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Notice Board

Date Notice
6/29/2016

Advertisement and related information for admission into the M.Sc. programme are online at 

http://www.caluniv-ucsta.net/pgadm/phpfiles/main.php. 

Deadline: July 7, 2016. 


5/28/2016

NOTICE 


M. Sc. 4th Semester students are required to submit hard copies of their project reports in duplicate at the Departmental Office by 10:30 a.m. of the date of the viva voce examination. Prior to that, they have to submit soft copies to Somnath Das at somsomn@gmail.com by 12 noon of Monday, June 6, 2016 mentioning Project Report in the subject line. 

The schedule for presentations on Monday, 3rd June, 2016 for Internal Assessment will be as follows: 

10:30 a.m. onwards: Groups 1 (i.e. those under MP, UB & SSR) & 2 (under BG, NKM & GC) 

2:30 p.m. onwards: Groups 3 (under AKC, KD & AS) & 4 (under RB, SSG & GC) 

The schedule for the viva voce examinations will be announced later. 

5/16/2016

NOTICE

Classes for M.Sc. Semester 2 are cancelled on Wednesday, May 18 and Friday, May 20, 2016 owing to M.Sc. 1st Semester Supplementary Examinations, 2015. 


4/27/2016


NOTICE: Ph.D. Thesis Defence Seminar

Ms. Natasa Dasgupta will deliver an open seminar to defend her Ph.D. thesis on Thursday, 28th April, 2016 at 2 pm in the Meeting Room of the Department, to be followed by the Ph.D. viva-voce. The title of her thesis is "Prediction Problems in Reliability Analysis".  

All are cordially invited to attend the seminar. 


4/20/2016

NOTICE

 

Prof. Narinder Kumar of the Department of Statistics, Panjab University, Chandigarh will be visiting the Department during April 25-27, 2016 Under the DSA Phase-II Visiting Scientist program. As part of the visit, Prof. Kumar will deliver two lectures. 


The details of the lectures are as follows: 


Lecture 1: Certain Aspects of Statistical Theory and Related Applications

(This lecture is intended for students)

Date & time: Tuesday, April 26, 2016 at 2:45 p.m.

Venue: Departmental Seminar Room

 

Lecture 2: On the Choice of the Best among Several Populations

Date & time: Wednesday, April 27, 2016 at 3 p.m.

Venue: Departmental Meeting Room

 

Abstract

In many practical situations the problem of subset selection is used. For example, a business concern using different advertising methods to enhance the sales prefers the advertising methods with more consistent sales among the methods having the same average yields. Likewise, in agriculture when the average yield of all the variables of a crop is same, the aim is to select more consistent varieties to be recommended for small and marginal farmers. Similarly in animal husbandry more consistent breeding methods are preferred among the breeding methods with the same average.

In all of the above situations, the need is to develop subset selection procedures to select a subset of the populations which includes the best population. The best population, under the above formulations, is the one with the least variability.

In literature, there are several approaches which deal with this area. In the present work, some approaches which are widely used are discussed. We develop a selection procedure, and tables of critical constants which are necessary to carry out the procedure are worked out. Performance of the proposed procedure in comparison to the existing procedure is assessed through simulation study. The proposed procedure is also illustrated with the help of a real life example.

Key words and phrases: Best Population; Probability of Correct Selection; Expected Subset Size; Simulation Study.

 

All are cordially invited to attend.


4/20/2016

NOTICE

 Prof. Dilip C. Nath of the Department of Statistics, Gauhati University, Assam will be visiting the Department during April 25-26, 2016 Under the DSA Phase-II Visiting Scientist program. As part of the visit, Prof. Nath will deliver two lectures.

The details of the lectures are as follows: 


Lecture 1: Representativeness of Ranked Set Sampling in Estimation of Population Proportion

(based on joint work with Vivek Verma, & Radhakanta Das)

Date & time: Tuesday, April 26, 2016 at 12:30 p.m.

Venue: Departmental Meeting Room 

Abstract

One of the main objectives after the selection of a sample through a sampling procedure is to know whether the obtained samples represent the population or not. This article discusses about the problem of comparing representativeness of samples in the estimation of unknown population proportion (p) of certain characteristics of a dichotomous population. Here samples are obtained through the technique of Ranked Set Sampling (RSS) and Simple Random sampling (SRS). The proposed procedure is also illustrated via a real-life data set of children below 3 years of age and our interest lies in estimation of proportion of them who are not currently nourished with mother’s milk. The comparison among the samples of SRS and RSS is done through the relative precision of the estimates (maximum likelihood and Bayes) and by comparing the B-scores obtained through Bayesian sets. The findings reveal that the estimate of proportion obtained using ranked set sample is found to be more efficient and representative of the population when the probability of success is considerably smaller.

