Pub Date : 2022-07-26DOI: 10.1080/09720510.2021.1995197
Chung-Ho Chen, C. Chou
Abstract In this work, the authors propose the application of type I continuous sampling plan (CSP-1 plan) with expected inspection cost, expected replacement cost, expected warranty cost, expected quality loss for conforming product, and expected quality loss for nonconforming product per item. The quality characteristics of product is considered as the normal distribution with smaller-the-better characteristics. The quality loss function of product addresses the quadratic quality loss function. The CSP-1 plan is applied in the process control. The optimal combination of parameters is obtained from the minimum expected total cost per item produced under the specified average outgoing quality limit (AOQL) protection. One needs to have the optimal clearance number, sampling frequency, and specification limit coefficient.
{"title":"Optimum specification limit coefficient setting based on the smaller-the-better quality characteristics","authors":"Chung-Ho Chen, C. Chou","doi":"10.1080/09720510.2021.1995197","DOIUrl":"https://doi.org/10.1080/09720510.2021.1995197","url":null,"abstract":"Abstract In this work, the authors propose the application of type I continuous sampling plan (CSP-1 plan) with expected inspection cost, expected replacement cost, expected warranty cost, expected quality loss for conforming product, and expected quality loss for nonconforming product per item. The quality characteristics of product is considered as the normal distribution with smaller-the-better characteristics. The quality loss function of product addresses the quadratic quality loss function. The CSP-1 plan is applied in the process control. The optimal combination of parameters is obtained from the minimum expected total cost per item produced under the specified average outgoing quality limit (AOQL) protection. One needs to have the optimal clearance number, sampling frequency, and specification limit coefficient.","PeriodicalId":270059,"journal":{"name":"Journal of Statistics and Management Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128461695","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 : 2022-07-26DOI: 10.1080/09720510.2021.2016988
H. Akdemir, H. Kocken
Abstract A new approach to regression modeling for crisp input-fuzzy output is introduced. The procedure starts with sample generation of symmetrical triangular fuzzy outputs and applying robust linear regression (RLR) a substantial number of times to crisp data. Then, the centers of the coefficients are determined as the mean of upper and lower values. Similarly, the spreads are assumed as the half-length of the resulting intervals. Concurrently, outliers are labeled during the RLR. The total absolute difference between left and right endpoints as a distance between two fuzzy numbers is considered as an error measure. Finally, at the control phase, the estimated spreads are narrowed via bisection. Successively at the correction phase, spreads are widened with respect to outliers, and the constraints, and whether getting a better sum of errors. Numerical examples and comparison studies are given to clarify the proposed method. Furthermore, given the profound effects of the worldwide pandemic, the topic of popularity prediction in YouTube videos related to Covid-19 is chosen as an application.
{"title":"A new fuzzy linear regression algorithm based on the simulation of fuzzy samples and an application on popularity prediction of Covid-19 related videos","authors":"H. Akdemir, H. Kocken","doi":"10.1080/09720510.2021.2016988","DOIUrl":"https://doi.org/10.1080/09720510.2021.2016988","url":null,"abstract":"Abstract A new approach to regression modeling for crisp input-fuzzy output is introduced. The procedure starts with sample generation of symmetrical triangular fuzzy outputs and applying robust linear regression (RLR) a substantial number of times to crisp data. Then, the centers of the coefficients are determined as the mean of upper and lower values. Similarly, the spreads are assumed as the half-length of the resulting intervals. Concurrently, outliers are labeled during the RLR. The total absolute difference between left and right endpoints as a distance between two fuzzy numbers is considered as an error measure. Finally, at the control phase, the estimated spreads are narrowed via bisection. Successively at the correction phase, spreads are widened with respect to outliers, and the constraints, and whether getting a better sum of errors. Numerical examples and comparison studies are given to clarify the proposed method. Furthermore, given the profound effects of the worldwide pandemic, the topic of popularity prediction in YouTube videos related to Covid-19 is chosen as an application.","PeriodicalId":270059,"journal":{"name":"Journal of Statistics and Management Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117313365","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 : 2022-07-26DOI: 10.1080/09720510.2021.1995217
Lazhar Benkhelifa
Abstract This paper presents a new four-parameter distribution called the alpha power Topp-Leone Weibull distribution. It is more fexible than some existing well-known distributions due to its diferent shapes of the hazard and density functions. Fundamental mathematical properties of this distribution are obtained including the series expansions of density, quantile function, moments, generating function, conditional moments, mean deviations, Bonferroni and Lorenz curves, Rényi and Shanon entropies and order statistics. Characterizations of the new distribution based on two truncated moments and hazard function are investigated. Estimation of the model parameters is carried out by the maximum likelihood estimation method. A simulation study is conducted to evaluate the performance of the maximum likelihood estimators. A new log-alpha power Topp-Leone Weibull regression model is defined. Three real data sets are provided to examine the fexibility of the new models.
