DEPARTMENT OF STATISTICS (Self Financing)
Education
Ph.D in Statistics 1995
University of Pune
Some contribution to functional estimation for Stochastic Processes
M.Phil in Statistics 1991
University of Pune
M.Sc in Statistsics 1981 - 1983
Cochin University of Science and Technology
B.Sc in Mathematics 1979 - 1981
Kerala University
Qualified for NET for Junior Research Fellowship 1989
Work experience
Associate Professor 1984 - Present
Dept. of Statistics, Farook College
Except between 1989-1992
Research Fellow 1989 - 1992
University of Pune
Area of interests
Inference in stochastic processes
Survival analysis
Density estimation
Non parametric inference
Research Guidance
M.Sc Projects
Farook College
Have handled 2 - 3 projects annually for the past 12 years
Ph.D Guidance
K.K.Hamsa 2009
Some contribution to Renewal Density Estimation
N.V Samiya 2013
Minimum likelihood distance method for Statistical inference
Research Publications in Peer Reviewed Journals
1. Ajitha T.K and P Anilkumar(2017). – Stochastic models for reservoir inflow simulation. International Journal of Statistics and applied mathematics. 2(6): 197-203
2. Ajitha T.K and P. Anilkumar(2017) – Predict the onset of South-West Monsoon. Kerala Journal of Tropical Agriculture 55(1): 31-39
3. T.Unnikrishnan, P.Anilkumar and Kadambot H.H.Siddique(2017) – Shift in date of onset of the South-West Monsoon in India from 146 years of data. Exploring the change in distribution using Non-Parametric Polynomial Estimation International Journal for Research in Applied Science and Engineering Technology 5(12): 668 – 673
4. P..Anilkumar and Semiya N.V(2013) – Refining Measure of Centre Tendency and Dispersion IOSR Journal of Mathematics 6(1): 1 – 4
5. P.Anilkumar and N.V Samiyya(2013) – Optimal Estimation Sequence for Hilbert Space Valued Parameter IOSR Journal of Mathematics 6(1): 53 – 58
6. P.Anilkumar(1994) – On estimating the mean function of a Gaussian Process Statistics and Probability Letters 19, 77-84
7. P. Anilkumar and U.V Nimbalkar(1995) – Maximum Modified Kernel Likelihood Estimation of the intensity for a counting process Analysis of Censored data, IMS Lecture Notes – Monograph series. Volume 27, 1-9