{"title":"Mathematical Techniques for Computing the Reliability of a Parallel-series System of Order (2,3,1) under Rayleigh Failure Laws","authors":"Anju Narwal, S.C. Malik, Anuradha Anuradha","doi":"10.59467/ijass.2024.20.217","DOIUrl":"https://doi.org/10.59467/ijass.2024.20.217","url":null,"abstract":"Some well-known mathematical techniques have been used to compute the reliability of a parallel-series system of order (2,3,1). The system is composed of four units labelled as A, B, C and D. The configuration involves two parallel subsystems: the first containing units A, B and C arranged in series and the second comprising a single unit D. The failure rate of units is assumed to follow the Rayleigh distribution. With the use of the decomposition method, cut set method and event space method, expressions for both reliability and Mean Time to System Failure (MTSF) have been derived. By considering all units to be identical, the reliability measures have been obtained numerically for specific parameter values. The trends of these measures have been represented graphically to understand the effect of parameters. The study has its practical significance in assessing the reliability of solar panel system. . KEYWORDS :Parallel-series System, Rayleigh failure laws, Decomposition method, Cut set method, Event space method.","PeriodicalId":50344,"journal":{"name":"International Journal of Agricultural and Statistical Sciences","volume":"66 s1","pages":""},"PeriodicalIF":0.3,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141392538","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":"Efficient Classes of Robust Ratio Type Estimators of Mean and Variance in Adaptive Cluster Sampling","authors":"Yashpal Singh Raghav, Rajesh Singh, Rohan Mishra, Nitesh Kumar Adichawal, Irfan Ali","doi":"10.59467/ijass.2024.20.173","DOIUrl":"https://doi.org/10.59467/ijass.2024.20.173","url":null,"abstract":"This paper proposes two classes of robust ratio type estimators of finite population mean and two classes of robust ratio type estimators of finite population variance using a single auxiliary variable under the adaptive cluster sampling design. Seven robust ratio type estimators have been developed from each class. The generalized expressions of bias and mean square error for each class have been derived up to the first order of approximation. The exact expressions of bias and MSE for all the developed estimators have been presented. Using simulation studies conducted in R programming, the high efficiency of all the developed estimators over similar existing estimators in adaptive cluster sampling has been demonstrated. . KEYWORDS :Adaptive cluster sampling, Classes of robust ratio type estimators, Hidden clustered data, Estimation of mean, Estimation of variance.","PeriodicalId":50344,"journal":{"name":"International Journal of Agricultural and Statistical Sciences","volume":"50 8","pages":""},"PeriodicalIF":0.3,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141412990","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":"Improved Product-type Estimator for Estimating Population Mean using Harmonic Mean","authors":"Nirupama Sahoo, Saradaprasan Jena","doi":"10.59467/ijass.2024.20.195","DOIUrl":"https://doi.org/10.59467/ijass.2024.20.195","url":null,"abstract":"In this paper, we have developed a new product-type estimator using harmonic mean of known auxiliary variable. The bias and mean square error of proposed newly product -type estimator has been derived up to first order of approximation. An empirical study has been carried out to show the performance of proposed estimator along with existing estimators. It is observed that the proposed product-type estimator is more efficient than the competing estimators. For theoretical support a general study is also carried out using normal and Weibull distribution.. KEYWORDS :Bias, Mean square error, Product estimator, Auxiliary variable, Normal distribution, Weibull distribution.","PeriodicalId":50344,"journal":{"name":"International Journal of Agricultural and Statistical Sciences","volume":"115 16","pages":""},"PeriodicalIF":0.3,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141407026","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}
D. Kalaiarasi, A. Rohini, N. Palanichamy, K.M. Shivakumar, R. P. Selvi, K. C. Sekhar
{"title":"Analyzing Time-Frequency Relations between Agricultural Commodities and Equity Index in India during Covid-19 Pandemic","authors":"D. Kalaiarasi, A. Rohini, N. Palanichamy, K.M. Shivakumar, R. P. Selvi, K. C. Sekhar","doi":"10.59467/ijass.2024.20.225","DOIUrl":"https://doi.org/10.59467/ijass.2024.20.225","url":null,"abstract":"The study examines the interdependence between the returns of Nifty 50 Equity Index and Agricultural Commodities cotton, mentha oil, guar seed, jeera, turmeric and coriander over a period of time. By applying wavelet analysis, the interdependence of agricultural commodities and equity index during the COVID-19 pandemic, identified periods of both strong and weak correlations between these markets. It is critical to note that the reasons for the link between agricultural commodities and equity indexes during COVID-19 pandemic may vary according to market conditions, regional