Pub Date : 2022-01-01DOI: 10.47654/v26y2022i3p54-74
{"title":"Review of Matrix Theory with Applications in Economics and Finance","authors":"","doi":"10.47654/v26y2022i3p54-74","DOIUrl":"https://doi.org/10.47654/v26y2022i3p54-74","url":null,"abstract":"","PeriodicalId":38875,"journal":{"name":"Advances in Decision Sciences","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70853938","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.47654/v26y2022i4p50-77
{"title":"Oil prices and sectorial stock indices of Pakistan: Empirical evidence using bootstrap ARDL model","authors":"","doi":"10.47654/v26y2022i4p50-77","DOIUrl":"https://doi.org/10.47654/v26y2022i4p50-77","url":null,"abstract":"","PeriodicalId":38875,"journal":{"name":"Advances in Decision Sciences","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70854162","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.47654/v26y2022i4p78-102
{"title":"Wilson Models and its Applications in Decision Sciences","authors":"","doi":"10.47654/v26y2022i4p78-102","DOIUrl":"https://doi.org/10.47654/v26y2022i4p78-102","url":null,"abstract":"","PeriodicalId":38875,"journal":{"name":"Advances in Decision Sciences","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70854215","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.47654/v26y2022i1p1-30
{"title":"Predictive Analytics in Business Analytics: Decision Tree","authors":"","doi":"10.47654/v26y2022i1p1-30","DOIUrl":"https://doi.org/10.47654/v26y2022i1p1-30","url":null,"abstract":"","PeriodicalId":38875,"journal":{"name":"Advances in Decision Sciences","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70852351","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.47654/v26y2022i1p128-162
Samya Tajmouati
Purpose: The COVID-19 virus has caused numerous problems worldwide. Given the negative effects of COVID-19, this study aims to estimate accurate forecasts of the number of confirmed cases to help policymakers determine and make the right decisions. Design/methodology/approach: This paper uses a hybrid approach for forecasting the daily COVID-19 cases based on combining the Autoregressive Integrated Moving Average (ARIMA) and Autoregressive Neural Network (NNAR) with a single hidden layer. To fit the linear pattern from the data, ARIMA models are used. Then, the NNAR models are used to capture the nonlinear pattern. The final prediction is obtained by adding up the two predictions. Findings: Using six-time series from January 22, 2020, to June 22, 2021, of new daily confirmed cases of COVID-19 from Pakistan, Tunisia, Indonesia, Malaysia, India and South Korea, this work evaluates the hybrid approach against some benchmark models and generated ten days ahead forecasts. Experiments demonstrate the superiority of the hybrid model over the benchmark models. Originality/value: Given the complex nature of new confirmed cases, it is assumed that the data contains both linear and nonlinear components. In literature, different studies have tended to forecast future cases of COVID-19. However, most of them have used single models that capture either linear or nonlinear patterns. This paper proposes a hybrid model that captures both linear and nonlinear components from the data.
{"title":"Modeling COVID-19 Confirmed Cases Using a Hybrid Model","authors":"Samya Tajmouati","doi":"10.47654/v26y2022i1p128-162","DOIUrl":"https://doi.org/10.47654/v26y2022i1p128-162","url":null,"abstract":"Purpose: The COVID-19 virus has caused numerous problems worldwide. Given the negative effects of COVID-19, this study aims to estimate accurate forecasts of the number of confirmed cases to help policymakers determine and make the right decisions. Design/methodology/approach: This paper uses a hybrid approach for forecasting the daily COVID-19 cases based on combining the Autoregressive Integrated Moving Average (ARIMA) and Autoregressive Neural Network (NNAR) with a single hidden layer. To fit the linear pattern from the data, ARIMA models are used. Then, the NNAR models are used to capture the nonlinear pattern. The final prediction is obtained by adding up the two predictions. Findings: Using six-time series from January 22, 2020, to June 22, 2021, of new daily confirmed cases of COVID-19 from Pakistan, Tunisia, Indonesia, Malaysia, India and South Korea, this work evaluates the hybrid approach against some benchmark models and generated ten days ahead forecasts. Experiments demonstrate the superiority of the hybrid model over the benchmark models. Originality/value: Given the complex nature of new confirmed cases, it is assumed that the data contains both linear and nonlinear components. In literature, different studies have tended to forecast future cases of COVID-19. However, most of them have used single models that capture either linear or nonlinear patterns. This paper proposes a hybrid model that captures both linear and nonlinear components from the data.","PeriodicalId":38875,"journal":{"name":"Advances in Decision Sciences","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70852461","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.47654/v26y2022i5p53-76
