Modelling Pages Left Blank in Univesity Examination: A Resolution in Higher Education Process
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://doi.org/10.57805/revstat.v21i1.393 |
Resumo: | Trees are the main sources of paper production, in most of the cases, as far as the intellectual usages are concerned. However, our planet is lacking in that particular natural resource due to rapid growth of population, urbanization, and increased pollution, more importantly non-judicial utilization of such kind. Indian education sectors (schools, colleges, universities) utilize a major part in consumption of papers as a classical practice for conducting examinations and other documentation activities. Our attempt in this article is to investigate and provide an optimal estimate of the number of pages actually required in answer booklet in higher education sector. Truncated Poisson distribution is found to be the best fit for the data on number of pages left blank in an answer booklet after conduction of semester end examinations. To predict the outcome based on various factors such as, lines per pages, words per line, types of examinations etc. suitable regression modelling is performed. A real data set, collected over a period of one month, has been analysed to illustrate the methods and conclusion is accomplished in the direction of cost reduction, saving of papers, and in turn, logical uses of natural resource to protect environmental interests. |
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Modelling Pages Left Blank in Univesity Examination: A Resolution in Higher Education Processmaximum likelihood estimationutility functionenvironment protectiontruncated Poisson distributionTrees are the main sources of paper production, in most of the cases, as far as the intellectual usages are concerned. However, our planet is lacking in that particular natural resource due to rapid growth of population, urbanization, and increased pollution, more importantly non-judicial utilization of such kind. Indian education sectors (schools, colleges, universities) utilize a major part in consumption of papers as a classical practice for conducting examinations and other documentation activities. Our attempt in this article is to investigate and provide an optimal estimate of the number of pages actually required in answer booklet in higher education sector. Truncated Poisson distribution is found to be the best fit for the data on number of pages left blank in an answer booklet after conduction of semester end examinations. To predict the outcome based on various factors such as, lines per pages, words per line, types of examinations etc. suitable regression modelling is performed. A real data set, collected over a period of one month, has been analysed to illustrate the methods and conclusion is accomplished in the direction of cost reduction, saving of papers, and in turn, logical uses of natural resource to protect environmental interests.Statistics Portugal2023-05-26info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://doi.org/10.57805/revstat.v21i1.393https://doi.org/10.57805/revstat.v21i1.393REVSTAT-Statistical Journal; Vol. 21 No. 1 (2023): REVSTAT-Statistical Journal; 63-76REVSTAT; Vol. 21 N.º 1 (2023): REVSTAT-Statistical Journal; 63-762183-03711645-6726reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAPenghttps://revstat.ine.pt/index.php/REVSTAT/article/view/393https://revstat.ine.pt/index.php/REVSTAT/article/view/393/628Copyright (c) 2021 REVSTAT-Statistical Journalinfo:eu-repo/semantics/openAccessK. Ghosh , SumanSen , Subhradev2023-05-27T06:30:12Zoai:revstat:article/393Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:56:25.452447Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Modelling Pages Left Blank in Univesity Examination: A Resolution in Higher Education Process |
title |
Modelling Pages Left Blank in Univesity Examination: A Resolution in Higher Education Process |
spellingShingle |
Modelling Pages Left Blank in Univesity Examination: A Resolution in Higher Education Process K. Ghosh , Suman maximum likelihood estimation utility function environment protection truncated Poisson distribution |
title_short |
Modelling Pages Left Blank in Univesity Examination: A Resolution in Higher Education Process |
title_full |
Modelling Pages Left Blank in Univesity Examination: A Resolution in Higher Education Process |
title_fullStr |
Modelling Pages Left Blank in Univesity Examination: A Resolution in Higher Education Process |
title_full_unstemmed |
Modelling Pages Left Blank in Univesity Examination: A Resolution in Higher Education Process |
title_sort |
Modelling Pages Left Blank in Univesity Examination: A Resolution in Higher Education Process |
author |
K. Ghosh , Suman |
author_facet |
K. Ghosh , Suman Sen , Subhradev |
author_role |
author |
author2 |
Sen , Subhradev |
author2_role |
author |
dc.contributor.author.fl_str_mv |
K. Ghosh , Suman Sen , Subhradev |
dc.subject.por.fl_str_mv |
maximum likelihood estimation utility function environment protection truncated Poisson distribution |
topic |
maximum likelihood estimation utility function environment protection truncated Poisson distribution |
description |
Trees are the main sources of paper production, in most of the cases, as far as the intellectual usages are concerned. However, our planet is lacking in that particular natural resource due to rapid growth of population, urbanization, and increased pollution, more importantly non-judicial utilization of such kind. Indian education sectors (schools, colleges, universities) utilize a major part in consumption of papers as a classical practice for conducting examinations and other documentation activities. Our attempt in this article is to investigate and provide an optimal estimate of the number of pages actually required in answer booklet in higher education sector. Truncated Poisson distribution is found to be the best fit for the data on number of pages left blank in an answer booklet after conduction of semester end examinations. To predict the outcome based on various factors such as, lines per pages, words per line, types of examinations etc. suitable regression modelling is performed. A real data set, collected over a period of one month, has been analysed to illustrate the methods and conclusion is accomplished in the direction of cost reduction, saving of papers, and in turn, logical uses of natural resource to protect environmental interests. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-05-26 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://doi.org/10.57805/revstat.v21i1.393 https://doi.org/10.57805/revstat.v21i1.393 |
url |
https://doi.org/10.57805/revstat.v21i1.393 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://revstat.ine.pt/index.php/REVSTAT/article/view/393 https://revstat.ine.pt/index.php/REVSTAT/article/view/393/628 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2021 REVSTAT-Statistical Journal info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2021 REVSTAT-Statistical Journal |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Statistics Portugal |
publisher.none.fl_str_mv |
Statistics Portugal |
dc.source.none.fl_str_mv |
REVSTAT-Statistical Journal; Vol. 21 No. 1 (2023): REVSTAT-Statistical Journal; 63-76 REVSTAT; Vol. 21 N.º 1 (2023): REVSTAT-Statistical Journal; 63-76 2183-0371 1645-6726 reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799131638972547072 |