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Department of Statistics

Department / Institute Contact Information

HOD

Prof. Diwakar Khare

Address

Department of
Statistics,
Institute of Social
Sciences

Phone

9457465252

Email

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.

Name

Prof. Diwakar Khare
Prof. Meenakshi Srivastava
Prof. Vineeta Singh
Prof. Manoj Kumar Srivastava

 

Designation

Professor & HOD 
Professor 
Professor  
Professor

 

Qualifications

M.Stat, Ph.D
M.Sc, Ph.D., UGC-NET
M.Stat, M.C.A, Ph.D.
M.Stat, Ph.D.

Courses

Courses Name


M.Stat.

 

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

 

Duration

2 Years (4
Semester)

 

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
 

Admission Procedure

Past Academic
Record and
Interview

 

No of Seats


25

M.Phil

 

Semester I
Compulsory Paper:
Probability and
Inference
Optional I
Semester II
Optional II
Optional III
Dissertation

 

1 Year (2
Semester)

 

Master’s Degree
in Statistics with
atleast 55%
marks

 

Written
Test and
Interview

 

15

D.Sc.
(Stats)
      As per UGC/University Norms            

Ph.D(Stats)

 

 

As per UGC/University Norms

 

 

 

 

 

 

Research Area

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 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