{"title":"Evaluating the Green Innovation Ability of Engineering Teams in a Hesitation Fuzzy Environment","authors":"","doi":"10.47654/v26y2022i5p53-76","DOIUrl":"https://doi.org/10.47654/v26y2022i5p53-76","url":null,"abstract":"","PeriodicalId":38875,"journal":{"name":"Advances in Decision Sciences","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70854306","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-28DOI: 10.47654/v26y2022i1p1-29
Chee Sun Lee, Peck Yeng Sharon Cheang
Business Analytics was defined as one of the most important aspects of combinations of skills, technologies and practices which scrutinize a corporation’s data and performance to transpire a data driven decision making analysis for a corporation’s future direction and investment plans. In this paper, much of the focus will be given to the predictive analysis which is a branch of business analytics which scrutinize the application of input data, statistical combinations and intelligence machine learning (ML) statistics on predicting the plausibility of a particular event happening, forecast future trends or outcomes utilizing on hand data with the final objective of improving performance of the corporation. Predictive analysis has been gaining much attention in the late 20th century and it has been around for decades, but as technology advances, so does this technique and the techniques include data mining, big data analytics, and prescriptive analytics. Last but not least, the decision tree methodology (DT) which is a supervised simple classification tool for predictive analysis which be fully scrutinized below for applying predictive business analytics and DT in business applications
{"title":"Predictive Analysis in Business Analytics: Application of Decision Tree in Business Decision Making","authors":"Chee Sun Lee, Peck Yeng Sharon Cheang","doi":"10.47654/v26y2022i1p1-29","DOIUrl":"https://doi.org/10.47654/v26y2022i1p1-29","url":null,"abstract":"Business Analytics was defined as one of the most important aspects of combinations of skills, technologies and practices which scrutinize a corporation’s data and performance to transpire a data driven decision making analysis for a corporation’s future direction and investment plans. In this paper, much of the focus will be given to the predictive analysis which is a branch of business analytics which scrutinize the application of input data, statistical combinations and intelligence machine learning (ML) statistics on predicting the plausibility of a particular event happening, forecast future trends or outcomes utilizing on hand data with the final objective of improving performance of the corporation. Predictive analysis has been gaining much attention in the late 20th century and it has been around for decades, but as technology advances, so does this technique and the techniques include data mining, big data analytics, and prescriptive analytics. Last but not least, the decision tree methodology (DT) which is a supervised simple classification tool for predictive analysis which be fully scrutinized below for applying predictive business analytics and DT in business applications","PeriodicalId":38875,"journal":{"name":"Advances in Decision Sciences","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44916360","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-03-01DOI: 10.47654/V25Y2021I1P1-40
M. McAleer
The world community has been changed irrevocably by the highly infectious and mutating SARSCoV-2 virus that causes the COVID-19 disease The necessary research output on COVID-19 has been revolutionary, especially in the medical and biomedical sciences, where the search for a vaccine is essential for the world to have a semblance of normality in the era of COVID-19 Much of the advanced research has been distributed in the leading medical journals, including the Journal of the American Medical Association (JAMA), where the latest medical research is distributed on a daily basis, and where comments can also be published The purpose of this paper is to provide a critique of 110 interesting and highly topical research papers that have been published in JAMA, mostly within the past two months The diverse topics include: treating influenza and COVID-19 simultaneously, dealing with a second wave of COVID-19 in Beijing, honesty is best for known and unknown GAWI and WIST, unreliability of asymptomatic COVID-19 testing outcomes for children, the effectiveness of flu vaccines, acute anxiety during COVID-19, MAID as an end of life option, longer-term effects of corticosteroids on the mortality of critically ill COVID-19 patients, isolation, loneliness and psychological distress during COVID-19, the selection of volunteers for COVID-19 vaccine trials, the mental health of children and adolescents during COVID-19, fertility preservation through hormonal intervention for transgender adolescents, safe, effective and affordable COVID-19 vaccines, essential requirements for acceptance of a COVID-19 vaccine, ischemic stroke rates from COVID-19 and influenza, mandatory COVID-19 vaccination of