Grey New Information GRM(1,1) Model Based on Accumulated Generating Operation of Reciprocal Number and its Application

2012 ◽  
Vol 426 ◽  
pp. 77-80 ◽  
Author(s):  
You Xin Luo

Monotonically decreasing sequence data for the traditional modeling method using the gray model accuracy is not high, using Accumulated Generating Operation in reciprocal number, utilize three gray derivative processing method is deduced and the parameters optimization grey derivative calculation formula, and then established GRM(1,1) based on accumulated generating operation in reciprocal number on the equidistance, Gray provides a new method of modeling. Data processing examples show that the model's practicality and reliability.

2012 ◽  
Vol 426 ◽  
pp. 81-84
Author(s):  
W.Y. Xiao ◽  
Y.Y. Luo ◽  
Xiao Yi Che

Monotonically decreasing sequence data for the traditional modeling method using the gray model accuracy is not high , and GM (1, 1) modeling method has inherent deviation , Model does not meet the compatibility condition, using Accumulated Generating Operation in reciprocal number ,make best use of last information and GM (1, 1) modeling , is deduced and the parameters optimization grey derivative calculation formula ,and then established GRM(1,1) based on accumulated generating operation in reciprocal number on the equidistance, Gray provides a new method of modeling . Data processing examples show that the model's practicality and reliability.


2012 ◽  
Vol 507 ◽  
pp. 265-268 ◽  
Author(s):  
You Xin Luo ◽  
De Gang Liao

Monotonically decreasing sequence data for the use of traditional modeling methods to establish the grey model accuracy is not high, grey GM (1,1) model, there is a deviation, the model does not meet the conditions for coordination, generated using the definition of reverse accumulation, full use of system information and unbiased grey GM (1,1) model parameters of the model derived formula, based on reverse incremental build new interest generated by an unbiased model grey GOM (1,1) model for the grey model provides a new method. Data processing examples show that the model's practicality and reliability.


2020 ◽  
Vol 2 (1) ◽  
pp. 13-15
Author(s):  
Adi Sucipto ◽  
Hasanuddin Remmang ◽  
Haeruddin Saleh

Penelitian ini bertujuan menguji pengaruh Etika Pegawai, Pelayanan Publik dan Reformasi Birokrasi terhadap Penerapan Zona Integritas. Pengaruh Etika Pegawai, Pelayanan Publik dan Reformasi Birokrasi terhadap Penerapan Zona Integritas pada Lembaga Pemasyarakatan Kelas I Makassar Responden dalam penelitian ini adalah Pengunjung dan keluarga nara-pidana Lembaga Pemasyarakatan Kelas I Makassar. Jumlah pengunjung yang menjadi sampel penelitian ini adalah 55 orang. Metode penentuan sampel yang digunakan dalam penelitian ini adalah Simple Random Sampling, sedangkan metode pengolahan data yang digunakan peneliti adalah analisis regresi berganda. Hasil penelitian ini menunjukkan bahwa Etika Pegawai dan Pelayanan Publik berpengaruh signifikan terhadap Penerapan Zona Integritas di Lembaga Pemasyarakatan Kelas I Makassar.     This study examines the effect of employee ethics and the improvement of public services on the implementation of the integrity zone. The effect of employee ethics, and improvement of public services on the implementation of integrity zone on Lembaga Pemasyarakatan Kelas 1 Makassar. Respondents in this study were Makassar class in penitentiary visitors. the number of visitors who sampled this study was 55 people. the method of determining the sample used in this study is simple random sampling, while the data processing method used by researchers is multiple regression analysis. the results of this study indicate that employee ethics and public services have a significant effect on the implementation of the integrity zone in Makassar class in penitentiary.


2013 ◽  
Vol 35 (6) ◽  
pp. 685-694
Author(s):  
Ting-Zhang WANG ◽  
Gao SHAN ◽  
Jian-Hong XU ◽  
Qing-Zhong XUE

GigaScience ◽  
2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Taras K Oleksyk ◽  
Walter W Wolfsberger ◽  
Alexandra M Weber ◽  
Khrystyna Shchubelka ◽  
Olga T Oleksyk ◽  
...  

Abstract Background The main goal of this collaborative effort is to provide genome-wide data for the previously underrepresented population in Eastern Europe, and to provide cross-validation of the data from genome sequences and genotypes of the same individuals acquired by different technologies. We collected 97 genome-grade DNA samples from consented individuals representing major regions of Ukraine that were consented for public data release. BGISEQ-500 sequence data and genotypes by an Illumina GWAS chip were cross-validated on multiple samples and additionally referenced to 1 sample that has been resequenced by Illumina NovaSeq6000 S4 at high coverage. Results The genome data have been searched for genomic variation represented in this population, and a number of variants have been reported: large structural variants, indels, copy number variations, single-nucletide polymorphisms, and microsatellites. To our knowledge, this study provides the largest to-date survey of genetic variation in Ukraine, creating a public reference resource aiming to provide data for medical research in a large understudied population. Conclusions Our results indicate that the genetic diversity of the Ukrainian population is uniquely shaped by evolutionary and demographic forces and cannot be ignored in future genetic and biomedical studies. These data will contribute a wealth of new information bringing forth a wealth of novel, endemic and medically related alleles.


2021 ◽  
Vol 172 ◽  
pp. 112737
Author(s):  
Jinxin Wang ◽  
Zhimin Liu ◽  
Yuanzhe Zhao ◽  
Yahong Xie ◽  
Yuanlai Xie

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