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<title>Vol. 01, No. 1, July 2006</title>
<link>http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/206</link>
<description/>
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<dc:date>2026-04-23T16:44:17Z</dc:date>
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<item rdf:about="http://dspace.daffodilvarsity.edu.bd:8080/handle/20.500.11948/560">
<title>Waiting Line System in Health Sector of Bangladesh:  The Case of Dental Care Services in Dhaka City</title>
<link>http://dspace.daffodilvarsity.edu.bd:8080/handle/20.500.11948/560</link>
<description>Waiting Line System in Health Sector of Bangladesh:  The Case of Dental Care Services in Dhaka City
Rahman, Mohammad Anisur; Parvez, Mahbub
Waiting is inevitable in any service organization. Hence queues are formed. A long&#13;
queue makes customer dissatisfied whereas increasing server to decrease the length of a queue&#13;
requires costs. Waiting Line Theory provides a platform to that notion. The health sector of&#13;
Bangladesh has been facing a bad experience for any citizen of Bangladesh. One of the reasons&#13;
behind this is the queuing system prevailing in this sector. This paper presents an investigation&#13;
into the prevailing queuing system in the private practices of Dhaka city. On the basis of&#13;
investigation suggestions are put forward to improve the situation.
</description>
<dc:date>2006-07-01T00:00:00Z</dc:date>
</item>
<item rdf:about="http://dspace.daffodilvarsity.edu.bd:8080/handle/20.500.11948/559">
<title>The Serial Cartel: A Mathematical Model of          Taxicab Services Market</title>
<link>http://dspace.daffodilvarsity.edu.bd:8080/handle/20.500.11948/559</link>
<description>The Serial Cartel: A Mathematical Model of          Taxicab Services Market
Alam, S.M. Ikhtiar
In many developing countries and in some small cities in many developed&#13;
countries, we find taxicabs without meters. These taxicab drivers sometimes form a cartel&#13;
to avoid competition among themselves. They stand in a queue serially one by one. Only&#13;
the first driver in the queue can pick up a passenger. The second driver will wait until the&#13;
first driver leaves the queue. That is, these taxicab operators offer their services serially&#13;
one by one. They are free to quote any price for a trip they want and can wait as long as&#13;
they want to get an acceptable passenger. But if they wait, they incur a waiting cost. If a&#13;
driver quotes a price and the passenger does not accept it and leaves the market or waits&#13;
for the next cab, then the driver has to wait to get another passenger and as a result, his&#13;
waiting cost increases. Such a cartel can be best described as a Serial Cartel. A serial&#13;
cartel can be of two types on the basis of its continuity: (1) Discontinuous Serial Cartel,&#13;
and (2) Continuous Serial Cartel. Discontinuous serial cartels are formed where demand&#13;
is temporary. On the other hand, continuous serial cartels are formed where demand is&#13;
permanent. These serial cartels have many features which are not present in other forms&#13;
of cartels available in the existing literature. This paper presents two models of serial&#13;
cartels of taxicab services market ⎯ one is a Discontinuous Serial Cartel Model, and the&#13;
other one is a Continuous Serial Cartel Model. The two models are based on some&#13;
plausible assumptions and two hypotheses about the willingness of passengers to pay for&#13;
taxicab services. The models use differentiable negative exponential probability&#13;
distribution functions to measure the willingness of the passengers. It is found that the&#13;
equilibrium price, supply function, optimal size of a serial cartel, entry decision of a&#13;
driver, and welfare effects of these serial cartels are totally different from the basic&#13;
features of the centralized and market sharing cartels.
</description>
<dc:date>2006-07-01T00:00:00Z</dc:date>
</item>
<item rdf:about="http://dspace.daffodilvarsity.edu.bd:8080/handle/20.500.11948/558">
<title>Strengths and Limitations of Different Teaching Modes:                 A Comparative Study</title>
<link>http://dspace.daffodilvarsity.edu.bd:8080/handle/20.500.11948/558</link>
<description>Strengths and Limitations of Different Teaching Modes:                 A Comparative Study
Saha, Mili; Talukdar, Md. Ali Rezwan
Whether in language teaching or elsewhere, sustainable attainment of a&#13;
pedagogical goal is closely related to a successful teaching mode. In a bid to have a&#13;
gambit in a teaching procedure with a proper choice of a teaching mode, a teacher is&#13;
expected to be well acquainted with the strengths and limitations of the prevailing&#13;
teaching modes. Regarding this, over the years researchers have made efforts in exploring&#13;
the immense ideological horizons, while in our country, still, lecture mode is the most&#13;
commonly found one. Along with making thorough study of different aspects of various&#13;
teaching modes, this current study scrutinizes some practical cases and examples in the&#13;
academic context of Bangladesh. It attempts to recommend the optimum success level of&#13;
lecture mode and to which extent lecture mode needs to be alternated or to be assimilated&#13;
with others as well as how to minimize the weakness of it and ensure the maximum&#13;
potentiality of the other teaching modes, basing on the established ideas in this field and&#13;
the empirical studies done by these authors.
</description>
<dc:date>2006-07-01T00:00:00Z</dc:date>
</item>
<item rdf:about="http://dspace.daffodilvarsity.edu.bd:8080/handle/20.500.11948/557">
<title>Second Order Biases and Mean Squared Errors of Some       Estimators Using Single Auxiliary Variable</title>
<link>http://dspace.daffodilvarsity.edu.bd:8080/handle/20.500.11948/557</link>
<description>Second Order Biases and Mean Squared Errors of Some       Estimators Using Single Auxiliary Variable
Hossain, M. I.; Rahman, Masud Ibn; Tareq, Muhammad
The ratio, product, chain ratio, chain product, chain regression and ratio-cum&#13;
product estimators have been considered by Chand (1975), Kiregyera (1980, 1984),&#13;
Upadhyaya et. al. (1990, 1992), Srivastava et. al. (1990), Prasad et. al. (1992), Sahoo and&#13;
Sahoo (1993), Singh (1993). Most of them discussed these estimators along with their first&#13;
order bias and mean square error. In this paper, we have tried to find out the second order&#13;
biases and mean square errors of these estimators based on simple random sampling. Finally,&#13;
we have compared the performance of these estimators with some numerical illustration.s.
</description>
<dc:date>2006-07-01T00:00:00Z</dc:date>
</item>
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