 

 
Lecture 2: New Ageing Indices: An Application of Measuring Aging Process of Some Asian Countries with Special Reference to Bangladesh Population

(This lecture, based on joint word with M. Nazrul Islam, is intended for students)

Date & time: Tuesday, April 26, 2016 at 2 p.m.

Venue: Departmental Seminar Room

 

Abstract

Commonly used aging measures such as proportion of aged person, proportion of persons aged less than fifteen years, aging index (aged-child ratio) are based on simple head count ratio (HCR). HCR is a crude measure as it fails to give any idea about the tail distribution of population age. Here an attempt has been made to develop new aging indices (age gap, age distribution sensitive and generalized) taking into account both tails of population age distribution i.e., distribution of population aged under fifteen and sixty or more. These new indices have been applied to Bangladesh population based on data collected from secondary sources: UN international data base; International Data Base, US Census Bureau and Bangladesh Bureau of Statistics (BBS), for the year 1961, 1981 and 2001. Conventional aging indices have also been calculated and compared with new ones. Cross-country analysis has also been performed to study the sensitivity of aging indices. Analysis shows an increasing aging process and new indices indicate the process faster than conventional ones. For example, relative increases of aging process in 2001 compared to 1981 for conventional and new aging indices (aged-young age gap and aged-young distribution sensitive) are 28.97, 39.19 and 42.04 percent respectively. The findings also indicate that population aging in the peak is not clear but in the base it is evident. Again aging process with respect to sex and urban-rural is also different. From cross-country analysis it is found that new indices are more sensitive than conventional ones.

 

All are cordially invited to attend.


4/8/2016    

NOTICE

  

M.Sc. Semester 2 Mid-semester Examination Schedule, 2016

 

Date & time                                  Paper                                    Subject                                


Wednesday, 27.04.2016

11:00-12:00                             STAT 201                               Probability-II

13:30-14:30                             STAT 203                               Statistical Inference-II

16:00-17:00                             STAT 204                               Regression Analysis-I


Friday, 29.04.2016

11:30-13:00                             STAT 205                               Design of Experiments

 

Monday, 02.05.2016

11:30-12:30                             STAT 202                               Multivariate Analysis

14:00-15:00                             STAT 206                               Sample Surveys



3/25/2016

NOTICE 

Prof. Asha Gopalkrishnan of the Department of Statistics, Cochin University of Science & Technology (CUSAT), Kerala will be visiting the Department during March 27-31, 2016 Under the DSA Phase-II Visiting Scientist program. As part of the visit, Prof. Gopalkrishnan will deliver two lectures.

The details of the lectures are as follows:

Lecture 1: ON MODELLING SYSTEMS WITH CASCADING FAILURES

Abstract

The notion of cascading failures is a common phenomenon we observe around us. Here the initial failure alters the structure function of the system, which leads to subsequent failures within a short period of time referred to as threshold time. Freund (1961, A bivariate extension of the exponential distribution. Journal of the American Statistical Association, 56(296): 971-977) introduced an exponential distribution that allows modeling a parallel redundant system with two components. In this system the life time of the two components behave as if they are independent, until one of the components fails, after which the remaining component suffers increased/decreased stress. This model has been extended by Swift A. W (2008, Stochastic models of cascading failures. Journal of Applied Probability. 45(4): 907-921) to model cascading failures. A further generalization using the proportional hazards model for component failures, its various properties and statistical inference procedure will be discussed.

Date & time: Monday, March 28, 2016 at 4 p.m.

 

Lecture 2: RELIABILITY PROPERTIES OF AGE REPLACEMENT MODELS 

Abstract 

In this talk some basic reliability properties of an age replacement model will be discussed. Relationships between the mean time to failure (MTTF) of an age replacement model , its hazard rate and mean residual life will be revisited. An ordering based on MTTF of an age replacement model along with its implications on other existing orders will also be discussed.

Date & time: Wednesday, March 30,2016 at 3 p.m. 


All are cordially invited to attend. 


