Mezbahur Rahman, Samah Al-thubaiti, Reid W Breitenfeldt, Jinzhu Jiang, Elliott B Light, Rebekka H Molenaar, Mohammad Shaha A Patwary, and Joshua A Wuollet – July 2016 – Page No.: 01-09
The Box-Cox transformation is a well known family of power transformations that brings a set of data into agreement with the normality assumption of the residuals and hence the response variable of a postulated model in regression analysis. In this paper we use six different data sets to implement adaptive maximum likelihood Box-Cox transformation parameter estimation in regression analysis. In addition, we perform random permutation and Monte-Carlo simulation to investigate the performances of the adaptive method.
- Page(s): 01-09
- Date of Publication: 31 July 2016
- Mezbahur Rahman
Minnesota State University, Mankato, MN 56001, USA. - Samah Al-thubaiti
Minnesota State University, Mankato, MN 56001, USA. - Reid W Breitenfeldt
Minnesota State University, Mankato, MN 56001, USA. - Jinzhu Jiang
Minnesota State University, Mankato, MN 56001, USA. - Elliott B Light
Minnesota State University, Mankato, MN 56001, USA. - Rebekka H Molenaar
Minnesota State University, Mankato, MN 56001, USA. - Mohammad Shaha A Patwary
Minnesota State University, Mankato, MN 56001, USA. - Joshua A Wuollet
Minnesota State University, Mankato, MN 56001, USA.
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Mezbahur Rahman, Samah Al-thubaiti, Reid W Breitenfeldt, Jinzhu Jiang, Elliott B Light, Rebekka H Molenaar, Mohammad Shaha A Patwary, and Joshua A Wuollet “A Note on Adaptive Box-Cox Transformation Parameter in Linear Regression” International Journal of Research and Innovation in Applied Science -IJRIAS vol.1 issue 4, pp.01-09 2016
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Suchita B. Patel, Dr. Samratvivekanand O Khanna – July 2016 – Page No.: 10-15
Mobile Adhoc Networks (MANET) is a set of wireless cellular nodes which creates transient network with none infrastructure. The channel is wi-fi, topology is dynamic so, there may be no clear line of defense. due to those motives, MANET constantly stays under extra danger to attacks. The Black hole assault is considered one of such safety issue in MANET. In a Black hole assault a malicious node replies with having a shortest path to destination and drops the send packet by way of supply node in preference to forwarding it to the vacation spot node. on this paper, we propose 2-tier trust based model to preventattacks by using calculating believe cost for source to destination in between hops as well as consider for course and store facts for routing motive. by using depended on routing protocol named 2-tier NTPTSAODV (Node accept as true with course accept as true with comfy AODV) affords at ease network transmission direction. The NTPTSAODV protocol has been implemented and simulated on NS-2. The overall performance of NTPTSAODV has been additionally analyzed with appreciate to Blackhole attack and examine with normal AODV, BAODV and NTPTSAODV.
- Page(s): 10-15
- Date of Publication: 31 July 2016
- Suchita B. Patel
Ph.D. Student, S. P. University,
Assistant Professor, ISTAR College, V.V.Nagar, Gujarat, India - Dr. Samratvivekanand O Khanna
Professor & Head, MSc(IT) Dept., ISTAR College, V.V Nagar, Gujarat, India
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Suchita B. Patel, Dr. Samratvivekanand O Khanna “2-Tier Trust Based Model Forintrusion Detection System in Mobile Adhoc Network” International Journal of Research and Innovation in Applied Science -IJRIAS vol.1 issue 4, pp.10-15 2016
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