{"title":"Two-Stage Life Test Acceptance Sampling Plans for the Weibull Distribution using Trinomial Distribution","authors":"D. Raykundaliya, Christian Sanjay, Divecha Jyoti","doi":"10.59467/ijass.2024.20.117","DOIUrl":"https://doi.org/10.59467/ijass.2024.20.117","url":null,"abstract":"In materials engineering applications, lifetime of product is one of the quality characteristics of interest. Lifetimes of products are inspected in life tests upto a predetermined time t0, which may observe early failure of some of the products; incorporation of this fact may not only reduce the cost of inspection, but also provide some more insight into the failure mechanism. In this paper, we consider a two-stage time censoring scheme by dividing test truncation time t0 into two parts [.. formula..] and observe the number of failures in each interval, considering the remainder items as censored at t0. The trinomial distribution has been used to develop life test acceptance sampling plans for establishing quantile life of items having Weibull lifetimes. The proposed life test sampling plan gives added advantage to producers and extra safeguard to consumers, as compared to the life test sampling plans available in the literature for the Weibull distribution. Tables of plan parameters are constructed through code written in R 4.1.2, and illustrated for some real-life industrial cases.. KEYWORDS :Quantile, Two-stage censoring, Trinomial distribution, Weibull distribution.","PeriodicalId":50344,"journal":{"name":"International Journal of Agricultural and Statistical Sciences","volume":"75 5","pages":""},"PeriodicalIF":0.3,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141405802","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}
S. Nandhini, S.D. Sivakumar, N. Palanichamy, V. Anandhi, P. Balasubramanian, R. Vasanthi
{"title":"Determinants of Blockchain Technology Adoption in Agricultural Supply Chain","authors":"S. Nandhini, S.D. Sivakumar, N. Palanichamy, V. Anandhi, P. Balasubramanian, R. Vasanthi","doi":"10.59467/ijass.2024.20.211","DOIUrl":"https://doi.org/10.59467/ijass.2024.20.211","url":null,"abstract":"Blockchain technology adoption in agriculture can bring a win-win situation for all stakeholders in supply chain, which aids in the security of transactions and information in both forward and backward linkages in agricultural supply chain. Furthermore, blockchain platform benefits producers by enhancing their reputation, increasing their competitiveness and reducing fraud by eliminating undesirable practices in the supply chain. This research paper aims to analyze the determinants of blockchain technology adoption in agricultural supply chain. Grey relational analysis is employed to identify the determinant factors of blockchain technology adoption in the supply chain. The factors for blockchain technology adoption in supply chain are identified based on the literature review collected and focus group discussion with experts. Experts are insisted to rate the factors based on the five point likert scale. The findings revealed that data transparency, traceability, interoperability, data immutability and high value pricing, product type, organization trust, and government support can influence the blockchain adoption in supply chain. The findings conclude that priorities must be given to those influential factors which will help the organizational stakeholders in formulating suitable strategy for effectively implementing blockchain technology in the agricultural supply chain.. KEYWORDS :Blockchain technology, Adoption, Factors, Agricultural supply chain, Grey relational analysis.","PeriodicalId":50344,"journal":{"name":"International Journal of Agricultural and Statistical Sciences","volume":"117 15","pages":""},"PeriodicalIF":0.3,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141406991","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}
{"title":"Estimating Missing values in Randomized Complete Block design using EM Algorithm","authors":"O.P. Sheoran, Vinay Kumar, Rohit Kundu","doi":"10.59467/ijass.2024.20.153","DOIUrl":"https://doi.org/10.59467/ijass.2024.20.153","url":null,"abstract":"This research explores the application of the Expectation-Maximization (EM) algorithm to address missing data challenges in Randomized Complete Block Designs (RCBD). Traditional imputation methods often introduce biases, prompting the need for a robust solution. The EM algorithm, anchored in a mixed effects model, iteratively estimates missing values, demonstrating its efficacy in a practical RCBD scenario. Through 15 iterations, the algorithm converges to stable parameter estimates. Root Mean Square Error (RMSE) and bias calculations validate the accuracy of imputations. This study establishes the EM algorithm as a powerful tool for enhancing the integrity of analyses in RCBD experiments with missing data.. KEYWORDS :Expectation-Maximization Algorithm, Randomized complete block design (RCBD), Mixed effects model, Root mean square error (RMSE), Machine learning approaches.","PeriodicalId":50344,"journal":{"name":"International Journal of Agricultural and Statistical Sciences","volume":"70 5","pages":""},"PeriodicalIF":0.3,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141389992","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}