3/15/2016

NOTICE

The 2016 edition of the annual seminar STATQUEST will be held in the Department of Statistics, University of Calcutta on Friday, March 18, 2016. The programme is as follows

  • 10:30-10:45    :           Registration
  • 10:45-11:00    :           Inauguration
  • 11:00-11:40    :           Talk 1 by Expert: Business Analytics and Competitive Advantage (Speaker: Prof. Saibal Chattopadhyay, Director, IIMC)
  • 11:40-11:55    :           Tea
  • 11:55-13:15    :           Research Scholars’ presentations
  • 13:15-14:15    :           Lunch
  • 14:15-15:00    :           Talk 2 by Expert: 2^n Factorial Set-Up – Some Aspects (Speaker: Prof. Premadhis Das, Kalyani University)
  • 15:00-16:15    :           Research Scholars’ presentations
  • 16:15-16:30    :           Coffee 
Classes are cancelled on that day. 

3/7/2016

Department of Statistics, CU


NOTICE: Examination schedule


Date& time     Papers                         


8.3.2016


11:30 -- 12:30   STAT 401


14:00 -- 15:00  STAT 402


11.3.2016


11:30 -- 12:30  STAT 407/416/419


14:00 -- 15:00  STAT 417


 14.3.2016


11:30 -- 12:30  STAT 409/418/420


14:00 --15:00   STAT 421

1/3/2016


NOTICE

  

Classes for M.Sc. 1st Semester are cancelled on Monday, January 4, 2016. Normal classes will resume on Tuesday, January 5, 2016.

The 4th Semester of M. Sc. 2014-16 session will commence on Wednesday, January 6, 2016. The class routine will be shared either via email or given on the first day of classes, or both. 


12/12/2015

NOTICE

M.Sc. 3rd Semester Practical Examinations will be conducted as per the following schedule: 

Day    Date         Papers       Time   Viva papers 

Friday  18.12.15 301, 306 11:00 - 14:00 301, 302, 303, 306 

Tuesday 22.12.15 308, 312 11:00 - 14:30 307, 308, 312


12/2/2015

Seminar Notice

Title: Independent Component Analysis in the presence of unknown correlated Gaussian noise

Speaker: Prof. Rajesh Ranjan Nandy, University of North Texas, USA 

Date and time: Monday, December 07, 2015 at 4:30 p.m. 

Venue: Seminar Room, Department of Statistics, University of Calcutta 


Abstract 

Independent Component Analysis (ICA) is a computational method for separating a multivariate mixed signal into its original non-Gaussian sources. ICA algorithms were originally developed in the absence of any noise in the model and have later been extended with some success to incorporate the presence of white noise. However, no ICA algorithm has been developed so far for mixed signals in the presence of correlated noise with unknown covariance structure. A novel algorithm will be presented to solve this problem, where the conventional non-noisy ICA will be used to first estimate the number of independent sources and then to estimate the noise covariance matrix under the weak assumption of stationarity for the noise. Results will be presented using simulated data where it will be established that the proposed method provides superior extraction of original sources compared to non-noisy ICA algorithms as well as noisy ICA algorithms with white noise.


All are cordially invited. 

11/6/2015

NOTICE

 The schedule for M. Sc. Semester 1 midsemester examinations, 2015 has been revised. The altered schedule appears below. 

 

M. Sc. Semester 1 Mid-semester Examination Schedule, 2015 (Revised)

 

 Date & time                                  Paper                                    Subject                                

 

 

17.11.2015: 

 

11:30 -- 13:00                           STAT 103                              Statistical Inference I

 

14:00 -- 15:30                          STAT 102                               Probability 1

 

 

18.11.2015

 

11:30 -- 12:30                          STAT 104                               Linear Models

 

14:00 -- 15:00                          STAT 105                               Optimization Techniques 

 

 

11/4/2015


NOTICE

 

Semester 1 Mid-semester Examination Schedule, 2015

 

 

 

 

Date & time                                  Paper                                    Subject                                

 

 

17.11.2015: 

 

11:30 -- 13:00                          STAT 102                               Probability 1

 

14:00 -- 15:30                          STAT 103                               Statistical Inference I

 

 

18.11.2015

 

11:30 -- 13:00                          STAT 104                               Linear Models

 

14:00 -- 15:00                          STAT 105                               Optimization Techniques  



10/19/2015

NOTICE 

Applications are invited from M. Sc. 1st Semester students for possible cash award out of the Ram Bilas Barui Students' Benefit Fund of Calcutta Statistical Association (CSA) on need-cum-merit basis with need being the primary consideration. Students desirous of availing of the award are to apply to the Head, Department of Statistics, University of Calcutta by November 30, 2015 indicating 
  • Monthly family income 
  • Number of members in the family
  • Marks secured in the last University examination
  • Specific purpose for which the support is needed, or any other items of information that may be deemed relevant.  

