Linear programming based decomposition approach in evaluating priorities from pairwise comparisons and error analysis

1995 ◽  
Vol 84 (1) ◽  
pp. 207-234 ◽  
Author(s):  
E. Triantaphyllou
Keyword(s):  
Linear Programming ◽  
Error Analysis ◽  
Pairwise Comparisons ◽  
Decomposition Approach

Backward Error Analysis for the Linear Programming Problem

Optimization ◽  
2002 ◽  
Vol 51 (1) ◽  
pp. 1-10 ◽  
Author(s):  
Marie-Cécile Darracq-Calmettes ◽  
Jean-Pierre Dedieu
Keyword(s):  
Linear Programming ◽  
Error Analysis ◽  
Programming Problem ◽  
Linear Programming Problem ◽  
Backward Error Analysis ◽  
Backward Error

ANALISIS KESALAHAN SISWA DALAM MENYELESAIKAN SOAL PROGRAM LINEAR DITINJAU DARI ADVERSITY QUOTIENT

2020 ◽  
Vol 2 (1) ◽  
pp. 1-13
Author(s):  
Finlantya Elsa Hutami ◽  
Dinawati Trapsilasiwi ◽  
Randi Pratama Murtikusuma
Keyword(s):  
Linear Programming ◽  
Error Analysis ◽  
Linear Programming Problem ◽  
Research Approach ◽  
Reading Error ◽  
Process Skill ◽  
Error Process ◽  
Interview Guide ◽  
Qualitative Descriptive ◽  
Linear Programming Problems

This research aims to analyze student’s error types in solving linear programming problems based on Newman’s error analysis viewed from Adversity Quotient (AQ). This research approach is qualitative descriptive. Subjects in this research are 6 students in class X TKR 3 of SMKN 2 Jember. There are 2 climber students, 2 camper students, and 2 quitter students. Instruments that were used in this research to collect the data are ARP questionnaire, linear programming problem, interview guide, and validation sheets. Based on the result of this research, the climber students are able to do comprehension error, process skill error, and encoding error. The camper students are able to do comprehension error, transformation error, process skill error, and encoding error.  The quitter students are able to do reading error, comprehension error, transformation error, process skill error, and encoding error.

The O–C diagrams of minor planets − a new approach to modelling the rotation

1999 ◽  
Vol 173 ◽  
pp. 185-188
Author(s):  
Gy. Szabó ◽  
K. Sárneczky ◽  
L.L. Kiss
Keyword(s):  
Error Analysis ◽  
Time Dependence ◽  
Theoretical Work ◽  
Minor Planet ◽  
Minor Planets ◽  
New Approach ◽  
Preliminary Results ◽  
Ccd Observations

AbstractA widely used tool in studying quasi-monoperiodic processes is the O–C diagram. This paper deals with the application of this diagram in minor planet studies. The main difference between our approach and the classical O–C diagram is that we transform the epoch (=time) dependence into the geocentric longitude domain. We outline a rotation modelling using this modified O–C and illustrate the abilities with detailed error analysis. The primary assumption, that the monotonity and the shape of this diagram is (almost) independent of the geometry of the asteroids is discussed and tested. The monotonity enables an unambiguous distinction between the prograde and retrograde rotation, thus the four-fold (or in some cases the two-fold) ambiguities can be avoided. This turned out to be the main advantage of the O–C examination. As an extension to the theoretical work, we present some preliminary results on 1727 Mette based on new CCD observations.

Error Analysis in Neuropsychological Assessment of Verbal Memory and Learning

1995 ◽  
Vol 11 (1) ◽  
pp. 21-28 ◽  
Author(s):  
Dietmar Heubrock
Keyword(s):  
Error Analysis ◽  
Verbal Memory ◽  
Verbal Learning ◽  
Learning Disorders ◽  
Memory And Learning ◽  
Auditory Verbal Learning Test ◽  
Additional Information ◽  
Auditory Verbal Learning ◽  
Accurate Picture ◽  
Learning Test

Performance on a German version of the Rey Auditory-Verbal Learning Test (AVLT) was investigated for 64 juvenile patients who were subdivided in 6 clinical groups. In addition to standard evaluation of AVLT protocols which is usually confined to items recalled correctly, an error analysis was performed. Differentiating between total errors (TE), repetition errors (RE), and misnamings (ME), substantial differences between clinical groups could be demonstrated. It is argued that error analysis of verbal memory and learning enriches the understanding of neuropsychological syndromes, and provides additional information for diagnostic and clinical use. Thus, it is possible to gain a more accurate picture so that patients can be appropriately retrained, and research into the functional causes of memory and learning disorders can be intensified.

Heteroscedastic Methods for Performing All Pairwise Comparisons of Regression Lines Associated With J Independent Groups

Methodology ◽  
2015 ◽  
Vol 11 (3) ◽  
pp. 110-115 ◽  
Author(s):  
Rand R. Wilcox ◽  
Jinxia Ma
Keyword(s):  
Least Squares ◽  
Pairwise Comparisons ◽  
Simple Extension ◽  
Type I ◽  
Type I Errors ◽  
Well Elderly ◽  
Using Data

Abstract. The paper compares methods that allow both within group and between group heteroscedasticity when performing all pairwise comparisons of the least squares lines associated with J independent groups. The methods are based on simple extension of results derived by Johansen (1980) and Welch (1938) in conjunction with the HC3 and HC4 estimators. The probability of one or more Type I errors is controlled using the improvement on the Bonferroni method derived by Hochberg (1988) . Results are illustrated using data from the Well Elderly 2 study, which motivated this paper.

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