Research on Parameter Distribution of Interval Deleted Data with Turnbull Estimation

2012 ◽  
Vol 605-607 ◽  
pp. 780-783
Author(s):  
Jin Huang Wu ◽  
Jun Sheng Wang ◽  
Hai Bo Liu ◽  
Jun Wei Lei
Keyword(s):  
Data Analysis ◽  
Data Distribution ◽  
Reliability Assessment ◽  
Selection Method ◽  
Parameter Selection ◽  
Selection Problem ◽  
Parameter Distribution ◽  
Standard Curve ◽  
Packet Data ◽  
Selection For

A kind of selection method of parameter distribution is proposed to solve the distributive parameter selection problem of packet data by using common Turnbull estimated curve as a standard curve. This method can meet the requirements of data distributive selection for data analysis such as reliability assessment, and it can guide the engineering and technical researchers to choose a reasonable fitting of the data distribution, and to improve the accuracy and efficiency of reliability assessment

Research on a Kind of Distribution Selection Method for Right Censored Data Based on Data Expansion Algorithm

2012 ◽  
Vol 605-607 ◽  
pp. 2257-2259
Author(s):  
Jin Huang Wu ◽  
Hai Bo Liu ◽  
Yi Dong Wang ◽  
Jun Wei Lei
Keyword(s):  
Censored Data ◽  
Data Distribution ◽  
Reliability Assessment ◽  
Selection Method ◽  
Parameter Distribution ◽  
Reliability Engineering ◽  
Right Censored Data ◽  
Reasonable Choice ◽  
The Right ◽  
Data Expansion

A kind of distribution selection method is researched for the right censored data situation. It can be widely applied in life sciences, medicine and health, reliability engineering, aerospace , social sciences and other related fields. By using a common PL estimation curve as a basic curve, a kind of distribution selection method is proposed to solve the parameter distribution problem of right censored data. This method can meet the selection requirement of data distribution in reliability assessment and other data analysis. It can guide the engineer and technician to choose a reasonable choice of the fitting of the data distribution, and it can improve the accuracy and efficiency of the reliability assessment.

scholarly journals Meta-Parameter Selection for Embedding Generation of Latency Spaces in Auto Encoder Analytics †

2021 ◽  
Vol 5 (1) ◽  
pp. 30
Author(s):  
Maria Walch ◽  
Peter Schichtel ◽  
Dirk Lehmann ◽  
Amala Paulson
Keyword(s):  
Data Analysis ◽  
Visual Analysis ◽  
Parameter Selection ◽  
Data Sets ◽  
Parameter Setting ◽  
Selection For

Picking an appropriate parameter setting (meta-parameters) for visualization and embedding techniques is a tedious task. However, especially when studying the latent representation generated by an autoencoder for unsupervised data analysis, it is also an indispensable one. Here we present a procedure using a cross-correlative take on the meta-parameters. This ansatz allows us to deduce meaningful meta-parameter limits using OPTICS, DBSCAN, UMAP, t-SNE, and k-MEANS. We can perform first steps of a meaningful visual analysis in the unsupervised case using a vanilla autoencoder on the MNIST and DeepVALVE data sets.

On Laplacian energy of picture fuzzy graphs in site selection problem

2021 ◽  
pp. 1-18
Author(s):  
Mahima Poonia ◽  
Rakesh Kumar Bajaj
Keyword(s):  
Decision Making ◽  
Site Selection ◽  
Upper Bounds ◽  
Selection Problem ◽  
Hydropower Plant ◽  
Fuzzy Graph ◽  
Fuzzy Information ◽  
Fuzzy Graphs ◽  
Laplacian Energy ◽  
Selection For

In the present work, the adjacency matrix, the energy and the Laplacian energy for a picture fuzzy graph/directed graph have been introduced along with their lower and the upper bounds. Further, in the selection problem of decision making, a methodology for the ranking of the available alternatives has been presented by utilizing the picture fuzzy graph and its energy/Laplacian energy. For the shake of demonstrating the implementation of the introduced methodology, the task of site selection for the hydropower plant has been carried out as an application. The originality of the introduced approach, comparative remarks, advantageous features and limitations have also been studied in contrast with intuitionistic fuzzy and Pythagorean fuzzy information.

Blob parameter selection for image representation

2015 ◽  
Vol 32 (10) ◽  
pp. 1898 ◽  
Author(s):  
Younes Benkarroum ◽  
Gabor T. Herman ◽  
Stuart W. Rowland
Keyword(s):  
Image Representation ◽  
Parameter Selection ◽  
Selection For
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