{"title":"Alpha power Topp-Leone Weibull distribution : Properties, Characterizations, Regression modeling and applications","authors":"Lazhar Benkhelifa","doi":"10.1080/09720510.2021.1995217","DOIUrl":"https://doi.org/10.1080/09720510.2021.1995217","url":null,"abstract":"Abstract This paper presents a new four-parameter distribution called the alpha power Topp-Leone Weibull distribution. It is more fexible than some existing well-known distributions due to its diferent shapes of the hazard and density functions. Fundamental mathematical properties of this distribution are obtained including the series expansions of density, quantile function, moments, generating function, conditional moments, mean deviations, Bonferroni and Lorenz curves, Rényi and Shanon entropies and order statistics. Characterizations of the new distribution based on two truncated moments and hazard function are investigated. Estimation of the model parameters is carried out by the maximum likelihood estimation method. A simulation study is conducted to evaluate the performance of the maximum likelihood estimators. A new log-alpha power Topp-Leone Weibull regression model is defined. Three real data sets are provided to examine the fexibility of the new models.","PeriodicalId":270059,"journal":{"name":"Journal of Statistics and Management Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116029445","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 : 2022-07-26DOI: 10.1080/09720510.2021.1984568
H. A. Noughabi
Abstract This work is devoted to construction of goodness-of-fit test statistics for the Lindley model. The proposed test statistics are based on the sample entropy. The properties of the tests and critical points of them for various sample sizes are obtained. An empirical power comparison study is then conducted using Monte Carlo simulations, under various alternatives and for different sample sizes. The new tests exhibit good performance in terms of power in comparison to the EDF-based test statistics. A discussion of the results follows, where the best tests are selected for different classes of alternatives. Finally, a real dataset is analyzed for illustrative purposes.
{"title":"Sample entropy applied to test of fit for Lindley distribution and power comparison","authors":"H. A. Noughabi","doi":"10.1080/09720510.2021.1984568","DOIUrl":"https://doi.org/10.1080/09720510.2021.1984568","url":null,"abstract":"Abstract This work is devoted to construction of goodness-of-fit test statistics for the Lindley model. The proposed test statistics are based on the sample entropy. The properties of the tests and critical points of them for various sample sizes are obtained. An empirical power comparison study is then conducted using Monte Carlo simulations, under various alternatives and for different sample sizes. The new tests exhibit good performance in terms of power in comparison to the EDF-based test statistics. A discussion of the results follows, where the best tests are selected for different classes of alternatives. Finally, a real dataset is analyzed for illustrative purposes.","PeriodicalId":270059,"journal":{"name":"Journal of Statistics and Management Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133972319","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 : 2022-07-26DOI: 10.1080/09720510.2021.1984570
Kethamile Rannona, B. Oluyede, Fastel Chipepa, B. Makubate
Abstract We propose a new generalized class of distributions called the Exponentiated odd Exponential Half Logistic-G Power Series (EOEHL-GPS) class of distributions. This model is obtained by compounding the Exponentiated odd Exponential Half Logistic-G distribution with the power series distribution. Statistical properties of the EOEHL-GPS class of distributions are discussed. Maximum likelihood estimates for the proposed model were obtained. A simulation study was carried out to assess the performance of the maximum likelihood estimates. Finally, real data examples are used to illustrate the usefulness of the new model compared to other models.
{"title":"The exponentiated odd exponential half logistic-G power series class of distributions with applications","authors":"Kethamile Rannona, B. Oluyede, Fastel Chipepa, B. Makubate","doi":"10.1080/09720510.2021.1984570","DOIUrl":"https://doi.org/10.1080/09720510.2021.1984570","url":null,"abstract":"Abstract We propose a new generalized class of distributions called the Exponentiated odd Exponential Half Logistic-G Power Series (EOEHL-GPS) class of distributions. This model is obtained by compounding the Exponentiated odd Exponential Half Logistic-G distribution with the power series distribution. Statistical properties of the EOEHL-GPS class of distributions are discussed. Maximum likelihood estimates for the proposed model were obtained. A simulation study was carried out to assess the performance of the maximum likelihood estimates. Finally, real data examples are used to illustrate the usefulness of the new model compared to other models.","PeriodicalId":270059,"journal":{"name":"Journal of Statistics and Management Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133130375","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 : 2022-07-26DOI: 10.1080/09720510.2021.2011115
Osman Kamari, M. Alizadeh
Abstract In this work, we propose a new family of continuous distributions with two shape parameters named the Extended Exponentiated type 2 (EE2-H). We study some basic properties including quantile function, mixture for cdf and pdf and order statistics .Then we study half-logistic distribution as a special case with more details. We study different methods of estimation and then we compare these methods with a simulation study. Finally, two real data sets show the capability of this model.
