IAPQR TransactionsPub Date : 2023-05-22DOI: 10.32381/iapqrt.2023.47.01-02.1
S. Mukherjee
{"title":"WHITHER STATISTICS?","authors":"S. Mukherjee","doi":"10.32381/iapqrt.2023.47.01-02.1","DOIUrl":"https://doi.org/10.32381/iapqrt.2023.47.01-02.1","url":null,"abstract":"The present article reflects on a few issues regarding the on-going trend in theory and applications of Statistics. The aspect of applications and the problems with sample surveys in several domains have been emphasized.","PeriodicalId":187948,"journal":{"name":"IAPQR Transactions","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124324011","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}
IAPQR TransactionsPub Date : 2023-05-22DOI: 10.32381/iapqrt.2023.47.01-02.4
S. Rath, Ashis KUMAR CHAKRABORTY, S. Chatterjee
{"title":"RELIABILITY AND AVAILABILITY IMPROVEMENT OF RAW MATERIAL CHARGING STATION IN A STEEL INDUSTRY","authors":"S. Rath, Ashis KUMAR CHAKRABORTY, S. Chatterjee","doi":"10.32381/iapqrt.2023.47.01-02.4","DOIUrl":"https://doi.org/10.32381/iapqrt.2023.47.01-02.4","url":null,"abstract":"Raw Material Charging Station (RMCS) is one of the most important infrastructures in steel industry and is used to load and carry crushed iron ore to furnace. Breakdown behaviour of the RMCS was observed for a certain period, and its future behaviour was predicted using a reliability model. For improvement of availability however, a Six sigma approach was used. Initial focus was to reduce the repair time per month in order to make RMCS more available for use and save the financial loss due to unavailability of the furnaces to produce steel. This study discovers a way to simultaneously improve reliability, reduce repair time and thereby improve availability of the RMCS. The study also generalises an approach for improving reliability and availability for any mechanised repairable system using six sigma methodologies.","PeriodicalId":187948,"journal":{"name":"IAPQR Transactions","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129886937","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}
IAPQR TransactionsPub Date : 2023-05-22DOI: 10.32381/iapqrt.2023.47.01-02.3
M. P. Gadre
{"title":"WEIGHTED ALTERNATED CHARTING STATISTIC CONTROL CHART TO MONITOR THE MEAN VECTOR","authors":"M. P. Gadre","doi":"10.32381/iapqrt.2023.47.01-02.3","DOIUrl":"https://doi.org/10.32381/iapqrt.2023.47.01-02.3","url":null,"abstract":"In this article, modification of the ‘Alternated Charting Statistic’ (ACS) scheme with the traditional Hotelling 2 chart to control the mean vector of a bivariate normal process is proposed. With the bivariate ACS scheme in use, the two quality characteristics (X, Y) are controlled in an alternating fashion. The proposed control chart is called as ‘Weighed Alternated Charting Statistic’ (WACS) control chart to monitor the mean vector by using variable inspection. In WACS chart, which one of the two quality characteristic is to be inspected, is explained in detail. While defining the rule of the status of the process, the weights of each of the two quality characteristics are considered. It is numerically illustrated that the WACS chart performs better as compared to the 2chart and ACS chart.","PeriodicalId":187948,"journal":{"name":"IAPQR Transactions","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130167090","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}
IAPQR TransactionsPub Date : 2023-05-22DOI: 10.32381/iapqrt.2023.47.01-02.5
Laji Muraleedharan, Manoj Chacko
{"title":"INFERENCE AND PREDICTION OF ORDER STATISTICS BASED ON K-RECORD VALUES FROM A WEIBULL DISTRIBUTION","authors":"Laji Muraleedharan, Manoj Chacko","doi":"10.32381/iapqrt.2023.47.01-02.5","DOIUrl":"https://doi.org/10.32381/iapqrt.2023.47.01-02.5","url":null,"abstract":"In this paper, the problem of estimation of parameters and prediction of order statistics from a future sample based on upper k-record values arising from a two parameter Weibull distribution is considered. The maximum likelihood estimators and the Bayes estimators are obtained based on observed upper k-record values. Bayesian point predictors of the order statistics from a future sample and its two-sided equi-tailed prediction intervals are also derived. Finally, a numerical illustration is considered for exemplifying the proposed inferential procedures developed in this paper.","PeriodicalId":187948,"journal":{"name":"IAPQR Transactions","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114646751","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}
IAPQR TransactionsPub Date : 2023-05-22DOI: 10.32381/iapqrt.2023.47.01-02.2
N. Kumar, A. R. SUMI.
{"title":"USE OF RANKED SET SAMPLING IN THE ESTIMATION OF PARAMETERS 𝝁𝟐 AND 𝝈𝟐 OF MORGENSTERN TYPE BIVARIATE EXPONENTIAL DISTRIBUTION","authors":"N. Kumar, A. R. SUMI.","doi":"10.32381/iapqrt.2023.47.01-02.2","DOIUrl":"https://doi.org/10.32381/iapqrt.2023.47.01-02.2","url":null,"abstract":"In this article we have derived the best linear unbiased estimator (BLUE) of the parameters 2 and 2 involved in the Morgenstern type bivariate exponential distribution by ranked set sampling (RSS). Also we have evaluated the BLUE's of 2 and 2 involved in the Morgenstern type bivariate exponential distribution by concomitants of ranked set sampling for some specific values of the sample size n. The efficiency comparison of the proposed estimators with that of the estimators using concomitants of order statistics and modified ranked set sampling is also made.","PeriodicalId":187948,"journal":{"name":"IAPQR Transactions","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130240290","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}