In the usual study and work, you will always come into contact with papers. Thesis is a comprehensive style, through which we can directly see a person's comprehensive ability and professional foundation. In order to make your writing easier and more convenient, I collected the following statistical papers. Welcome to read the collection.

With the development of China's economy, statistical thought and work are playing an increasingly important role in China's economic development. This paper discusses the statistical thought and its guiding significance to statistical work.

Keywords: statistical thought; Statistical work; affect

In China's current statistical work, understanding the true meaning and thought of statistics is conducive to improving the statistical level and the overall quality of statisticians. For the outside world, it is conducive to establishing a statistical authority that other work and other theories can't replace and compare.

First of all, briefly introduce the statistical thought.

Statistical thought refers to the world outlook and methodology that should be established in statistical work. Philosophically speaking, the world outlook and methodology are the foundation, the guide for people's actions and the guide that statistical work should follow. The statistical thought here refers to the unique world outlook and methodology that distinguishes statistics from other disciplines, and is also the basis for establishing statistical authority.

The general idea of statistics makes statistics always look at the problem from the overall perspective of the research object, forming a series of cognitive laws such as a large number of observation methods and the law of large numbers. The so-called "standing high and looking far" and "grasping the overall situation" are also the embodiment of this idea. This requires statisticians to be consistent in their work. Because the overall data is collected from the individual as the undertaker, the individual data is very different, and some boundaries are difficult to judge. At this time, it is necessary to stand from the overall perspective and see which ones meet the overall requirements and which ones do not, so as to avoid "bystanders are clear and the authorities are confused" and avoid deviating from the function of statistics itself.

Second, several aspects of statistical thought

1, the idea of average.

The average value is a concise and important representative of the studied object. The concept of mean involves almost all statistical theories and is the basic idea of statistics. It tells us that the problem of statistical understanding is viewed from the general law of its development, and the focus is not on the total scale or individuals, which embodies the concepts of quantity and inference. The idea of mean value also requires looking at the problem as a whole, but it also requires observing its general development trend and avoiding the interference of individual accidental phenomena, so it also embodies the overall view.

2. Change of ideas.

The statistical study of the overall characteristics of similar phenomena is based on the fact that the characteristics of all units are different. If there is no difference between units, there is no need for statistics. If the differences between units can be inferred in advance according to known conditions, statistical methods are not needed. The statistical method is to recognize the differences in the number of things. The basic concept of statistical reflection of variation is variance, which is the concept of "general level" of "variation". It can be said that the concepts of mean and variance have played the roles of "hiding differences and showing similarities" and "knowing the same and observing differences" respectively. Average and variation are abstract and macroscopic measures of the characteristics of similar things.

3. Estimate the idea.

Estimating the population from a sample is a way to understand similar things. There is a premise in using the estimation method: the sample can only represent the population if it has the same properties as the population, but the representativeness of the sample is affected by accidental factors, and the measurement of confidence in the estimation theory is a necessary step to maintain logical rigor.

4. Related ideas.

Marxist philosophy holds that things are universally related. In the process of change, some things often change or appear with each other, and the whole is composed of many individual firms. These individual things are interrelated, and what we study is generally formed on the basis of homogeneity. Individuals in a population and individuals between this population and another population are interrelated. Related concepts represent the relationship between things.

5. the right idea.

Fitting is an abstract representation of the relationship between different types of things. Any single relationship must depend on other relationships, and the relationship of all practical things is very complicated. This method is a fitting of laws or trends. The result of fitting is a model, which reflects the general trend, and the trend expresses "the pattern reflected by the quantitative change process of things and relationships and the possibility predicted based on it".

6. thoughts.

Statistical methods are always inductive and their conclusions are always probabilistic. Judgments based on local characteristics and laws cannot be completely credible. The test process is to use the actual data of the sample to test in advance whether the assumptions about some quantitative characteristics of the population are credible.

Three. statistical work

Statistical work should include D links such as statistical design, statistical investigation, statistical arrangement, statistical analysis, statistical information application and release; As the result of statistical work, statistical data should obviously include the original data of investigation, the systematic data of collation and the deep processing data of analysis; Statistics studies the whole process of statistical work, and also studies the feasibility, credibility and availability of statistical data. There is a close dialectical relationship between these three meanings.