The award is normally presented in the Annual General Meeting of CSA, typically held in the last week of December every year. 


10/2/2015

The final selection list for admission into the Ph. D. programme of the Department of Statistics, CU for the year 2015 is as follows: 

1. Madhumita Shome (General) 
2. Samopriyo Basu (General) 
3. Abhik Sinha (General) 
4. Pritam Sarkar (SC) 

The candidates should enroll with the Department within two weeks of publication of this list. They should meet the Head of the department for this purpose.

Classes will initially be held on Wednesdays and will commence from November 4, 2015. 

9/13/2015

Notice: Schedule for 3rd Semester midsemester tests, 2015

Day

Date

Time

Papers

Tue

15.9.15

11-12:30

301

Tue

15.9.15

2-3:30

302

Fri

18.9.15

11-12:30

303

Fri

18.9.15

2-3:30

304, 306

Mon

21.9.15

11-12:30

307, 308

Mon

21.9.15

2-3:30

310, 312


9/11/2015

NOTICE

The final selection list for the programme M. Phil. in Statistics and Computer Applications, 2015-17 session, is published in the University website. The following candidates are declared qualified for admission: 

1. Madhumita Shome 
2. Pallabi Ghosh 
3. Soumi Sinha 

Candidates wising to take admission should collect the fee book from the Department of Statistics on Tuesday, September 15, 2015 and get those countersigned for completing admission formalities by 18.09.2015, as per the notification. 

9/7/2015

NOTICE 

M.Sc. 3rd Semester classes are dissolved on Tuesday, 8th September 2015 at 1:30 p.m. on account of screening round of campus placement exercise by Genpact. 

8/28/2015

NOTICE

  Anaken School of Analytics will conduct a student seminar on 

Data Analytics – Scopes and Prospects

 

 on 28.08.2015 at 4:00 pm in the Department Seminar Room. All are invited.




8/25/2015
NOTICE

The following applicants to the M. Phil. in Statistics and Computer Applications programme for the 2015-17 session are herewith directed to report to the Departmental Office of the Department of Statistics, University of Calcutta, 35 Ballygunge Circular Road, Kolkata 700019 at 1:50 pm on Tuesday, September 1, 2015 for appearing in the selection interview. 

1. Pallabi Ghosh 
2. Soumi Sinha

8/25/2015
NOTICE

The following applicants to the Ph. D. in Statistics programme for 2015 are herewith directed to report to the Departmental Office of the Department of Statistics, University of Calcutta, 35 Ballygunge Circular Road, Kolkata 700019 at 1:45 pm on Monday, August 31, 2015 for appearing in the selection interview. 

1. Madhumita Shome 
2. Srimanti Dutta 
3. Samopriyo Basu 
4. Abhik Sinha 
5. Pritam Sarkar 
6. Arpan Ray 

Candidates are advised to carry their curriculum vitae and all relevant documents in support of their applications other than those verified on the day of the written test with them. 

8/14/2015

NOTICE

 

Based on performance in/exemption from the combined written test held on 11.08.2015 for the Ph.D. and M. Phil. programmes of the Department of Statistics, University of Calcutta, the following applicants are called to appear for interview for the course(s) shown against their names. The interview dates are Monday, August 31, 2015 for only Ph. D. or both programmes, and Tuesday, September 1, 2015 for only M. Phil. programe. The exact reporting time for each candidate will be notified by email later. Candidates are being informed separately.

Candidates for Ph.D. interviews are required to submit by email attachment to hodstatistics@gmail.com a Statement of Purpose (SoP) in about one page, no more than 450 words, indicating at least their areas of research interest. The deadline for submission of the SoP is Monday, August 24, 2015.

 

Sl. No.

Name

NET

GATE

Cat

Course(s) applied for

Called in interview for

 

1

Abhik Sinha

No

No

G

Ph. D.

Ph. D.

2

Pritam Sarkar

No

No

SC

Ph. D.

Ph. D.

3

Samopriya Basu

No

No

G

Ph. D.

Ph. D.

4

Arpan Ray

No

No

SC

Ph. D.

Ph. D.

5

Bidhan Chakraborty

Y

No

G

Ph. D.

Ph. D.

