Abstract
This study aims to evaluated the user satisfaction of retrieval services
concerning to universities thesis and dissertations in university dissertation
unit of Baghdad Library for achieving the following objectives:
1- Evaluating the performance of this unit (thesis unit of Baghdad University
Library) regarding to users opinion.
2- Recognizing the reasons in this unit behind the case of non satisfaction of
its users and trying to find the suitable solutions.
To achieve those two objectives, the questionnaire tool was performed
and determined the user's satisfaction level by using a sample survey. 1118
graduated students were subjected to this experiment. The following main
results were appeared:
§ The satisfaction level of the service was 77% for Ph.D. students, and 82%
for M.Sc students, those two percentage rates were considered are good
for this service.
§ The non satisfaction reasons for this service could be assigned into
following :
- Non conformance the language of users and the system language.
- There are many thesis and dissertations which related to users need but
did not retrieved by the system.
This study instructed the following:
v Improving the retrieval system particularly which it is related to the subject
analysis to make the system language mach with the user language.
v Data Base should be established for all of those university thesis and
dissertations and it must be accessible on the internet.
The acceptance sampling plans for generalized exponential distribution, when life time experiment is truncated at a pre-determined time are provided in this article. The two parameters (α, λ), (Scale parameters and Shape parameters) are estimated by LSE, WLSE and the Best Estimator’s for various samples sizes are used to find the ratio of true mean time to a pre-determined, and are used to find the smallest possible sample size required to ensure the producer’s risks, with a pre-fixed probability (1 - P*). The result of estimations and of sampling plans is provided in tables.
Key words: Generalized Exponential Distribution, Acceptance Sampling Plan, and Consumer’s and Producer Risks
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