《数理统计》课程思政教学的最新探索和实践

《数理统计》是统计专业基础课程,是研究随机现象客观规律性的数学学科,旨在从海量的实际数据中,挖掘具有实用价值的信息。当前世界处于百年未有之变局,统计学作为第四次工业革命的最重要理论基础之一,正在影响着社会的方方面面。传统的统计学课程思政内容侧重统计学理论本身,缺乏与当代最前沿的经济、社会、科技的联系,因此需要在传统思政内容的基础上,建设更加符合当代要求的思政课程。文章从统计学在生命科学、大数据、人工智能、新能源、数字经济等国家发展重要领域的应用为切入点,可以很好地结合社会热点进行思政教育。

统计学专业《数理统计》课程教学探索

本文针对目前统计学专业《数理统计》课程教学中存在的一些问题,尝试从教学内容、教学方法、教学手段等方面进行一系列的改革研究和实践探索,为相关课程的教学改革提供了参考。

工科研究生《数理统计》课程教学内容探究

为工科各专业硕士研究生开设《数理统计》课程是非常必要的，该课程的教学目的是培养学生掌握、领会现代的统计方法和思维，可以有针对性的在本工程领域的研究实践中正确应用，并得出合理的统计结论，并能对所获得的结论进行基本的统计解释。作为一门面向工程领域研究生的课程，该课程的课时数不宜过多，一般以48-64学时为宜。教学方式可以多样化，课堂教学与网络交流结合，理论介绍与软件应用训练结合。

中药专业《数理统计》电子作业剖析

一、中药专业电子作业简况 统计历来是医药院校学生感到困难的课程，这种困难，不仅反映在学习时，更反映在使用时。在中药专业《数理统计》课程的教学实践中，为化解现在学习的难度，开设了DPS统计实验；为化解今后使用的难度，布置了电子作业。所谓电子作业，是学生到图书馆查阅论文资料，用DPS软件对数据进行处理，通过电子邮件与教师交换意见。

《数理统计》中现代教育技术与传统教学应用研究

数理统计是研究随机现象统计规律性的一门学科，是理工类、经管类各专业必修的基础课，尤其是在经管类各专业中，有着非常重要的作用。本文结合自己的教学实践和教学经验来谈谈数理统计课程教学中现代教育技术与传统教学应用问题，为广大从事数理统计教学的教师提供参考。

从统计教育改革看《概率论与数理统计》教材建设

一：引言 1978年底，由国家统计局主持召开的峨眉会议所制定的统计教材规划，明确了两门统计学并存，即在财经院校统计学专业本科课程设置中，除开设传统的《社会经济统计学原理》课程外，还要开设《数理统计》。我院五届本科学生都是在二年级分别开设了这两门课。同时形成了各自的师资队伍．但是，在统计教育界，对《社会经济统计学原理》（以下简称《原理》）和《数理统计》关系的争论却日益复杂，

Identification of Sewage Monitoring Data Based on Mathematical Statistics

In order to reduce the enormous pressure to environmental monitoring work brought by the false sewage monitoring data, Grubbs method, box plot, t test and other methods are used to make depth analysis to the data, providing a set of technological process to identify the sewage monitoring data, which is convenient and simple.

Regression-Based Artificial Neural Network Methodology in Response Surface Methodology

Response surface methodology (RSM) is an important tool for process parameter optimization, robust design and other quality improvement efforts. When the relationship between influential input variables and output response is very complex, it’s hard to find the real response surface using RSM. In recent years artificial neural network(ANN) has been used in RSM. But the classical ANN does not work well under the constraints of real applications. An algorithm of regression-based ANN(R-ANN) is proposed in this paper, which is a supplement to the classical ANN methodology. It makes network closer to the response surface, so that training time is reduced and robustness is strengthened. The procedure of improving ANN by regressions is described and the comparisons among R-ANN,RSM and classical ANN are computed graphically in three examples. Our research shows that the R-ANN methodology is a good supplement to the RSM and classical ANN methodology, which can yield lower standard error of prediction under conditions that the scope of experiment is rigidly restricted.