{"title":"Shewhart Type Control Chart Based on Median for Location Parameter","authors":"Sharada V. Bhat, Shradha S. Patil","doi":"10.59467/ijass.2024.20.275","DOIUrl":"https://doi.org/10.59467/ijass.2024.20.275","url":null,"abstract":"Control charts are prominent tools in monitoring various variables of manufacturing processes. In this paper, the control chart based on sample median is proposed for process location parameter using Shewhart?s approach. The proposed control chart is developed under some distributions including normal distribution. Its performance is studied in terms of power, average run length (ARL) and standard deviation of run length (SDRL). Also, the effect of non normality on this control chart is discussed.. KEYWORDS :ARL, Control limits, Location parameter, Median, Non-normality, Power.","PeriodicalId":50344,"journal":{"name":"International Journal of Agricultural and Statistical Sciences","volume":"105 1‐2","pages":""},"PeriodicalIF":0.3,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141414125","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}
Sanjoy Kumar Ghosh, B. Seal, Shreya Bhunia, Proloy Banerjee
{"title":"Estimation of Population Mean in an Infinite Population Using Samples by a Systematic Manner","authors":"Sanjoy Kumar Ghosh, B. Seal, Shreya Bhunia, Proloy Banerjee","doi":"10.59467/ijass.2024.20.1","DOIUrl":"https://doi.org/10.59467/ijass.2024.20.1","url":null,"abstract":"Systematic sampling method has been used in a finite population for estimation of the population characteristic. In this article, we are trying to extend this method when the population size is countably infinite. In finite population, a unit has equal probability of being chosen in most of the cases except PPS. However, this cannot be so in infinite population. In that case,we approximate infinite population by large finite population and then use the traditional finite population method. It is true that the original population have some distribution, but without knowing that we are using systematic sampling method and based on that we are estimating population mean. We want to see the effectiveness of this systematic manner if the population has some specified distribution. Here, based on Poisson assumption, we provide some approximation methods and see performances in each case. However, this is to be done for some important distributions also. Here, the problem has been viewed in three ways and out of that the first method performs well, where the Poisson probabilities has been assigned to all possible samples rather than any truncation of the infinite population by finite population. . KEYWORDS :Systematic sampling, Risk function, Poisson distribution, Truncation, Approximation methods.","PeriodicalId":50344,"journal":{"name":"International Journal of Agricultural and Statistical Sciences","volume":"21 12","pages":""},"PeriodicalIF":0.3,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141397711","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}
{"title":"Uniform Mixture Designs using the Designs in 3-dimensional Spherical Region","authors":"Poonam Singh, Himanshu Shukla","doi":"10.59467/ijass.2024.20.63","DOIUrl":"https://doi.org/10.59467/ijass.2024.20.63","url":null,"abstract":"Many product development activities involve mixture experiments. Mixture Experiments are widely used in many areas such as pharmaceutical, chemical, petrochemical industries. This paper proposes a method for obtaining the uniform mixture designs for s component mixtures based on designs in s-dimensional spherical region, which are obtained by using the 3-dimensional spherical region designs given by Talke and Borkowski (2016). The uniformity of the constructed design in spherical region is measured by distance-based approaches and for the mixture design DM2-discrepancy is used for measuring the uniformity.. KEYWORDS :Mixture experiments, Uniform mixture design, Spherical region, Distance-based approach, DM2-discrepancy.","PeriodicalId":50344,"journal":{"name":"International Journal of Agricultural and Statistical Sciences","volume":"181 S470","pages":""},"PeriodicalIF":0.3,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141413140","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}
{"title":"Performance of Agriculture in Unorganized Sector of India: The Way Forward","authors":"Navdeep Kaur, Sandeep Kaur, Himanshu Himanshu","doi":"10.59467/ijass.2024.20.253","DOIUrl":"https://doi.org/10.59467/ijass.2024.20.253","url":null,"abstract":"The unorganized sector has emerged as the major problem of the country. Most of the informal workers comprise the agriculture sector. So, the present paper is focused on the growth of the unorganized sector in India with special emphasis on the agriculture sector. The agriculture share in gross value added is higher than other sectors. The proportion of selfemployed is higher than casual labour and regular waged workers. In rural areas, workers? livelihoods are dependent upon agriculture because when people have limited or no livelihood opportunities and for earning no formal jobs are there then to fulfil the basic requirement of the family, they are involved in jobs in the informal sector. The government has initiated many measures to formalize unorganized sectors like MGNREGA, Udyam, e-Sharam portal, Atamnirbhar package etc. It is suggested that government should organize awareness camps to inform people about formalization and its potential impact on their lifestyles. Formalization can pave the way for the shift to a green economy.. KEYWORDS :Unorganised sector, Agriculture, Labour force, Formalization, Government initiatives.","PeriodicalId":50344,"journal":{"name":"International Journal of Agricultural and Statistical Sciences","volume":"25 1","pages":""},"PeriodicalIF":0.3,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141405483","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}
