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 Department / Institute Contact Information
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HOD
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Address
Department of
Statistics,
Institute of Social
Sciences
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Phone
05624004470
9410002811 |
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Email
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About Department
· The department of statistics was established as a constituent department of the Institute
of Social Sciences in the year 1956 under eminent statistician Professor Desraj.
Illustrious academicians such as Prof. B.P. Adikari, Prof. D.D.Joshi, Prof. V.K.Sethi
are among several renowned intellectuals who have served this department.
· This department is second oldest in Uttar Pradesh and third in North India. Since the
inception the thrust has been to study and impart training in statistical applications in
various fields, social sciences in particular. In 1977, the department designed the first
course in computer applications in the university when there were no computers in the
university. The assistance of AMU was taken for arranging practice sessions on their
mainframe systems for the statistics. The department has the distinction of installing
the first mainframe computer in 1985. Since then the department has been imparting
training in computer applications. Presently, the department runs M.Stat. and M.Phil
(Statistics) courses.
Curricular Aspects
· Students of M.Phil are required to complete four theory papers and one dissertation on
recent developments in statistical theory and practice. M.Stat. students have to
undertake twelve theory courses, four practicals, one comprehensive viva-voce and
one project work.
Evaluation and learning process
· The educational pattern of the department is based upon semester system. Besides end
semester examinations, the students are evaluated through various other components
evaluation eg. Regular sessional tests, seminars, assignments etc.
Infrastructure
· The department has been equipped computer lab. The departments books are
maintained in Institute of Social Sciences library.
Research
· The department offers Ph.D. and D.Sc. programs in statistics. Students are engaged in
research in the fields of Survey Sampling, Design of Experiments, Statistical
Inference, Economic Statistics, Demography, Bio Statistics, Operation Research,
Poverty Measurement, Data-Mining, Marketing Statistics etc.
Faculties |
S .No
01.
02.
03.
04.
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Name
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Designation
Professor
Professor
Professor & HOD
Reader |
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Qualifications
M.Stat, Ph.D
M.Sc, Ph.D., UGC-NET
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Courses |
Courses Name
M.Stat.
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Syllabus
Semester I
C:-I-Computer
Sciences I
C:-II-Real Analysis
and Matrices
C:-III-Sampling
Theory
Practical
Semester II
C:-IV-Estimation
Theory
C:-V-Linear Estimation
and Design of
Experiments
C:-VI-Probability and
Distribution Theory
Practical
Semester III
C:-VII-Testing of
Hypothesis
C:-VIII-Multivariate
Statistics and
Sequential Methods
C:-IX- Optional I
Practical
Semester IV
C:-X-Probability Limit
Theorems and
Stochastic Processes
C:-XI-Computer
Science II
C:XII-Optional – II
Practical
Project Work
Comprehensive Viva
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Duration
2 Years (4
Semester) |
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Minimum – Eligibility
Bachelor’s Degree
with Mathematics
OR
Statistics as one of
the subjects with
at least 45% of
marks
OR
Master’s Degree
in Mathematics or
Statistics with
45% marks |
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Admission Procedure
Past Academic
Record and
Interview |
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No of Seats
25
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M.Phil |
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Semester I
Compulsory Paper:
Probability and
Inference
Optional I
Semester II
Optional II
Optional III
Dissertation |
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1 Year (2
Semester) |
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Master’s Degree
in Statistics with
atleast 55%
marks |
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Written
Test and
Interview |
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15 |
D.Sc.
(Stats) |
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As per UGC/University Norms |
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Ph.D(Stats) |
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As per UGC/University Norms |
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Research Area
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Applied Statistics, Survey Sampling, Design of Experiments, Statistical Inference,
Optimization Technique |
Achievements Regarding department
The department has contributed pioneering work particularly in the field of Information
Theory, Stylometry and Social Mobility. The department has organized more then teninternational seminars and conferences on Mathematical Statistics, Software Applications and
Computational Techniques.
It has developed several poverty indices undernourishment indices, product preference
indices, Decision making indices for Inventory Management Systems and Queuing systems.
The department has major contribution in
· The construction of Design of Experiments
· Optimal Stratification Techniques in Survey Sampling, on the use of auxiliary
information for the development of superior estimation techniques in survey sampling.
· Application of statistical techniques in data mining.
Recently researchers are being carried out on prediction and super population models and
Bayesian Techniques in finite population estimation.
More recently, the department has shown interest on the use of computer aided statistical
techniques used by researchers of various disciplines and has organized several
workshops.
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