Features and correct application of coal vitrinite reflectance index

The law of mathematical statistics, which the coal vitrinite reflectance index obeys, the existing vitrinite representing deviations, and the advantages of judging coalification and the shortage of judging coal type were analyzed. The advantages and disadvantages of various determination methods and the expression index and different methods of identifying vitrinite on the determination results were compared. The vitality of coal vitrinite reflectance depends on its full play the unique function of reflectance histogram and the systematic errors between different determination methods do not affect the application based on reflectance histogram are considered.

Statistical Analysis of Regularity of Pesticide Residues in Vegetables Produced in Inner Mongoli

[Objective]The paper was to study regularity of pesticide residues in vegetables produced in Inner Mongolia.[Method]Mathematical statistic analysis was carried out on 6 800 samples of veggies,fruits,leguminous vegetables,nuts and seeds produced in Inner Mongolia.[Result]The dominated vegetables in Inner Mongolia were green leafy vegetables,solanaceous vegetables and melon vegetables,and their yields accounted for 70%of the total vegetables production.Since 2003,with the rapid increase of detected vegetable numbers,the status of vegetable quality safety had entered into a new stage of sustainable steady after a rapid decline or periodic fluctuation,and the differences in safety levels were obvious,of which the range of exceeding standard rate of pesticide residues in solanaceous vegetables,melon vegetables and leguminous vegetables(about 55%of the total vegetables)was under 2%,with average values of 1.1%,1.6%and 3.1%,respectively.They belonged to stable type.The exceeding standard rate of pesticide residues in green leafy vegetables and Chinese cabbage group(about 30%of total vegetables)presented a decreasing trend year by year,wondering in the range of 7%-10%.They belonged to main risk type.The time period of exceeding standard of pesticide residues in root vegetables and cole vegetables was under predictable,and its exceeding standard rate in some years was over 5%(amplitude variation is over 15percentage points).They belonged to random risk type.The kinds of pesticides,which exceeding standard rate in vegetables were relatively intensive,presented variance in different vegetable species.70%of the pesticides belonged to intermittent over-limits and the probability was below 5%.About 20%tradition pesticides often exceeded standard and their probabilities were over 30%.The exceeding standard of organophosphorus and carbamates pesticides in vegetables presented a decreasing tend,while the risk of some new pesticides containing nitrogen element and high effective pyrethroids showed an increasing tendency.[Conclusion]The paper provided decision making services for agricultural management departments.

Computer Management of Quantitative Analysis Chemistry Experiment

The application of computer in the quantitative analysis chemistry experiment is a chemistry experiment teaching applications software, developed by Visual Basic （6.0）, based on the content of quantitative analysis chemistry experiment of chemistry major in higher institute. This software has the function of the automatic processing the experimental data, the automatic generation of test report copies, and the automatic evaluation of students＇ experimental results, which solve the reliability, objectivity and accuracy problems of the students＇ experiment data processing and evaluation, and avoid interference with human factors. The software has the characteristic of the easy installation, the easy operation, the strong practicability, pertinence, the systematicness and the running stability, so it provides a platform in the quantitative analysis chemistry experiment for the students＇ assessment system of automatic processing, and it has a high popularization value. The project＇s technical route design is reasonable, the research method is correct, and the experimental data processing results are reliable, which has reached the leading domestic level in the quantitative analysis chemistry experiment teaching field of computer data processing. And this project has been through the achievements appraisal of Gansu Provincial Sci. ＆ Tech. Department.

Statistical Treatment of Low-Energy Nuclear Level Schemes

The level density parameter and the back shift energy E1 are determined for nuclei with A-values across the whole periodic table from fits to complete level schemes at low excitation energy near the neutron binding energies. We find that the energy back shift EI shows complicated behavior and depends on the type of the nucleus, even-even, odd mass, and odd-odd. The spin cut-off factor has also been investigated for nuclei mentioned above. The results are compared with the previous results and different experimental data on level densities.

New model for deducing directional extrema based on multivariate extremum statistical theory

The parameters of principal and directional extrema in a marine environment are important in marine engineering design, especially for appropriate construction of oceanic platforms and other structures. When designing wave walls and break water structures, the orientation of the breakwater or seawall depends mainly on the direction of the strongest waves. However, the strength of the breakwater and the elevation of the seawall depend on the magnitude of the biggest wave height of the strongest waves. Thus, identification of directional extrema plays an important role in the design of wave factors. When calculating the directional extremum, different materials may require different specific computational methods, yet few theoretical studies have been conducted in this field of research. Based on multivariate extremnm statistical theory, this paper utilizes a discrete random variable to build a joint probability model compounded by a discrete random variable and a multivariate continuous random variable. Furthermore, this paper provides the first investigation on the theories and methodologies to deduce wave directional extrema. The results provide tools for both creating the calculation method of the directional extremum value and providing the rational directional extremum parameters for marine engineering design.

