Results 81 to 90 of about 2,059,205 (180)
Safe Approximations of Chance Constraints Using Historical Data [PDF]
This paper proposes a new way to construct uncertainty sets for robust optimization. Our approach uses the available historical data for the uncertain parameters and is based on goodness-of-fit statistics.
Hertog, D. den, Yanikoglu, I.
core +1 more source
Multiobjective Location Routing Problem considering Uncertain Data after Disasters
Discrete Dynamics in Nature and Society, 2017 The relief distributions after large disasters play an important role for rescue works. After disasters there is a high degree of uncertainty, such as the demands of disaster points and the damage of paths.
Keliang Chang +3 more
doaj +1 more source
A State Space Approach to Extracting the Signal from Uncertain Data [PDF]
Most macroeconomic data are uncertain - they are estimates rather than perfect measures of underlying economic variables. One symptom of that uncertainty is the propensity of statistical agencies to revise their estimates in the light of new information ...
Alastair Cunningham +4 more
core
Performance Evaluation of Iranian Ports Using Data Envelopment Analysis with Uncertain Data [PDF]
بهبود مدیریت, 2016 Data envelopment analysis is a set of mathematical programming models based on linear programming which are able to measure the relative efficiency of DMUs.
Amir Hossein Sadeqian +1 more
doaj
Uncertain crime data analysis using hybrid approach
Discover Artificial IntelligenceModern criminal investigations include various cutting-edge scientific methods, including hybrid models, game theory, and machine learning. Criminal investigations consist of the examination of data that is utilized as evidence.
Dileep Kumar Kadali +2 more
doaj +1 more source
Entity resolution for uncertain data
, 2012 Entity resolution (ER), also known as duplicate detection or record matching, is the problem of identifying the tuples that represent the same real world entity. In this paper, we address the problem of ER for uncertain data, which we call ERUD. We propose two different approaches for the ERUD problem based on two classes of similarity functions, i.e ...
Ayat, Naser +3 more
openaire +3 more sources
Testing Normality of Data for Uncertain Level of Significance
Journal of Statistical Theory and Applications (JSTA)Among the normality test is the W/S, which has a standard table as the interval for the critical region with both lower and upper bound. The test is appropriate for sample sizes of 3 and up, as shown in the W/S Critical table.
Muhammad Aslam
doaj +1 more source
Making adjuvant therapy decisions with uncertain data. [PDF]
Ann Oncol, 2019 Gyawali B, Prasad V.
europepmc +1 more source
Estimating seasonal onsets and peaks of bronchiolitis with spatially and temporally uncertain data. [PDF]
Stat Med, 2019 Pugh S +9 more
europepmc +1 more source