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Publisher: CCSE   (Total: 41 journals)   [Sort by number of followers]

Showing 1 - 41 of 41 Journals sorted alphabetically
Applied Physics Research     Open Access   (Followers: 6)
Asian Culture and History     Open Access   (Followers: 15)
Asian Social Science     Open Access   (Followers: 8)
Cancer and Clinical Oncology     Open Access   (Followers: 6)
Computer and Information Science     Open Access   (Followers: 14)
Earth Science Research     Open Access   (Followers: 9)
Energy and Environment Research     Open Access   (Followers: 12)
Engineering Management Research     Open Access   (Followers: 7)
English Language and Literature Studies     Open Access   (Followers: 20)
English Language Teaching     Open Access   (Followers: 31)
Environment and Natural Resources Research     Open Access   (Followers: 7)
Environment and Pollution     Open Access   (Followers: 12)
Global J. of Health Science     Open Access   (Followers: 10, SJR: 0.416, CiteScore: 1)
Higher Education Studies     Open Access   (Followers: 58)
Intl. Business Research     Open Access   (Followers: 7)
Intl. Education Studies     Open Access   (Followers: 10)
Intl. J. of Biology     Open Access   (Followers: 2)
Intl. J. of Business and Management     Open Access   (Followers: 21)
Intl. J. of Chemistry     Open Access   (Followers: 12)
Intl. J. of Economics and Finance     Open Access   (Followers: 16)
Intl. J. of English Linguistics     Open Access   (Followers: 12)
Intl. J. of Marketing Studies     Open Access   (Followers: 20)
Intl. J. of Psychological Studies     Open Access   (Followers: 5)
Intl. J. of Statistics and Probability     Open Access   (Followers: 5)
J. of Agricultural Science     Open Access   (Followers: 12)
J. of Education and Learning     Open Access   (Followers: 3)
J. of Educational and Developmental Psychology     Open Access   (Followers: 17)
J. of Food Research     Open Access   (Followers: 3)
J. of Geography and Geology     Open Access   (Followers: 15)
J. of Management and Sustainability     Open Access   (Followers: 8)
J. of Materials Science Research     Open Access   (Followers: 8)
J. of Mathematics Research     Open Access   (Followers: 6)
J. of Molecular Biology Research     Open Access   (Followers: 3)
J. of Plant Studies     Open Access   (Followers: 1)
J. of Politics and Law     Open Access   (Followers: 11)
J. of Sustainable Development     Open Access   (Followers: 22)
Mechanical Engineering Research     Open Access   (Followers: 17)
Modern Applied Science     Open Access   (Followers: 2)
Network and Communication Technologies     Open Access   (Followers: 4)
Review of European Studies     Open Access   (Followers: 11)
Sustainable Agriculture Research     Open Access   (Followers: 3)
Similar Journals
Journal Cover
International Journal of Statistics and Probability
Number of Followers: 5  

  This is an Open Access Journal Open Access journal
ISSN (Print) 1927-7032 - ISSN (Online) 1927-7040
Published by CCSE Homepage  [41 journals]
  • A Characterization and Recurrence Relations of Moments of the Size-Biased
           Power Function Distribution by Lower Record Values

    • Authors: Shakila Bashir, Mujahid Rasul
      First page: 1
      Abstract: A variety of research papers have been published on record values from various continuous distributions. This paper investigated lower record values from the size-biased power function distribution (LR-SPFD). Some basic properties including moments, skewness, kurtosis, Shannon entropy, cumulative distribution function, survival function and hazard function of the lower record values from SPFD have been discussed. The joint probability density function (pdf) of $n^{th}$ and $m^{th}$ lower record values from SPFD is developed. Recurrence relations of the single and product moments of the LR-SPFD have been derived. A characterization of the lower record values from SPFD is also developed.
      PubDate: 2018-06-26
      DOI: 10.5539/ijsp.v7n5p1
      Issue No: Vol. 7, No. 5 (2018)
       
  • Adaboost-SVM Multi-Factor Stock Selection Model Based on Adaboost
           Enhancement

    • Authors: Ru Zhang, Zi-ang Lin, Shaozhen Chen, Min Zhao, Mingjie Yuan
      First page: 9
      Abstract: In recent years, the applications of machine learning techniques to perfect traditional financial investment models has gained a widespread attention from the academic circle and the financial industry. This paper takes CSI300 stocks as the object of the research, uses Adaboost to enhance the classification ability of original linear support vector machine, and combines all major factors to build Adaboost-SVM multi-factor stock selection model based on Adaboost enhancement. In the backtesting analysis, the stock selection strategy of original linear support vector machine was compared with the Adaboost-SVM multi-factor stock selection strategy based on Adaboost enhancement. The result shows that the Adaboost-SVM multi-factor stock selection strategy based on Adaboost enhancement possesses stronger profitability and smaller income fluctuation than the original algorithm model.
      PubDate: 2018-06-27
      DOI: 10.5539/ijsp.v7n5p9
      Issue No: Vol. 7, No. 5 (2018)
       
 
 
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