Mohammed Kadhim Shanshool, Shashibhushan B. Mahadik
{"title":"The Combined Shewhart-CUSUM Wilcoxon Signed-rank Control Charts for Process Location","authors":"Mohammed Kadhim Shanshool, Shashibhushan B. Mahadik","doi":"10.59467/ijass.2024.20.239","DOIUrl":"https://doi.org/10.59467/ijass.2024.20.239","url":null,"abstract":"Nonparametric one- and two-sided combined Shewhart-CUSUM (CSC) control charts for process location based on the Wilcoxon signed rank (WSR) statistic are proposed. The statistical performances of these charts are investigated through Monte Carlo simulations, when the underlying process distributions are normal, uniform and Laplace. It is observed that a CSC WSR chart can be designed so as to exhibit a trade-off statistical performance between the performances of the Shewhart WSR and CUSUM WSR charts for identifying a location shift of any size. Hence, it is a viable alternative to these two charts in a case where efficient detections of the small as well as large-sized location shifts are equally important. Computations of the control statistics of a one-sided CSC WSR chart are illustrated using simulated-data example.. KEYWORDS :Statistical process control, Average run length, Distribution-free control chart","PeriodicalId":50344,"journal":{"name":"International Journal of Agricultural and Statistical Sciences","volume":"39 16","pages":""},"PeriodicalIF":0.3,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141410322","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}
{"title":"Explicit Expressions for Single and Product Moments of Lower Generalized Order Statistics from Log Logistic Distribution and its Characterization","authors":"Rajesh Sachdev","doi":"10.59467/ijass.2024.20.321","DOIUrl":"https://doi.org/10.59467/ijass.2024.20.321","url":null,"abstract":"Current paper comprehensively establishes exact expressions for both single and product moments of lower generalized order statistics originating from scaled log-logistic distributions, popularly recognized as the Fisk Distribution-a distribution extensively utilized in reliability theory. Furthermore, we provide a characterization result for this specific class of distributions, employing the renowned Ruiz identity. This work aims to provide a thorough understanding of the statistical properties of lower generalized order statistics in relation to scaled log-logistic distributions, thereby enhancing the applicability and insights into reliability analysis and related fields.. KEYWORDS :Generalized order statistics, Single and product moments, Scaled log logistic distribution, Ruiz identity.","PeriodicalId":50344,"journal":{"name":"International Journal of Agricultural and Statistical Sciences","volume":"14 1","pages":""},"PeriodicalIF":0.3,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141396770","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}
{"title":"Statistical Modeling and Forecasting of Area, Production and Yield of Mango","authors":"G. M. Naidu, S. G. Rao","doi":"10.59467/ijass.2024.20.187","DOIUrl":"https://doi.org/10.59467/ijass.2024.20.187","url":null,"abstract":"The goal of the current study was to forecast and analyze the trends in the area, production and yield of mango crops planted in Andhra Pradesh between 1991-1992 and 2017-2018. Different non-linear and ARIMA models were used to forecast and analyse area, production, and yield trends. The cubic model for production and yield of the mango crop farmed in Andhra Pradesh and the Power model for area trends both fit the data well. For forecasting mango area, production and yield, the best models were ARIMA (2,0,2), Cubic and ARIMA (2,2,1) based on model selection parameters such as adjusted R2 , RMSE, and MAE. The findings showed that the yield, production and area of the growing mango crop in Andhra Pradesh would likely exhibit an upward trend in the future years. The projected figures for 2022-2023 were roughly 641 thousand hectares of mango area, 6565 thousand metric tonnes of production and 45.4 mt/ha of mango crop yield. A non-significant positive correlation was found between the area and mango yield.. KEYWORDS :Growth rates, Non-linear, ARIMA models, Ljung-Box Q test, 2 R , RMSE, MAE and Correlation.","PeriodicalId":50344,"journal":{"name":"International Journal of Agricultural and Statistical Sciences","volume":"12 2","pages":""},"PeriodicalIF":0.3,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141404683","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}