children, COVID-19 asymptomatic children and adults, Who Dares Wins (Qui Audet Adipiscitur), even against COVID-19, global health security index and responses to COVID-19, quality of life and dying, immunity from COVID-19, whom to trust or not to trust regarding COVID-19, the value of health care for cancer patients, previous medical research bodes well for a COVID-19 vaccine, you cannot fight COVID-19 alone, causality between hypertension and COVID-19, coffee consumption and metastatic colorectal cancer, improving statistical analysis of health policies on children and adolescents, COVID-19 does not respect anyone, politics diminishes the integrity and reputation of healthcare agencies, primary, secondary and tertiary cancers in the lung, health care should include everyone, especially for COVID-19, prioritizing access to COVID-19 vaccines, further questions about COVID-19 vaccines, estimating direct and indirect excess deaths from COVID-19, herd immunity for COVID-19, daily eyeglass wear and COVID-19 infection, using anything that prevents the spread of COVID-19, deferral of care for serious non-COVID-19 conditions, society's united fight against depression and suicide, the positive outcomes in delaying low-risk thyroid cancer treatment during COVID-19, the likely future toll
{"title":"A Critical Analysis of Some Recent Medical Research in Science on COVID-19","authors":"M. McAleer","doi":"10.47654/V25Y2021I1P1-40","DOIUrl":"https://doi.org/10.47654/V25Y2021I1P1-40","url":null,"abstract":"The world community has been changed irrevocably by the highly infectious and mutating SARSCoV-2 virus that causes the COVID-19 disease The necessary research output on COVID-19 has been revolutionary, especially in the medical and biomedical sciences, where the search for a vaccine is essential for the world to have a semblance of normality in the era of COVID-19 Much of the advanced research has been distributed in the leading medical journals, including the Journal of the American Medical Association (JAMA), where the latest medical research is distributed on a daily basis, and where comments can also be published The purpose of this paper is to provide a critique of 110 interesting and highly topical research papers that have been published in JAMA, mostly within the past two months The diverse topics include: treating influenza and COVID-19 simultaneously, dealing with a second wave of COVID-19 in Beijing, honesty is best for known and unknown GAWI and WIST, unreliability of asymptomatic COVID-19 testing outcomes for children, the effectiveness of flu vaccines, acute anxiety during COVID-19, MAID as an end of life option, longer-term effects of corticosteroids on the mortality of critically ill COVID-19 patients, isolation, loneliness and psychological distress during COVID-19, the selection of volunteers for COVID-19 vaccine trials, the mental health of children and adolescents during COVID-19, fertility preservation through hormonal intervention for transgender adolescents, safe, effective and affordable COVID-19 vaccines, essential requirements for acceptance of a COVID-19 vaccine, ischemic stroke rates from COVID-19 and influenza, mandatory COVID-19 vaccination of children, COVID-19 asymptomatic children and adults, Who Dares Wins (Qui Audet Adipiscitur), even against COVID-19, global health security index and responses to COVID-19, quality of life and dying, immunity from COVID-19, whom to trust or not to trust regarding COVID-19, the value of health care for cancer patients, previous medical research bodes well for a COVID-19 vaccine, you cannot fight COVID-19 alone, causality between hypertension and COVID-19, coffee consumption and metastatic colorectal cancer, improving statistical analysis of health policies on children and adolescents, COVID-19 does not respect anyone, politics diminishes the integrity and reputation of healthcare agencies, primary, secondary and tertiary cancers in the lung, health care should include everyone, especially for COVID-19, prioritizing access to COVID-19 vaccines, further questions about COVID-19 vaccines, estimating direct and indirect excess deaths from COVID-19, herd immunity for COVID-19, daily eyeglass wear and COVID-19 infection, using anything that prevents the spread of COVID-19, deferral of care for serious non-COVID-19 conditions, society's united fight against depression and suicide, the positive outcomes in delaying low-risk thyroid cancer treatment during COVID-19, the likely future toll","PeriodicalId":38875,"journal":{"name":"Advances in Decision Sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45279738","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-01-01DOI: 10.47654/v25y2021i1p40-80
{"title":"A Critical Analysis of Some Recent Medical Research in Science on COVID-19","authors":"","doi":"10.47654/v25y2021i1p40-80","DOIUrl":"https://doi.org/10.47654/v25y2021i1p40-80","url":null,"abstract":"","PeriodicalId":38875,"journal":{"name":"Advances in Decision Sciences","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70851408","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}