Dear Colleague,

Statistics, Optimization & Information Computing (ISSN 2310-5070) has published its latest issue at http://www.iapress.org/index.php/soic.  
We invite you to review the Table of Contents here and then visit our web 
site for items of interest. 

Statistics, Optimization and Information Computing (SOIC) aims to publish interdisciplinary work at the interface of statistics, optimization & information sciences, and will appear in four issues annually.  
SOIC has been indexed in Mathematical Reviews, MathSciNet and Google Scholar. 
SOIC is entirely not-for-profit. Accepted paper will be published online free of charge. Papers are requested to be submitted for consideration of possible publication via online submission link on SOIC’s website.

Thanks for your support and continuing interest in our work.

Best wishes,

Prof. David G. Yu
soic.iapress@gmail.com
Coordinating Editor, SOIC
Statistics, Optimization & Information Computing

Vol 2, No 4 (2014) Table of Contents
http://www.iapress.org/index.php/soic/issue/current

Research Articles:

Efficient Binary Linear Programming Formulations for Boolean Functions (pp. 274-279)
Frank Gurski 

Multiobjective Fractional Programming Problems and Second Order Generalized Hybrid Invexity Frameworks (pp. 280-304)
Ram Verma

Estimation of the reliability function for two-parameter exponentiated 
Rayleigh or Burr type X distribution (pp. 305-322)
Anupam Pathak, Ajit Chaturvedi 

Stochastic Funding of a Defined Contribution Pension Plan with Proportional 
Administrative Costs and Taxation under Mean-Variance Optimization Approach (pp. 323-338)
Charles I Nkeki 

A Fast Algorithm for Using Semi-Parametric Random Effects Model for 
Analyzing Longitudinal Data (pp. 339-351)
Taban Baghfalaki, Mojtaba Ganjali 

Inexact Accelerated Proximal Gradient Algorithms For Matrix l_{2,1}-Norm 
Minimization Problem in Multi-Task Feature Learning (pp. 352-367)
Yaping Hu, Zengxin Wei, Gonglin Yuan

Scientific Report from Engineering and Practice:
Innovation Goals in Software Development for Business Applications (pp. 368-383)
Robert Arnold, Reza Shadnam

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