{"title":"The type 2 extended exponentiated family of distributions","authors":"Osman Kamari, M. Alizadeh","doi":"10.1080/09720510.2021.2011115","DOIUrl":"https://doi.org/10.1080/09720510.2021.2011115","url":null,"abstract":"Abstract In this work, we propose a new family of continuous distributions with two shape parameters named the Extended Exponentiated type 2 (EE2-H). We study some basic properties including quantile function, mixture for cdf and pdf and order statistics .Then we study half-logistic distribution as a special case with more details. We study different methods of estimation and then we compare these methods with a simulation study. Finally, two real data sets show the capability of this model.","PeriodicalId":270059,"journal":{"name":"Journal of Statistics and Management Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123791603","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 : 2022-07-26DOI: 10.1080/09720510.2021.1995216
Matteo Crisafulli, G. P. Clemente
Abstract Evaluation of claims reserve is a paramount process for non-life insurance company. To this end, several deterministic and stochastic methodologies have been provided in the literature. Therefore, the validation of the models on actual data and the comparison of these models appropriateness is nowadays a crucial question. We focus here on different Bornhuetter-Ferguson methodologies and we backtest the behavior of these models using the well-known dataset made available in [22]. The aim is to test both the ability of different models to well predict future losses as well as to evaluate the effects of different priors on the results. Additionally, we test the uncertainty of the predictions by comparing the coefficient of variation.
{"title":"Backtesting the Bayesian Bornhuetter-Ferguson method against traditional approaches in claims reserving","authors":"Matteo Crisafulli, G. P. Clemente","doi":"10.1080/09720510.2021.1995216","DOIUrl":"https://doi.org/10.1080/09720510.2021.1995216","url":null,"abstract":"Abstract Evaluation of claims reserve is a paramount process for non-life insurance company. To this end, several deterministic and stochastic methodologies have been provided in the literature. Therefore, the validation of the models on actual data and the comparison of these models appropriateness is nowadays a crucial question. We focus here on different Bornhuetter-Ferguson methodologies and we backtest the behavior of these models using the well-known dataset made available in [22]. The aim is to test both the ability of different models to well predict future losses as well as to evaluate the effects of different priors on the results. Additionally, we test the uncertainty of the predictions by comparing the coefficient of variation.","PeriodicalId":270059,"journal":{"name":"Journal of Statistics and Management Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125258076","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 : 2022-07-26DOI: 10.1080/09720510.2021.1972620
I. Elbatal, G. Ozel, S. Cakmakyapan
Abstract In this paper, we proposed and studied a new family of continuous distributions generated from the extended exponential distribution called as odd extended exponential-G family. Some special models of this family are introduced. Various structural properties of the new family, which hold for any baseline model, are derived including the quantile function, ordinary and incomplete moments, generating function and R’enyi entropy are provided. Then, the maximum likelihood estimates of the model parameters are given. A simulation study is also conducted. Using earthquake real data set of Turkey, the importance and flexibility of the proposed model are illustrated.
{"title":"Odd extended exponential-G family: Properties and application on earthquake data","authors":"I. Elbatal, G. Ozel, S. Cakmakyapan","doi":"10.1080/09720510.2021.1972620","DOIUrl":"https://doi.org/10.1080/09720510.2021.1972620","url":null,"abstract":"Abstract In this paper, we proposed and studied a new family of continuous distributions generated from the extended exponential distribution called as odd extended exponential-G family. Some special models of this family are introduced. Various structural properties of the new family, which hold for any baseline model, are derived including the quantile function, ordinary and incomplete moments, generating function and R’enyi entropy are provided. Then, the maximum likelihood estimates of the model parameters are given. A simulation study is also conducted. Using earthquake real data set of Turkey, the importance and flexibility of the proposed model are illustrated.","PeriodicalId":270059,"journal":{"name":"Journal of Statistics and Management Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129968063","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 : 2022-07-04DOI: 10.1080/09720510.2022.2083828
K. Fathima Rizwan, A. Jenita
Abstract The increase in socially responsible investors increased the importance of corporate social responsibility (CSR) and made it more important, especially in the last decade. Now investors are not only considering the return in terms of monetary gain but the impact on society as well. This research shows that a connection between a company’s CSR efforts and its stock price success may be established. Furthermore, it demonstrates that investors may have negative reactions to CSR performance that is either too low or too high. Due to the importance of socially responsible investing, managers should focus on enhancing their companies’ CSR efforts. A CSR programme, according to a study assessment, has no effect on the market value of a company. It is possible, however, that investors’ purpose in making decisions about concern corporations might moderate the link of CSR in market capitalization. The research employs a descriptive design and data collection techniques such as snowball sampling to obtain information from investors. SPSS was used to do statistical analysis on 150 samples gathered from the investors.
