Results 331 to 340 of about 30,987,372 (386)

Spatial analysis for interval-valued data

Journal of Applied Statistics, 2023
Symbolic data analysis deals with complex data with symbolic objects, such as lists, histograms, and intervals. Spatial analysis for symbolic data is relatively underexplored. To fill the gap, this paper proposes a statistical framework for spatial interval-valued data (SIVD) analysis.
Austin Workman, Joon Jin Song
openaire   +2 more sources

Interval-valued Data Analysis

International Journal of Business Analytics and Intelligence, 2015
N. A.
openaire   +1 more source

Fuzzy clustering algorithm for outlier-interval data based on the robust exponent distance

Applied intelligence (Boston), 2021
D. Phamtoan, Khanh Nguyenhuu, T. Vovan
semanticscholar   +1 more source

Querying Time Interval Data

2015
Analyzing huge amounts of time interval data is a task arising more and more frequently in different domains like resource utilization and scheduling, real time disposition, as well as health care. Analyzing this type of data using established, reliable, and proven technologies is desirable and required.
Philipp Meisen, Diane Keng, Tobias Meisen, Marco Recchioni, Sabina Jeschke   +4 more
openaire   +1 more source

Interval And Ordinal Data

2007
The standard Data Envelopment Analysis (DEA) method requires that the values for all inputs and outputs are known exactly. When some inputs and output are imprecise data, such as interval or bounded data, ordinal data, and ratio bounded data, the resulting DEA model becomes a non-linear programming problem.
Yao Chen, Joe Zhu
openaire   +1 more source

Linear discriminant analysis for interval data

Computational Statistics, 2006
The authors consider three approaches to the generalization of linear discriminant analysis (LDA) methods to multivariate interval data. In the first approach, some generalizations of the notions of ``linear combination'' and ``covariance matrix'' are made to cover multivariate intervals and LDA based on these generalizations.
Silva, António Pedro Duarte, Brito, Paula   +1 more
openaire   +2 more sources

Randomized Designs: Interval Data

2016
Chapter 3 utilizes the Multi-Response Permutation Procedures (MRPP) presented in Chap. 2 to develop the relationships between the test statistics of MRPP, δ and \(\mathfrak{R}\), and selected conventional tests and measures designed for the analysis of completely randomized data at the interval level of measurement.
Kenneth J. Berry, Paul W. Mielke, Janis E. Johnston   +2 more
openaire   +1 more source

Magnitude Vector Fitting to interval data

Mathematics and Computers in Simulation, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hendrickx, Wouter, Deschrijver, Dirk, Knockaert, Luc, Dhaene, Tom   +3 more
openaire   +3 more sources

INTERMACS: Interval Analysis of Registry Data

Journal of the American College of Surgeons, 2009
The Interagency Registry for Mechanically Assisted Circulatory Support (INTERMACS) is an NIH-sponsored registry of US FDA-approved mechanical circulatory support devices (MCSDs) used for destination therapy, bridge to transplantation (BTT), or recovery of the heart.
William L, Holman, Walter E, Pae, Jeffrey J, Teutenberg, Michael A, Acker, David C, Naftel, Benjamin C, Sun, Carmelo A, Milano, James K, Kirklin   +7 more
openaire   +2 more sources

An automatic clustering for interval data using the genetic algorithm

Annals of Operations Research, 2020
T. Vovan, D. Phamtoan, Le Hoang Tuan, T. Nguyen-Trang   +3 more
semanticscholar   +1 more source