A New Statistical Approach to Predicting Aromatic Hydroxylation Sites. Comparison with Model-Based Approaches

2004 ◽  
Vol 44 (6) ◽  
pp. 1998-2009 ◽  
Author(s):  
Yu. Borodina ◽  
A. Rudik ◽  
D. Filimonov ◽  
N. Kharchevnikova ◽  
A. Dmitriev ◽  
...  
Keyword(s):  
Statistical Approach ◽  
Model Based ◽  
Aromatic Hydroxylation

A New Statistical Approach to Predicting Aromatic Hydroxylation Sites. Comparison with Model-Based Approaches.

ChemInform ◽  
2005 ◽  
Vol 36 (6) ◽  
Author(s):  
Yu. Borodina ◽  
A. Rudik ◽  
D. Filimonov ◽  
N. Kharchevnikova ◽  
A. Dmitriev ◽  
...  
Keyword(s):  
Statistical Approach ◽  
Model Based ◽  
Aromatic Hydroxylation

scholarly journals A Statistical Approach to Model the H-Index Based on the Total Number of Citations and the Duration from the Publishing of the First Article

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Mohammad Reza Mahmoudi ◽  
Marzieh Rahmati ◽  
Zulkefli Mansor ◽  
Amirhosein Mosavi ◽  
Shahab S. Band
Keyword(s):  
Nonlinear Regression ◽  
Research Funding ◽  
Statistical Approach ◽  
Practical Approach ◽  
H Index ◽  
Model Based ◽  
Funding Agencies ◽  
Number Of Citations ◽  
The Impact

The productivity of researchers and the impact of the work they do are a preoccupation of universities, research funding agencies, and sometimes even researchers themselves. The h-index (h) is the most popular of different metrics to measure these activities. This research deals with presenting a practical approach to model the h-index based on the total number of citations (NC) and the duration from the publishing of the first article (D1). To determine the effect of every factor (NC and D1) on h, we applied a set of simple nonlinear regression. The results indicated that both NC and D1 had a significant effect on h ( p  < 0.001). The determination of coefficient for these equations to estimate the h-index was 93.4% and 39.8%, respectively, which verified that the model based on NC had a better fit. Then, to record the simultaneous effects of NC and D1 on h, multiple nonlinear regression was applied. The results indicated that NC and D1 had a significant effect on h ( p  < 0.001). Also, the determination of coefficient for this equation to estimate h was 93.6%. Finally, to model and estimate the h-index, as a function of NC and D1, multiple nonlinear quartile regression was used. The goodness of the fitted model was also assessed.

scholarly journals New Synonyms Extraction Model Based on a Novel Terms Weighting Scheme

2021 ◽  
Vol 45 (1) ◽  
pp. 171-221
Author(s):  
Ahmed Ababneh ◽  
Joan Lu ◽  
Qiang Xu
Keyword(s):  
Statistical Approach ◽  
Linear Time ◽  
Semantic Space ◽  
Weighting Scheme ◽  
New Method ◽  
Bag Of Words ◽  
Model Based ◽  
New Synonyms ◽  
Arabic And English ◽  
Extraction Model

The traditional statistical approach in synonyms extraction is time-consuming. It is necessary to develop a new method to improve the efficiency and accuracy. This research presents a new method in synonyms extraction called Noun Based Distinctive Verbs (NBDV) that replaces the traditional tf-idf weighting scheme with a new weighting scheme called the Orbit Weighing Scheme (OWS). The OWS links the nouns to their semantic space by examining the singular verbs in each context. The new method was compared with important models in the field such as the Skip-Gram, the Continuous Bag of Words, and the GloVe model. The NBDV model was manipulated over the Arabic and English languages and the results showed 47% Recall and 51% Precision in the dictionary-based evaluation and 57.5% Precision in the human experts’ evaluation. Comparing with the synonyms extraction based on tf.idf, the NBDV obtained 11% higher recall and 10% higher precision. Regarding the efficiency, we found that on average, the synonyms extraction of a single noun requires the process of 186 verbs and in 63% of the runs; the number of singular verbs was less than 200. It is concluded that the developed method is efficient and processes the single run in linear time.

scholarly journals CRSCNV: A Cross-Model-Based Statistical Approach to Detect Copy Number Variations in Sequence Data

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 2302-2312
Author(s):  
Guojun Liu ◽  
Xiguo Yuan ◽  
Junying Zhang ◽  
Haiyong Zhao ◽  
Junping Li ◽  
...  
Keyword(s):  
Copy Number ◽  
Statistical Approach ◽  
Sequence Data ◽  
Copy Number Variations ◽  
Cross Model ◽  
Model Based

scholarly journals Real estate evaluation model based on the method of least squares

2010 ◽  
Vol 7 (2) ◽  
pp. 155-162
Author(s):  
Jacek Zyga
Keyword(s):  
Real Estate ◽  
Least Squares ◽  
Statistical Approach ◽  
Least Squares Method ◽  
Evaluation Model ◽  
Market Value ◽  
Real Estate Market ◽  
Method Of Least Squares ◽  
Model Based

 New way of estimating of real estate market value, based on the least squares method, was presented in the article. Testing of applying same ideas of statistical approach into the routine way of appraisal of particular immovable estate shown that the proposed way of valuation is under some circumstances as good as the “in-pairs comparing” method, the most universal one from among methods of comparing approach. Although “in-pairs comparing” method is regarded as the most accurate one, conducted experiments clearly shown its own, inherent limits, that radically restrict the field of its use.

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