Current Research and Prospects on Postmortem Interval Estimation.
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The researches on postmortem interval （PMI） estimation are very important and meaningful in forensic science. PMI estimation is also an important issue that must be solved in practice of forensic pathology. There are many defects existing in traditional methods for PMI estimation, so it is imperative to introduce new pathways. With the emergence of various new technologies, the researches on PMI estimation have a tendency from simple to complex with a growth of data. The present review firstly summarizes a series of methods used for PMI estimation, and then gives an outlook for the application of artificial intelligence algorithms in this field.死亡时间推断最新研究与展望.死亡时间推断相关研究在法医学领域中有着极为重要的地位和意义，一直是法医病理学实践中亟待解决的重大问题之一。传统的方法与手段存在许多缺陷，新方法的引入势在必行。随着各种新技术的涌现，关于死亡时间推断的研究有着从简单到复杂的趋势，数据量也随之不断增长。本文首先总结了既往死亡时间推断的方法，最后对基于大数据人工智能算法在法医学死亡时间推断研究中的应用进行了展望。.法医病理学；死亡时间；大数据；人工智能；综述Keywords:
Interval estimation
In this paper, the random factors of the risk of criteria of river diversion are considered. The mathematical model of risk probability of the criteria of river diversion is established. The formulae of the point estimation and interval estimation of the risk probability are given.
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In this paper, the similar result by the anthor (Mathematics in Engineering,2002,2(18):59～63.) is generalized from one totality case to two totalities. The concepts of optimum of interval estimation and hypothesis testing of induced parameters are introduced for the new case and some relationships between these two concepts are dicussed. An optimum of an important interval estimation is proved.
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This paper considers the interval estimation of a kind of contamination data,gives the interval estimation of a parameter and the point estimation of the other two parameters.All the three parameters construct the model of the contamination data.
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In statistics estimation is a data analysis framework that uses a combination of effect sizes, confidence intervals, precision planning, and meta-analysis to plan experiments, analyze data and interpret results. A thorough explanation of point and interval estimation are discussed. Four important steps to understand interval estimation were explained. In addition to the scenario for more than one population.
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The estimation of project completion time is to be repeated several times in the project planning phase to reach the optimal tradeoff between time, cost, and quality. Estimation procedures provide either an interval or a point estimate. The computational load of several estimation procedures is reviewed. A multiple polynomial regression model is provided for major interval estimation procedures and shows that the accuracy in the probability model for activities is the most influential factor. The computational time does not appear to be an impeding factor, though it is larger for MonteCarlo simulation, so that the computational time can be traded off in search of a simpler estimation procedure.
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This chapter contains sections titled: Point estimation Interval estimation Point and interval estimation for arbitrary densities Assignments
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Objective: To set up the mathematical model of interval estimation of the inhibitory rate of cell growth under the medical effect. Methods:Using the theory of probability and statistical. Results: Deduce the formula of the interval estimation of small sample and large sample.Conclusion: Formula of interval estimation of the inhibitory of cell growth under the medical effect.
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