Simple graphical methods for estimating the confidence region about the orientation of the intersection of two planes: Reply

1980 ◽  
Vol 17 (8) ◽  
pp. 1113-1114
Author(s):  
D. Kelker ◽  
D. Cruden
Keyword(s):  
Confidence Region ◽  
Graphical Methods

Simple graphical methods for estimating the confidence region about the orientation of the intersection of two planes

1978 ◽  
Vol 15 (10) ◽  
pp. 1598-1604 ◽  
Author(s):  
D. Cruden ◽  
D. Kelker
Keyword(s):  
Structural Geology ◽  
Rock Mechanics ◽  
Graphical Method ◽  
Confidence Region ◽  
Acute Angle ◽  
Graphical Methods ◽  
Graphical Construction ◽  
Large Size ◽  
Common Plane ◽  
The Common

We give a simple graphical method for the construction on a stereonet of the confidence region for the orientation of the line of intersection of two planes. The method applies when the poles to the planes have been estimated by large and approximately equal numbers of measurements which may be treated as samples from two Fisher distributions of equal and large precision parameters. The method requires the estimation of the acute angle between poles to the planes and the range of the plunges of the poles.When the samples of poles are samples of large size from two Bingham distributions tightly clustered about their common plane, a more complex graphical construction is available. It requires the estimation of scatter of the poles in and perpendicular to the common plane and some simple calculations.The methods are applicable to a variety of problems in structural geology and rock mechanics.

Methodical approaches to the evaluation of the trading enterprise competitiveness

2018 ◽  
Vol 35 (3) ◽  
pp. 22-27
Author(s):  
E. S. Kirenkina ◽  
I. G. Pavlenko
Keyword(s):  
Quantitative Assessment ◽  
Quality Level ◽  
Graphical Methods ◽  
Matrix Methods ◽  
Methods Of Evaluation ◽  
Comparative Advantages ◽  
Enterprise Competitiveness

The article is devoted to the issues of ensuring the competitiveness of a trading enterprise through its quantitative assessment. Analytic and graphical methods of evaluation are conventionally identified. The methodical approaches to the evaluation of the competitiveness of the trading enterprise, including the Rosenberg Model, the assessment of the quality level of production, matrix methods, the evaluation of comparative advantages, the multifactor score, the model of competitiveness are described, their strengths and weaknesses are identified.

New graphical methods for estimating aquifer hydraulic parameters using pumping tests with exponentially decreasing rates

2019 ◽  
Vol 33 (17) ◽  
pp. 2314-2322 ◽  
Author(s):  
Chao Zhuang ◽  
Zhifang Zhou ◽  
Hongbin Zhan ◽  
Jinguo Wang ◽  
Yabing Li ◽  
...  
Keyword(s):  
Graphical Methods ◽  
Hydraulic Parameters ◽  
Pumping Tests

Clustered Iconography: A Resurrected Method for Representing Multidimensional Data

2020 ◽  
pp. 004912412091494
Author(s):  
Olav Muurlink ◽  
Anthony M. Gould ◽  
Jean-Etienne Joullié
Keyword(s):  
Twentieth Century ◽  
Open Source ◽  
Multidimensional Data ◽  
Statistical Techniques ◽  
Graphical Representations ◽  
Graphical Methods ◽  
History Of ◽  
Research Findings

Development of graphical methods for representing data has not kept up with progress in statistical techniques. This article presents a brief history of graphical representations of research findings and makes the case for a revival of methods developed in the early and mid-twentieth century, notably ISOTYPE and Chernoff’s faces. It resurrects and improves a procedure, clustered iconography, which enables the presentation of multidimensional data through which readers engage more effectively with the presentation’s central message by way of an easier understanding of relationships between variables. The proposed technique is especially well adapted to the needs and protocols of open-source research.

Predicting microbial growth: graphical methods for comparing models

1990 ◽  
Vol 11 (3-4) ◽  
pp. 279-287 ◽  
Author(s):  
N. Bratchell ◽  
P.J. McClure ◽  
T.M. Kelly ◽  
T.A. Roberts
Keyword(s):  
Microbial Growth ◽  
Graphical Methods
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