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
9457465252
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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
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S .No
01.
02.
03.
04.
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Name
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Designation
Professor & HOD
Professor
Professor
Professor
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Qualifications
M.Stat, Ph.D
M.Sc, Ph.D., UGC-NET
M.Stat, M.C.A, Ph.D.
M.Stat, Ph.D.
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Courses
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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
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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 |
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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
ten international 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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