{"title":"An analysis of impact of CSR practices on investment behaviour","authors":"K. Fathima Rizwan, A. Jenita","doi":"10.1080/09720510.2022.2083828","DOIUrl":"https://doi.org/10.1080/09720510.2022.2083828","url":null,"abstract":"Abstract The increase in socially responsible investors increased the importance of corporate social responsibility (CSR) and made it more important, especially in the last decade. Now investors are not only considering the return in terms of monetary gain but the impact on society as well. This research shows that a connection between a company’s CSR efforts and its stock price success may be established. Furthermore, it demonstrates that investors may have negative reactions to CSR performance that is either too low or too high. Due to the importance of socially responsible investing, managers should focus on enhancing their companies’ CSR efforts. A CSR programme, according to a study assessment, has no effect on the market value of a company. It is possible, however, that investors’ purpose in making decisions about concern corporations might moderate the link of CSR in market capitalization. The research employs a descriptive design and data collection techniques such as snowball sampling to obtain information from investors. SPSS was used to do statistical analysis on 150 samples gathered from the investors.","PeriodicalId":270059,"journal":{"name":"Journal of Statistics and Management Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116998257","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 : 2022-07-04DOI: 10.1080/09720510.2022.2079198
Faisal Usmani, Atif Ghayas, Mohd Shamshad
Abstract This paper empirically investigates the impact of foreign institutional investors on Indian market returns volatility using symmetric and asymmetric volatility models like Generalized Autoregressive Conditional Heteroscedasticity (GARCH) and Exponential Generalized Autoregressive Conditional Heteroscedasticity (EGARCH) respectively. The study has been conducted on two samples using Nifty 50 returns and foreign institutional investors purchase, sale and net investment from the year 2000 in whole sample and from the year 2009 in sub sample on daily basis. The dummy variable is used for global financial crisis that has significantly increased the volatility of Nifty 50 returns. The study has found that foreign institutional investors reduce the volatility in Indian market in most of the cases while net investment by foreign institutional investors increase the volatility of Indian markets. Furthermore, the study has surpassed previous studies by employing symmetric and asymmetric models on same sample of data and in observing that the outcome of this study is largely dependent on frequency of the data and selection of the methodology. The study suggested that there should be some capital control measures in short term and encourage long-term investment.
{"title":"Foreign institutional investors and market return volatility: Evidence from symmetric and asymmetric models","authors":"Faisal Usmani, Atif Ghayas, Mohd Shamshad","doi":"10.1080/09720510.2022.2079198","DOIUrl":"https://doi.org/10.1080/09720510.2022.2079198","url":null,"abstract":"Abstract This paper empirically investigates the impact of foreign institutional investors on Indian market returns volatility using symmetric and asymmetric volatility models like Generalized Autoregressive Conditional Heteroscedasticity (GARCH) and Exponential Generalized Autoregressive Conditional Heteroscedasticity (EGARCH) respectively. The study has been conducted on two samples using Nifty 50 returns and foreign institutional investors purchase, sale and net investment from the year 2000 in whole sample and from the year 2009 in sub sample on daily basis. The dummy variable is used for global financial crisis that has significantly increased the volatility of Nifty 50 returns. The study has found that foreign institutional investors reduce the volatility in Indian market in most of the cases while net investment by foreign institutional investors increase the volatility of Indian markets. Furthermore, the study has surpassed previous studies by employing symmetric and asymmetric models on same sample of data and in observing that the outcome of this study is largely dependent on frequency of the data and selection of the methodology. The study suggested that there should be some capital control measures in short term and encourage long-term investment.","PeriodicalId":270059,"journal":{"name":"Journal of Statistics and Management Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126109443","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}
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