A nonparametric test for comparison of mean past lives

Bhattacharyya, Dhrubasish; Khan, Ruhul Ali; Mitra, Manimala

doi:10.1016/j.spl.2020.108722

Cited by 11 publications

(4 citation statements)

References 12 publications

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“…Indicating that relative mean departure time functions remain unchanged during time. Specifically, when r.v.s X and Y have finite means, the choices of t 1 � t and t 2 � +∞ in (10)…”

Section: Proportional Mean Departure Time Modelmentioning

confidence: 99%

“…ey have many applications in various disciplines such as reliability theory, survival analysis, risk theory, and actuarial studies, among others (cf. Ortega [4], Izadkhah and Kayid [5], Jayasinghe and Zeephongsekul [6], Kayid and Izadkhah [7], Kayid et al [8], Kayid and Izadkhah [9], Bhattacharyya et al [10], Balmert et al [11], Khan et al [12], and Kayid and Alrasheedi [13]). e inactivity time at random times is one of the important notions in reliability and queuing theory (see, e.g., Kayid et al [14] and Kundu and Patra [15]).…”

Section: Introductionmentioning

confidence: 99%

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Reliability Analysis of the Proportional Mean Departure Time Model

Shrahili

Kayid

2022

Journal of Mathematics

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In this article, the mean lifetime of an individual whose lives lost based on a function of the time before which the individual has passed away is considered. The measure is used to construct a semi-parametric model called proportional mean departure time model. Examples are given and evidences are gathered to show that the model is a proper alternative for the proportional mean past lifetime model. Closure properties of the model concerning several stochastic orders and a number of reliability properties are established. Finally, the model is extended to entertain random amounts of the parameter and establish a proportional mean departure time frailty model. Further stochastic properties using several stochastic orders are developed in the context of the frailty model.

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“…Indicating that relative mean departure time functions remain unchanged during time. Specifically, when r.v.s X and Y have finite means, the choices of t 1 � t and t 2 � +∞ in (10)…”

Section: Proportional Mean Departure Time Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Reliability Analysis of the Proportional Mean Departure Time Model

Shrahili

Kayid

2022

Journal of Mathematics

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“…Moreover, if the R/C When the ratio equals 1, the company has reached break-even. The T-test was used to compare the mean income between polyculture and monoculture farming systems [21].…”

Section: Tcmentioning

confidence: 99%

Economic of Pontianak Citrus (Citrus nobilis var. microcarpa) Production in Sambas Regency, Indonesia

Burhansyah¹,

Kilmanun²

2022

E3S Web Conf.

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Sambas Regency is one of the centers of Siamese citrus production in Indonesia. The growth of Pontianak Siam citrus production in Sambas Regency in the 2011-2021 period has decreased by an average of around 1% per year. The purpose of this study was to determine whether the efficiency of Pontianak's citrus farming is feasible and to analyze the factors that influence Pontianak Siamese citrus farming. The number of respondents is as many as 300 farmers. The method of determining the research area is purposively based. The sampling of farmers at the research site used a simple random sampling method. The method of analysis is the analysis of Siamese citrus farming income, the R/C ratio, and the Cobb- Douglas production function. The results showed that Pontianak citrus farming was feasible and efficient with an R/C value of 2.02. Factors that significantly affect farm production are seeds, labor, and work experience.

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“…Furthermore, if the R/C Ratio = 1, then the business is at the break-even point. We continued the analysis with the T-test (Bhattacharyya, Kan & Mitra, 2020) to test mean income differences between intercropping farming systems (polyculture) and monoculture.…”

Section: Farmers Income Analysismentioning

confidence: 99%

Intercropping Farming System and Farmers Income

et al. 2020

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Agriculture cultivation systems and farmer's income are the crucial issues in many agriculture-based developing countries. Our previous study proved that the polyculture system positively affects land productivity and land-use efficiency. This research investigated the relationship between intercropping farming systems and farmer's income. We hypothesized that the intercropping farming system increases farmer's income compared to monoculture. The farming income analysis was carried out using Microsoft Excel and STATA software. The results showed that the farmer's income derived from the intercropping farming system differs from monoculture. Based on the T-test, the intercropping farming system provided a higher income. Intercropping farming systems that have higher plant diversity, contributed to higher farmer income from different plant yields. Farmers that applied the intercropping system would harvest of 2-3 different plants from one cultivated land at the same time with regular planting distance. These indicated that the intercropping farming system reduces the risk of loss due to price fluctuations of products and the higher input costs during the production process.

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A nonparametric test for comparison of mean past lives

Cited by 11 publications

References 12 publications

Reliability Analysis of the Proportional Mean Departure Time Model

Reliability Analysis of the Proportional Mean Departure Time Model

Economic of Pontianak Citrus (Citrus nobilis var. microcarpa) Production in Sambas Regency, Indonesia

Intercropping Farming System and Farmers Income

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