and the percentage of estimates falling within a range of one-third of a grade below to one-third of a grade above the official carcass grade are other measures of a grader's performance [4,15,16,17,18]. The analysis of variance in a linear regression of the carcass grades on the estimates of these grades has also been used [10].…”

Section: Alternative Methods Of Measuring Grading Errorsmentioning

confidence: 99%

A Quantitative Evaluation of the Ability of Individuals to Grade Live Cattle

McPherson¹,

Dixon²

1966

Journal of Farm Economics

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Almost 22 percent of the cash farm income from farming in the United States is derived from the sale of cattle. Much of the market information available to those who buy and sell cattle is based on animals meeting the federal grade standards for live animals. In this paper (a) a method is proposed for measuring the accuracy with which federal grade standards for beef cattle can be interpreted, (b) the accuracy with which seven graders estimated the grades of 497 cattle is reported, and (c) the risk incurred by buyers and sellers of live animals is evaluated. The results suggest that it is possible to save more than $50 million annually by eliminating the risk associated with the trading of live animals.

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Section: Alternative Methods Of Measuring Grading Errorsmentioning

confidence: 99%

A Quantitative Evaluation of the Ability of Individuals to Grade Live Cattle

McPherson¹,

Dixon²

1966

Journal of Farm Economics

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An information theory analysis of grades and grading with an application to beef cattle

Hanson

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Problems in Defining Grading Schemes 4 Objectives 8 Procedures 9 CHAPTER II. INFORMATION THEORY AND ANALYSIS OF GRADING SCHEMES 10 Information Theory and Entropy 11 Information Theory and the Evaluation of Grading Schemes 20 An Application of Information Theory to Corn Grading 21 A Criteria for Evaluation of Grading Schemes 32 The Effect of Aggregating Data and Choice of Grade Class Boundaries 34 Relative information content 52 Information loss due to aggregation 54 Quality Reporting Based on a Surrogate Characteristic 56 Aggregation of Surrogate Measurements 60 Errors in Measurement 76 Quality Reporting of More Than One Characteristic 77 Application to Continuous Distributions 83 CHAPTER III. APPLICATION TO BEEF GRADES: DATA AND PROCEDURES 102 Description of Beef Grades 102 Carcass beef quality grades 102 iii Page Carcass beef yield grades 103 Slaughter cattle quality grades 104 Slaughter cattle yield grades 105 Feeder cattle grades 105 Data Requirements 106 Data 106 Study I 107 Study II 115 Study III 120 Analysis Procedures 123 Calculation of Information Measures 123 Selection of Variables 126 CHAPTER IV. APPLICATION TO BEEF GRADES: RESULTS AND DISCUSSION 129 Grade Determining Analyses 129 Analyses of overall data 131 Analyses of within data 138 Quality Predictive Analyses 146 Analyses of overall data 146 Analyses of within data 166 Required Number of Grade Classes 176

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Estimating Yields and Grades of Slaughter Steers and Heifers

Cited by 2 publications

References 0 publications

A Quantitative Evaluation of the Ability of Individuals to Grade Live Cattle

A Quantitative Evaluation of the Ability of Individuals to Grade Live Cattle

An information theory analysis of grades and grading with an application to beef cattle

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