6

Anamitra Mandal

Y

No

SC

Ph. D.

Ph. D.

7

Madhumita Shome

No

No

G

M. Phil., Ph. D.

Both

8

Srimanti Dutta

No

No

G

M. Phil., Ph. D.

Both

9

Soumi Sinha

No

No

G

M. Phil., Ph. D.

M. Phil.

10

Pallabi Ghosh

No

No

G

M. Phil., Ph. D.

M. Phil.

8/13/2015

The schedule of the Admission Test for the M. Sc. in Statistics course (2015-17 session) has been announced as follows. 

Date: Wednesday, August 19, 2015

Time: 2-3 P.M. 

Venue: Taraknath Shiksha Prangan (Ballygunge Science College), University of Calcutta 


8/6/2015

NOTICE 

The following applicants to the Ph.D. and M.Phil. programmes for 2015 are required to appear in the common Ph.D.-M.Phil. written selection test to be held at 10 a.m. on August 11, 2015 in the Department of Statistics, University of Calcutta, Ballygunge Science College  (5th floor), 35 Ballygunge Circular Road, Kolkata 700019. The test is of two hours' duration. 

Candidates should bring original documents for verification. They should report at the Departmental Office by 9:30 a.m. on August 11 for the purpose.


Sl. No.

Course

Name

1

M. Phil

Dibya Kasturi Pattanayak

2

M. Phil

Debirupa Chanda

3

Both

Soumi Sinha

4

Both

Srimanti Dutta

5

Both

Pallabi Ghosh

6

Both

Madhumita Shome

7

Ph. D.

Ujjwal Roy

8

Ph. D.

Rajkumar Hazra

9

Ph. D.

Aniruddha Choudhuri

10

Ph. D.

Sagnik Kumar Bhadury

11

Ph. D.

Abhik Sinha

12

Ph. D.

Pritam Sarkar

13

Ph. D.

Samopriya Basu

14

Ph. D.

Somdutta Roy

15

Ph. D.

Ankita Chatterjee

16

Ph. D.

Arpan Ray


The following NET-qualified candidates are exempted from appearing in the written examination, and should bring original documents for verification at the time of interview. 

1. Bidhan Chakraborty 
2. Anamitra Mandal


7/23/2015

CORRIGENDUM NOTICE

The application deadline for admission into the Ph.D. programme has been extended to Wednesday, August 05, 2015 from Friday, July 24, 2015. Refer to the notification in the University website to confirm. 
7/20/2015

NOTICE

Applications are invited for admission into the programme M. Phil. in Statistics and Computer Applications of University of Calcutta for the 2015-2017 session. For details, see the 

Admission Notice 

in the University website. Application deadline is August 5, 2015. 


7/14/2015

M.Sc. ADMISSION NOTICE

Advertisement for admission into the M.Sc. programme (2015-2017 session) is published in the University website. For details, click here.
7/14/2015

NOTICE

Applications are invited for admission into the Ph.D. programme of the Department of Statistics, University of Calcutta for the year 2015. For details, see the 

advertisement in the University website

Last date of application: July 24, 2015. 
7/7/2015
NOTICE 

The Department of Statistics, in collaboration with Calcutta Statistical Association, will organize the Ninth International Triennial Calcutta Symposium during December 28-31, 2015. For further details, visit 

 http://triennial.calcuttastatisticalassociation.org/sympBrochure.php 
7/7/2015

SEMINAR NOTICE

Speaker: Professor Jyotirmoy Sarkar, Department of Mathematical Sciences, Indiana University-Purdue University Indianopolis (IUPUI), USA 

Title: Random Walk on a Polygon

Abstract: A particle moves among the vertices of an (m+1)-gon which are labeled clockwise as 0, 1, ..., m. The particle starts at 0 and thereafter at each step it moves to the adjacent vertex, going clockwise with a known probability p, or counterclockwise with probability 1. The directions of successive movements are independent. What is the expected number of moves needed (1) to return to 0, (2) to visit all vertices, (3) to return to 0 after visiting all vertices? We answer these and other related questions using recursive relations.

Date and time: 4 p.m., on Thursday, July 16, 2015.  

Venue: Departmental Seminar Room, Department of Statistics

All are cordially invited to attend. 

Department of Statistics University of Calcutta 35, Bullygunge Circular Road,PIN -700 019,Kolkata (Calcutta),West Bengal,INDIA .Phone: +91 (33) 2475 3681/82 Fax: +91 (33) 2476 4419