Biogeography, land snails and incomplete data sets: the case of three island groups in the Aegean Sea

2008 ◽  
Vol 42 (5-8) ◽  
pp. 467-490 ◽  
Author(s):  
Kostas A. Triantis ◽  
Katerina Vardinoyannis ◽  
Moisis Mylonas
Keyword(s):  
Incomplete Data ◽  
Aegean Sea ◽  
Land Snails ◽  
Data Sets

A Reliability-Based Approach to Assess Fatigue Behaviour Based on Small Incomplete Data Sets

2008 ◽  
Vol 44-46 ◽  
pp. 871-878 ◽  
Author(s):  
Chu Yang Luo ◽  
Jun Jiang Xiong ◽  
R.A. Shenoi
Keyword(s):  
Incomplete Data ◽  
Standard Procedure ◽  
Fatigue Behaviour ◽  
Fatigue Tests ◽  
Small Sample ◽  
Data Sets ◽  
Safe Life ◽  
A New Technique ◽  
And Performance

This paper outlines a new technique to address the paucity of data in determining fatigue life and performance based on reliability concepts. Two new randomized models are presented for estimating the safe life and pS-N curve, by using the standard procedure for statistical analysis and dealing with small sample numbers of incomplete data. The confidence level formulations for the safe and p-S-N curve are also given. The concepts are then applied for the determination of the safe life and p-S-N curve. Two sets of fatigue tests for the safe life and p-S-N curve are conducted to validate the presented method, demonstrating the practical use of the proposed technique.

Weber's Ratio, Multidimensional Scaling and Incomplete Data Sets: New Light on an Old Problem

1988 ◽  
Vol 32 (17) ◽  
pp. 1183-1187
Author(s):  
J. G. Kreifeldt ◽  
S. H. Levine ◽  
M. C. Chuang
Keyword(s):  
Multidimensional Scaling ◽  
Incomplete Data ◽  
Data Sets ◽  
Observation Data ◽  
Data Set ◽  
New Approach ◽  
Sensory Modalities ◽  
Minimal Difference ◽  
Typical Measurement ◽  
Measurement Context

Sensory modalities exhibit a characteristic known as Weber's ratio which remarks that when two stimuli are compared for a difference: (1) there is some minimal nonzero difference which can be differentiated and (2) this minimal difference is a nearly constant proportion of the magnitude of the stimuli. Both of these would, in a typical measurement context, appear to be system defects. We have found through simulation explorations that in fact these are apparently the characteristics required by a system designed to extract an adequate amount of information from an incomplete observation data set according to a new approach to measurement.

On Fuzzy Non-Metric Model for Data with Tolerance and its Application to Incomplete Data Clustering

2016 ◽  
Vol 20 (4) ◽  
pp. 571-579 ◽  
Author(s):  
Yasunori Endo ◽  
◽  
Tomoyuki Suzuki ◽  
Naohiko Kinoshita ◽  
Yukihiro Hamasuna ◽  
...  
Keyword(s):  
Data Clustering ◽  
Incomplete Data ◽  
Clustering Algorithm ◽  
Uncertain Data ◽  
Data Sets ◽  
Membership Degree ◽  
Clustering Methods ◽  
Clustering Method ◽  
Numerical Examples ◽  
Metric Model

The fuzzy non-metric model (FNM) is a representative non-hierarchical clustering method, which is very useful because the belongingness or the membership degree of each datum to each cluster can be calculated directly from the dissimilarities between data and the cluster centers are not used. However, the original FNM cannot handle data with uncertainty. In this study, we refer to the data with uncertainty as “uncertain data,” e.g., incomplete data or data that have errors. Previously, a methods was proposed based on the concept of a tolerance vector for handling uncertain data and some clustering methods were constructed according to this concept, e.g. fuzzyc-means for data with tolerance. These methods can handle uncertain data in the framework of optimization. Thus, in the present study, we apply the concept to FNM. First, we propose a new clustering algorithm based on FNM using the concept of tolerance, which we refer to as the fuzzy non-metric model for data with tolerance. Second, we show that the proposed algorithm can handle incomplete data sets. Third, we verify the effectiveness of the proposed algorithm based on comparisons with conventional methods for incomplete data sets in some numerical examples.

An efficient nonlinear programming strategy for PCA models with incomplete data sets

2010 ◽  
pp. n/a-n/a ◽  
Author(s):  
Rodrigo López-Negrete de la Fuente ◽  
Salvador García-Muñoz ◽  
Lorenz T. Biegler
Keyword(s):  
Nonlinear Programming ◽  
Incomplete Data ◽  
Data Sets

scholarly journals Dating the Volcanic Eruption at Thera

Radiocarbon ◽  
2004 ◽  
Vol 46 (1) ◽  
pp. 325-344 ◽  
Author(s):  
Christopher Bronk Ramsey ◽  
Sturt W Manning ◽  
Mariagrazia Galimberti
Keyword(s):  
Radiocarbon Dating ◽  
Aegean Sea ◽  
Data Sets ◽  
Calibration Data ◽  
East Mediterranean ◽  
Data Set ◽  
Western Turkey ◽  
Profound Influence ◽  
Calibration Data Set ◽  
Prehistoric Aegean

The eruption of the volcano at Thera (Santorini) in the Aegean Sea undoubtedly had a profound influence on the civilizations of the surrounding region. The date of the eruption has been a subject of much controversy because it must be linked into the established and intricate archaeological phasings of both the prehistoric Aegean and the wider east Mediterranean. Radiocarbon dating of material from the volcanic destruction layer itself can provide some evidence for the date of the eruption, but because of the shape of the calibration curve for the relevant period, the value of such dates relies on there being no biases in the data sets. However, by dating the material from phases earlier and later than the eruption, some of the problems of the calibration data set can be circumvented and the chronology for the region can be resolved with more certainty.In this paper, we draw together the evidence we have accumulated so far, including new data on the destruction layer itself and for the preceding cultural horizon at Thera, and from associated layers at Miletos in western Turkey. Using Bayesian models to synthesize the data and to identify outliers, we conclude from the most reliable 14C evidence (and using the INTCAL98 calibration data set) that the eruption of Thera occurred between 1663 and 1599 BC.

Species richness, environmental heterogeneity and area: a case study based on land snails in Skyros archipelago (Aegean Sea, Greece)

2005 ◽  
Vol 32 (10) ◽  
pp. 1727-1735 ◽  
Author(s):  
K. A. Triantis ◽  
M. Mylonas ◽  
M. D. Weiser ◽  
K. Lika ◽  
K. Vardinoyannis
Keyword(s):  
Species Richness ◽  
Environmental Heterogeneity ◽  
Aegean Sea ◽  
Land Snails
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