considerations and other contextual factors. According to this study, Nifty 50 has higher co-movements with MCX Cotton, MCX Mentha Oil, and NCDEX Turmeric and lower co-movements with NCDEX Guar seed, NCDEX Jeera and NCDEX Coriander. The low coherence intervals indicate the ability for commodities investments to diversify in the face of a pandemic such as Covid-19. The observed trends by commodity category revealed their potential utility in the development of cross-asset hedge strategies. Thus, combining commodities and stocks increases performance over a variety of investment horizons.. KEYWORDS :Commodities market, Equity market, Co-movements, Wavelet analysis, Covid-19.","PeriodicalId":50344,"journal":{"name":"International Journal of Agricultural and Statistical Sciences","volume":"116 13","pages":""},"PeriodicalIF":0.3,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141406843","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}
Abdul Rahman Cemda, H.B. Tarmizi, Suwardi Lubis, Agus Purwoko
{"title":"Optimizing Koto Panjang Reservoir Utility for Regional Sustainable Tourism Development in Kampar Regency, Riau Province","authors":"Abdul Rahman Cemda, H.B. Tarmizi, Suwardi Lubis, Agus Purwoko","doi":"10.59467/ijass.2024.20.231","DOIUrl":"https://doi.org/10.59467/ijass.2024.20.231","url":null,"abstract":"This study aims to determine the effect of the development of the Koto Panjang reservoir as a tourist destination on the development of the Kampar Regency area through optimization of the use of the reservoir. The data collection method used is conducting structured interviews and distributing questionnaires. The validity and reliability of the questionnaire was applied before data collection was carried out. Analysis of the data used in this study uses Structural Equation Modeling (SEM) with the SmartPLS 3.0 tool. The results of the study show that in the existing conditions the development of Koto Panjang reservoir as a tourist destination is more attractive to visitors in terms of beautiful scenery than other elements of sustainable tourism. However, visitors see various potentials for increasing the tourism sector, especially in terms of culinary and resting. Visitors are also interested in selfie tours and water tours offered by the reservoir. . KEYWORDS :Tourism destinations, Optimization of reservoir utilization, Regional development, Koto Panjang reservoir, Reservoir tourism.","PeriodicalId":50344,"journal":{"name":"International Journal of Agricultural and Statistical Sciences","volume":"97 1","pages":""},"PeriodicalIF":0.3,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141405908","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":"Enhanced Estimation of Population Variance under Simple Random Sampling with an Application to Real Data","authors":"Anoop Kumar, Rida Suhail, Shubhra Katara","doi":"10.59467/ijass.2024.20.87","DOIUrl":"https://doi.org/10.59467/ijass.2024.20.87","url":null,"abstract":"In this paper, we present an enhanced class of estimators for finite population variance under simple random sampling that incorporates an auxiliary information. The equations for bias and mean square error of the proposed estimators are produced up to the first order of approximation. Some well-known estimators are found as a special case of the proposed estimators for suitably chosen values of the scalars. The effectiveness of the proposed estimators is calculated in relation to the existing estimators both theoretically and empirically using five real data sets. The empirical results exhibit the superiority of the suggested estimators over to the existing estimators in each population.. KEYWORDS :Auxiliary variable, Mean square error, Variance estimation, Class of estimators.","PeriodicalId":50344,"journal":{"name":"International Journal of Agricultural and Statistical Sciences","volume":"159 2","pages":""},"PeriodicalIF":0.3,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141402258","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}
Devashish Devashish, Mohammad Parvej, Athar Ali Khan
{"title":"Advancing Bayesian Inference: Fitting Type I Half-logistic Nadarajah-Haghighi Distribution and its Comparison with Related Distributions for Censored Survival Data","authors":"Devashish Devashish, Mohammad Parvej, Athar Ali Khan","doi":"10.59467/ijass.2024.20.263","DOIUrl":"https://doi.org/10.59467/ijass.2024.20.263","url":null,"abstract":"In recent years, the field of Bayesian modeling of generalized distributions has garnered substantial attention. This surge in interest can be attributed to the remarkable strides made in computational capabilities and the enhanced accessibility of sophisticated software tools. This study aims to apply Bayesian inference methods to the Type I Half-logistic Nadarajah- Haghighi model and compares it with the Exponential model and the Type I Half-logistic Exponential model. These distributions are analyzed and fitted to censored survival data using the probabilistic programming language STAN. To incorporate censored mechanisms within the STAN framework, customized codes are developed. The models are then compared using fully Bayesian model selection methods.. KEYWORDS :Censored data, Nadarajah-Haghighi