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Factors influencing customer’s online purchase decision of vegetables 影响顾客网上购买蔬菜决策的因素
International journal of statistics and applied mathematics Pub Date : 2023-09-01 DOI: 10.22271/maths.2023.v8.i5so.1332
Prachi Singh, Ruchi Singh, Aditi Mathur
{"title":"Factors influencing customer’s online purchase decision of vegetables","authors":"Prachi Singh, Ruchi Singh, Aditi Mathur","doi":"10.22271/maths.2023.v8.i5so.1332","DOIUrl":"https://doi.org/10.22271/maths.2023.v8.i5so.1332","url":null,"abstract":"The purpose of this study is to examine and comprehend the influencing elements that affect vegetable purchases made by consumers through online channels. Consumers spend a significant portion of their food budget on fresh vegetable. Every customer wants to get the best value possible when buying fresh vegetable, as well as good-quality, pest-and disease-free, hygienic, and safe product at a reasonable price. The effectiveness of finding purchase information online, convince a customer to provide an alternative evaluation, price consideration, quality consideration, secured transaction, refund policy, gift vouchers/offers, and the ability to purchase in bulk are just a few of the many factors that a customer must take into account when shopping online.","PeriodicalId":500025,"journal":{"name":"International journal of statistics and applied mathematics","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135737010","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}
引用次数: 0
Designing of quality interval skip-lot sampling plan with multiple deferred state sampling plan 多延迟状态抽样计划的质量间隔跳批抽样计划设计
International journal of statistics and applied mathematics Pub Date : 2023-09-01 DOI: 10.22271/maths.2023.v8.i5b.1222
V Sangeetha, K Bhuvaneswari
{"title":"Designing of quality interval skip-lot sampling plan with multiple deferred state sampling plan","authors":"V Sangeetha, K Bhuvaneswari","doi":"10.22271/maths.2023.v8.i5b.1222","DOIUrl":"https://doi.org/10.22271/maths.2023.v8.i5b.1222","url":null,"abstract":"The Importance of this paper is to account for the possibility of dependence among the items of a sample. The development of new method for designing sampling plans based on range of quality instead of point-wise description of quality by invoking a novel approach called Quality Regions. This method seems to be versatile and can be adapted to the elementary production process where the stipulated quality level is advisable to fix at a later stage and provides a new procedure meant for designing of Quality interval skip-lot sampling plan with multiple deferred state sampling plan MDS (0, 2). (MAPD) is also considered for the selection of parameters for Skip-lot sampling plan. New quality descriptors called operating ratios are introduced to design the sampling plan.","PeriodicalId":500025,"journal":{"name":"International journal of statistics and applied mathematics","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135433541","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}
引用次数: 0
A new generalization of quasi Amarendra distribution with some characterizations and its applications 拟Amarendra分布的一种新推广及其一些表征及其应用
International journal of statistics and applied mathematics Pub Date : 2023-09-01 DOI: 10.22271/maths.2023.v8.i5b.1307
Malathi S, Parthasarathy S, Sasikala S
{"title":"A new generalization of quasi Amarendra distribution with some characterizations and its applications","authors":"Malathi S, Parthasarathy S, Sasikala S","doi":"10.22271/maths.2023.v8.i5b.1307","DOIUrl":"https://doi.org/10.22271/maths.2023.v8.i5b.1307","url":null,"abstract":"In this manuscript, we have introduced a new model of quasi Amarendra distribution called as weighted quasi Amarendra distribution has been developed. The executed distribution has been addressed with different structural properties and its parameters are estimated by using the method of maximum likelihood estimation. Finally, a real data set has been analyzed and inspected to examine the applicability of a new distribution.","PeriodicalId":500025,"journal":{"name":"International journal of statistics and applied mathematics","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135736175","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}
引用次数: 0
Simulating techniques for storage study of dietary peda enriched with flaxseed powder 富含亚麻籽粉饲料饲料贮藏模拟技术研究
International journal of statistics and applied mathematics Pub Date : 2023-09-01 DOI: 10.22271/maths.2023.v8.i5sm.1298
Ankur Trivedi, Tarun Verma, Somveer ., B Lakshmaiah, Ankur Aggarwal
{"title":"Simulating techniques for storage study of dietary peda enriched with flaxseed powder","authors":"Ankur Trivedi, Tarun Verma, Somveer ., B Lakshmaiah, Ankur Aggarwal","doi":"10.22271/maths.2023.v8.i5sm.1298","DOIUrl":"https://doi.org/10.22271/maths.2023.v8.i5sm.1298","url":null,"abstract":"India is the leading milk producer in world with annual production of 221.1 million tons. The nation is having vast potential for traditional Indian dairy products (TIDPs) including khoa, Peda, rasogolla etc. Peda is the prime consuming product in northern Indian states. It is prepared from Pindi variety of Khoa. To improve the dietary value of Peda, flaxseeds are added at different concentration (2.0, 2.5 and 3.0% on w/w basis). Stevia was added as natural sweetener at 0. 0.375% of khoa. The prepared Peda samples were examined for chemical properties after preparation and during storage of 3, 6, 9, 12 and 15 days. Computational models were developed to predict the chemical changes during storage period.","PeriodicalId":500025,"journal":{"name":"International journal of statistics and applied mathematics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135736545","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}
引用次数: 0
Bridging the gap: Exploring farmer feedback on agricultural extension training 弥合差距:探讨农民对农业推广培训的反馈
International journal of statistics and applied mathematics Pub Date : 2023-09-01 DOI: 10.22271/maths.2023.v8.i5sn.1318
