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Journal of Statistics Applications & Probability Letters最新文献

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The Disproportion Statistic 不均衡统计
Pub Date : 2019-05-01 DOI: 10.18576/jsapl/060202
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引用次数: 0
Estimation of Parameters of Alpha Power Inverse Weibull Distribution Under Progressive Type-II Censoring 渐进式ii型滤波下Alpha幂逆威布尔分布参数的估计
Pub Date : 2019-05-01 DOI: 10.18576/jsapl/060204
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引用次数: 2
Statistical Inference for Pareto Distribution under Generalized Progressive Hybrid Censoring Scheme 广义渐进混合滤波方案下Pareto分布的统计推断
Pub Date : 2019-05-01 DOI: 10.18576/jsapl/060203
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引用次数: 0
Statistical Inference on the ESEP Tobit Regression Model ESEP Tobit回归模型的统计推断
Pub Date : 2019-01-01 DOI: 10.18576/JSAPL/060101
A. Flaih, Jose Guardiola, H. Elsalloukh, Chary Akmyradov
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引用次数: 6
A Study of the Sequential Test for the Parameter of the Odd Generalized Exponential Gompertz Distribution 奇数广义指数Gompertz分布参数的序贯检验研究
Pub Date : 2019-01-01 DOI: 10.18576/jsapl/060103
Surinder Kumar, M. Sharma
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引用次数: 0
Comparison of the Estimation Efficiency of Regression Parameters Using the Bayesian Method and the Quantile Function 贝叶斯方法与分位数函数对回归参数估计效率的比较
Pub Date : 2019-01-01 DOI: 10.18576/JSAPL/060102
Ismail Hassan Abdullatif Al-Sabri
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引用次数: 0
A New Asymmetric Loss Function: Estimation of Parameter of Exponential Distribution 一种新的非对称损失函数:指数分布参数的估计
Pub Date : 2019-01-01 DOI: 10.18576/JSAPL/060105
D. Kumar, Pradip Kumar, S. Singh, U. Singh
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引用次数: 6
Relations for Moments of Generalized Order Statistics from Power Lomax Distribution 幂Lomax分布下广义阶统计量矩的关系
Pub Date : 2019-01-01 DOI: 10.18576/jsapl/060104
S. Zarrin, Haseeb Athar, Y. Abdel-Aty
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引用次数: 7
On Recurrence Relations for the GS-Distribution of Lower Generalized Order Statistics 下广义阶统计量gs -分布的递推关系
Pub Date : 2014-03-01 DOI: 10.5373/JARAM.1790.062113
M. El-Din
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引用次数: 0
Estimation of Monthly Probability of Conception based on Lindley Conditional Risk of Intercourse 基于Lindley条件性交风险的每月受孕概率估计
Pub Date : 1900-01-01 DOI: 10.18576/jsapl/060303
Ujjaval Srivastava, K. K. Singh, A. Pandey
Several researchers have tried to study the relationship between timing and frequency of intercourse with the monthly probability of conception based on prospective data. However, in reality, the data on pattern of intercourse and days of ovulation in each woman is hardly available. In that condition, it is imperative to compute the monthly probabilities of conception theoretically. Assuming Lindley distribution for the conditional risk of intercourse (i.e. increasing hazard rate for intercourse), we have tried to calculate the probabilities of all possible coital patterns and associated probabilities of conception on the four days of fertile period. Then, these calculated probabilities are utilized to estimate monthly probability of a conception.
一些研究人员试图研究性交时间和频率与基于前瞻性数据的每月受孕概率之间的关系。然而,在现实中,很难获得每个女性的性交模式和排卵天数的数据。在这种情况下,理论上计算每月受孕概率是必要的。假设有条件性交风险的林德利分布(即性交风险增加率),我们试图计算所有可能的性交模式的概率以及在四天的生育期受孕的相关概率。然后,利用这些计算出的概率来估计每月受孕的概率。
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引用次数: 0
期刊
Journal of Statistics Applications & Probability Letters
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