distribution, Type I half-logistic family, LOOIC, WAIC, STAN.","PeriodicalId":50344,"journal":{"name":"International Journal of Agricultural and Statistical Sciences","volume":"21 13","pages":""},"PeriodicalIF":0.3,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141415453","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":"Influence of Seasonal Level Shift Outlier on the Residuals of SARMA(1, 1) Model","authors":"S. Shrivallabha, R. Suresh","doi":"10.59467/ijass.2024.20.247","DOIUrl":"https://doi.org/10.59467/ijass.2024.20.247","url":null,"abstract":"Time series often contain discrepant observations which are called outliers. Seasonal Level Shift (SLS) outlier is one such which occurs in seasonal time series. And the importance of residuals in time series model building is well known. Thus in this paper, through analytical expressions, we establish the effect of the presence of an SLS outlier on the residuals of the Seasonal Autoregressive Moving Average model of order (1, 1) (SARMA(1, 1)), followed by a simulation study. One of the principle conclusions of this paper is that the SLS outlier not only affects the residuals at its time of incidence but also at the subsequent seasons. And, the extent of the effect depends on the magnitude of the outlier and parameters of the underlying model.. KEYWORDS :Time series, Seasonal level shift, Residuals, Seasonal autoregressive moving average.","PeriodicalId":50344,"journal":{"name":"International Journal of Agricultural and Statistical Sciences","volume":"11 43","pages":""},"PeriodicalIF":0.3,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141389740","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":"Alternate Method for the Robustness of the Block Design of Block Sizes two against the Loss of Whole Blocks","authors":"D.K. Ghosh, N. R. Desai","doi":"10.59467/ijass.2024.20.53","DOIUrl":"https://doi.org/10.59467/ijass.2024.20.53","url":null,"abstract":"The usual procedure for indentifying the block design to be connected is rank of C matrix (information matrix) should be (v ? 1), if this violates then design becomes disconnected. Several authors obtained robustness criteria against the loss of one block or more than one blocks based on connected property. Because connectedness is one of the important criteria to find the robustness of the residual design. Tsai and Liao (2013) discussed the minimum break down criteria and connectedness criteria of block design to obtain the robust design against the lost of whole block. In this investigation, we have developed other criteria, which is alternate method of Tsai and Liao (2013) to find connectedness of the block design based on block information matrix, Fd of the block design of size two. Further, we have also observed as numbers of blocks are being deleted, the overall A-efficiency of the residual design decreases.. KEYWORDS :Block design, Residual design, Robust design , Connectedness.","PeriodicalId":50344,"journal":{"name":"International Journal of Agricultural and Statistical Sciences","volume":"2 3","pages":""},"PeriodicalIF":0.3,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141411243","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}
Tarun Kumar, Reema Singh, Pradeep Chaudhary, M. K. Sharma
{"title":"Cost Analysis of Fuzzy Transportation Models with Ranking Function in Two Stages","authors":"Tarun Kumar, Reema Singh, Pradeep Chaudhary, M. K. Sharma","doi":"10.59467/ijass.2024.20.161","DOIUrl":"https://doi.org/10.59467/ijass.2024.20.161","url":null,"abstract":"According to the research conducted so far, a crisp value is obtained by defuzzifying the fuzzy value using any defuzzification approach and this value is then used to analyze the entire problem. It is possible, however, that the crisp value generated using existing approaches may not exactly be matched with the fuzzy values. It is probable that any figure slightly early or slightly later than the obtained crisp value will produce the better outcome. So, the purpose of this research work is to provide a technique that can defuzzify fuzzy parameter values so that there are more than one possible values following a small adjustment to the technique. In this paper, the cost, demand and availability of transportation problems are taken in the form of trapezoidal fuzzy number. The advantage of the methodology developed is that the any value close to the crisp value obtained from the existing methods of trapezoidal fuzzy number or a value in the range of the trapezoidal fuzzy number as desired by the decision maker can be obtained. This method has the benefit of allowing the decision makers to receive as much crisp cost as desired in the fuzzy transportation problem. Which facilitated more accurate analysis of fuzzy transportation models. The numerical issue provides an explanation of the recommended strategy.. KEYWORDS :Fuzzy transportation problem (FTP), Trapezoidal fuzzy number (TrFN), Optimization, Ranking function.","PeriodicalId":50344,"journal":{"name":"International Journal of Agricultural and Statistical Sciences","volume":"22 13","pages":""},"PeriodicalIF":0.3,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141397403","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}