The new method of prediction on mining subsidence and deformation

A new probability function of mining overlying strata and subsidence is put forward that has a general statistical significance based on the ideal stochastic medium displacement model. It establishes a new system of prediction on horizontal mining subsidence and deformation, which gives a new method for prediction on mining subsidence and deformation.

The Exhibition Performance Appraisal Index System Based on Stakeholder Theory

Exhibition performance should be evaluated from different perspectives of stakeholders.The benefits of each stakeholder can not be satisfied when evaluating the exhibition performance from a single perspective or only evaluating the economic performance of the exhibition.In this paper,the stakeholders are defined on the basis of questionnaire investigation and classified by mathematical statistical method.According to the requirements of the stakeholders,the exhibition performance appraisal indicators are extracted and simplified by factor analysis,which leads to the formation of a set of performance appraisal index system.It is an instructive attempt to work out the exhibition performance appraisal model from the perspective of stakeholders,which may provide theoretical foundation and practice instruction for exhibition performance appraisal in our country.

Strategy research on new urban space development and new deepwater terminal in Hengsha

From a strategic perspective,the paper presents a forward-looking thinking supported by interdisciplinary of modern logistics,estuary and coast,environment and ecology,economic management and mathematical statistics. It leads to a reasonable solution to space expansion by reclamation. Construction of new deepwater terminal is the best usage of land resources and can strengthen the status of Shanghai as an international shipping center,thus support the preparation and strategic decision of future urban development of Shanghai.

A New Statistical Tool： Scalar Score Function

The basic inference function of mathematical statistics, the score function, is a vector function. The author has introduced the scalar score, a scalar inference function, which reflects main features of a continuous probability distribution and which is simple. Its simplicity makes it possible to introduce new relevant numerical characteristics of continuous distributions. The t-mean and score variance are descriptions of distributions without the drawbacks of the mean and variance, which may not exist even in cases of regular distributions. Their sample counterparts appear to be alternative descriptions of the observed data. The scalar score itself appears to be a new mathematical tool, which could be used in solving traditional statistical problems for models far from the normal one, skewed and heavy-tailed.

Analysis of key technologies and development of integrated digital processing system for cast blasting design

Casting blast can greatly reduce the stripping cost and improve the production capacity of opencast coal mines. Key technologies including high bench blasting, inclined hole, millisecond blasting, pre-splitting blasting and casting blast parameters determination which have influence on the effect of casting blast have been researched with the combination of the ballistic theory and experience in mines. The integrated digital processing system of casting blast was developed in order to simplify the design process of casting blast, improve working efficiency and veracity of design result and comprehensively adopt the software programming method and the theory of casting blast. This system has achieved five functions, namely, the 3D visualization graphics management, the intelligent management of geological information, the intelligent design of casting blast, the analysis and prediction of the blasting effect and the automatic output of the design results. Long-term application in opencast coal mines has shown that research results can not only reduce the specific explosive consumption and improve the blasting effect, but also have high value of popularization and application.

Process Capability Analysis of Delivering Neonatal Care with Normal Weight （Case Study of Neonatal Weight Data at a Maternity Clinic in Banjarmasin）

Statistical Quality Control （SQC） is used to analyze and monitor quality characteristic measurements of normal neonatal weight in a maternity clinic in Banjarmasin in this paper. The objective of this study is to assist medical practitioners in observing pregnant women to deliver their babies with normal weight. It is also assumed that pregnant women who delivered their babies in the clinic have been monitored during their nine-month pregnancy. Thus, they can manage their own pregnancy to deliver normal weight babies. The use of Statistical Process Control （SPC） tools, such as frequency histogram, probability plot, and the implementation of Shewhart, R, and S control charts as primary techniques, are presented to display the monitoring aspects of the process. In addition, Process Capability Analysis （PCA） is performed to ensure that the process outcomes are capable of meeting certain requirements or specifications. The Process Capability Ratio （PCR） for the process is also presented. This analysis is an essential part of an overall quality improvement program.