Jigyasa Sharma, Richa Khushwaha, Sachin Kumar, Arun Lather
{"title":"Bridging the gap: Exploring farmer feedback on agricultural extension training","authors":"Jigyasa Sharma, Richa Khushwaha, Sachin Kumar, Arun Lather","doi":"10.22271/maths.2023.v8.i5sn.1318","DOIUrl":"https://doi.org/10.22271/maths.2023.v8.i5sn.1318","url":null,"abstract":"","PeriodicalId":500025,"journal":{"name":"International journal of statistics and applied mathematics","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135737383","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}
引用次数: 0
Construction of acceptance sampling plans for the ranked set sampling using: Laplace Distribution 利用拉普拉斯分布构建排序集抽样的验收抽样方案
International journal of statistics and applied mathematics Pub Date : 2023-07-01 DOI: 10.22271/maths.2023.v8.i3c.1040
Dr. PK Deveka, K Saranya
{"title":"Construction of acceptance sampling plans for the ranked set sampling using: Laplace Distribution","authors":"Dr. PK Deveka, K Saranya","doi":"10.22271/maths.2023.v8.i3c.1040","DOIUrl":"https://doi.org/10.22271/maths.2023.v8.i3c.1040","url":null,"abstract":"In this paper, a new Single Sampling Plan in light of ranked data scheme is proposed. Two main prerequisites are considered for the new plan: The lifetime of the test units is assumed to follow the Logistic distribution, and the data are selected by using the ranked set sampling scheme from a large lot. The distribution function characterization under the ranked set sampling scheme is derived assuming that the set size is known; the minimum number of set cycle and consequently the minimum sample size necessary to ensure the operating characteristic values of the ranked sampling plans as well as the producer’s risk are presented. An examples based on the results obtained are given.","PeriodicalId":500025,"journal":{"name":"International journal of statistics and applied mathematics","volume":"224 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135569088","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}
引用次数: 0
A comparison of ARIMA and NNAR models for production of rice in the state of Andhra Pradesh 安得拉邦水稻生产的ARIMA和NNAR模型的比较
International journal of statistics and applied mathematics Pub Date : 2023-07-01 DOI: 10.22271/maths.2023.v8.i3c.1041
G Vijayalakshmi, K Pushpanjali, Dr. A Mohan Babu
{"title":"A comparison of ARIMA and NNAR models for production of rice in the state of Andhra Pradesh","authors":"G Vijayalakshmi, K Pushpanjali, Dr. A Mohan Babu","doi":"10.22271/maths.2023.v8.i3c.1041","DOIUrl":"https://doi.org/10.22271/maths.2023.v8.i3c.1041","url":null,"abstract":"If the data is linear and non-stationary, the models viz. Auto-Regressive (AR), Moving Average (MA), and Auto-Regressive Moving Average (ARMA) models cannot be used. So, an important forecasting technique called Auto-Regressive Integrated Moving Average (ARIMA) with (p, d, q) terms can be used. The best feature of Artificial Neural Networks when it is applied to forecasting data is its inherent capability of nonlinear modeling without any presumption about the statistical distribution of the given data. Model selection criteria based on RMSE for ARIMA and Neural Network Autoregressive (NNAR) models are computed. An appropriate model has to be framed effectively for the production wheat data in the state of Andhra Pradesh taken during the period from 1982 to 2022 (for 40 years).","PeriodicalId":500025,"journal":{"name":"International journal of statistics and applied mathematics","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135568982","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}
引用次数: 0
Prediction of India's demographic and economic variables using the neural network auto-regression model 用神经网络自回归模型预测印度人口和经济变量
International journal of statistics and applied mathematics Pub Date : 2023-07-01 DOI: 10.22271/maths.2023.v8.i4sh.1121
Bheemanna ., MN Megeri
{"title":"Prediction of India's demographic and economic variables using the neural network auto-regression model","authors":"Bheemanna ., MN Megeri","doi":"10.22271/maths.2023.v8.i4sh.1121","DOIUrl":"https://doi.org/10.22271/maths.2023.v8.i4sh.1121","url":null,"abstract":"Forecasting demographic and economic variables is an essential component of research that will help society and the government plan for the best or worst in the future. The data on demographic variables are collected from the Census of India and SRS publications, and economic variables are gathered from the Economic Survey of India from 1971 to 2020. The goal of this research is to forecast demographic and economic factors using the NNAR approach. Because statistical approaches such as the least RMSE training and testing values are used in the process of identifying this method, this research is expected to contribute to the neural network method coupled with the statistical method. The results of this study should be able to predict accurate demographic and economic characteristics. A Neural Network Auto-regression (NNAR) model is used to predict demographic and economic variables for the next ten years, with the best forecasting model being the NNAR (4,4), (4,4), (4,4), (11,6), (10,6), (10,6), (10,6), (5,6), (10,6), (6,4) models. The study's findings show that, except for GDP, all of the selected variables fit the NNAR model well and a comparison shows that the rural population is best fitted when using Mean Absolute Percentage Error (MAPE) when compared to the entire set of demographic and economic variables. The Rural population is the best-fitting model of the three populations; under-five mortality is well-fitting among vital rates; and age dependency ratio is the best forecasting in economic variables using mean absolute percentage error (MAPE).","PeriodicalId":500025,"journal":{"name":"International journal of statistics and applied mathematics","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135852119","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}
引用次数: 1
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