In the five links of statistical work, design is the foundation, and statistics is the science of methodology, which is mainly reflected in statistical design; Whether the statistical work can achieve the goal depends on the design. If statistical work is regarded as a product production process, statistical design is equivalent to product design, statistical investigation is construction, statistical arrangement is assembly, statistical analysis is quality inspection and analysis, and the application and release of statistical information is advertising and sales. Each link is highly technical, but design and analysis are the most technical and theoretical work, and the special role of statistics is mainly reflected in these two links. Statistical design actually tells operators how to investigate and arrange; Analysis and information release is to tell users what statistics can achieve and what other majors can't. The key to why developed countries attach so much importance to statistics and why the United Nations should set up a statistical committee is also reflected in these two aspects.

In today's society, statistics is quite developed. Whether it is the study of data collection methods or the study of statistical laws, its purpose is to understand the objects we are studying, or to understand the statistical population. Statisticians have a clear understanding of the overall appearance of statistical data from the beginning of investigation to the collation of systematic data of foreign affairs services. If we can find out the internal characteristics behind the numbers, we can sum up the regularity of the development of the phenomenon and put forward effective suggestions for managing the social economy in combination with the operation law of the social economy. The statistical index system is a complete scientific system, the number of statistical indicators approved is of scientific significance, and there is a strict division of labor among indicators. So statistical analysis is incomparable with other analysis.

Fourth, how to improve the statistical work.

Although statistics has made unparalleled great achievements in the 20th century, it has not yet matured into a solid and complete knowledge field, because as far as the research object of statistics is concerned, it can cover such a large range and we are faced with so many unknowns that we have to constantly consolidate and expand its disciplinary foundation to ensure the function and role of statistical quantitative cognition. Therefore, starting from the increasing demand of human beings for statistics, we emphasize the intersection and integration of multiple disciplines and constantly absorb the latest development achievements of other related disciplines, such as mathematics, complex system science, chaos, simulation, computer science and so on. , to supplement and expand the basis of statistics, otherwise, the development of statistics will lack vitality and will stagnate.

In the period of market economy, comprehensive and systematic statistical work needs a certain statistical business foundation, professional technology and relatively fixed statisticians to complete. A relatively stable statistical team can accumulate experience and make greater and faster contributions to enterprise management. If the sense of responsibility is not strong, the self-motivation is insufficient and the professional quality is low, it will inevitably delay the normal work. Statisticians should be good at learning and constantly improve their professional quality in order to be competent for their jobs. At the same time, enterprises, industry systems, especially enterprise groups need statistical leaders with a sense of responsibility, a sense of the times, pioneering spirit and high professional quality, who can lead colleagues to study and work together.

In this case, statisticians should be self-respecting, confident and self-reliant in order to stand on their own feet. Statisticians must study hard, innovate hard and produce more results. At the same time, enterprise leaders and relevant departments should also create opportunities for statisticians, organize them to learn statistical knowledge and related business knowledge, legal system and microcomputer knowledge, support them to participate in statistical work conferences, encourage statisticians to participate in professional level and technical title examinations, and guide them to actively provide statistical data and actively participate in enterprise management. If you have made significant contributions or made rapid progress in your work, you should praise it in time.

With the development of society, the status of statistics in China is getting higher and higher, more and more attention is paid to it, and the statistical ideological system is becoming more and more perfect. I believe that the statistical work in China will not enter a higher level in the near future.

References:

[1] Thought Discussion [J]. Cooperative Economy and Technology, 2006, (04)

[2] Pang. Statistical work and statistical thought [J]. Science and Technology Information Development and Economy, 2004, (03)

[3] Tang. Popularization and application of statistics [j]. Management, 20 10, (0 1)

Statistical Paper 1[ Abstract] Based on my many years' working experience and Anshan Tian Li Precision Strip Co., Ltd., this paper analyzes the research status of human resources statistics at home and abroad, and applies the principles of human resources economics to establish a framework system of "human resources statistics" to promote the development of "human resources statistics".

[Keywords:] statistical research on human resources

First, the statistical study of human resources

Statistics, as an activity to provide information support for management and decision-making, must serve the specific socio-economic environment. Statistics in the new economic era has met with a strong challenge, and at the same time, the new economy has also provided a rare opportunity for the development and improvement of human resources statistics, a new field of statistics.

Human resource statistics is a methodological subject about how to describe, measure, track and predict the situation of human resources, and make statistical analysis of human resources. The research of human resource statistics will provide strong support for the quantitative and accurate development of human resource economics and human resource management. At present, the research system of human resources statistics in China has not reached a unified understanding, and a complete index system and statistical research method system for measuring human resources status have not been established, and the research on human resources statistics at home and abroad is rarely involved. At present, foreign research on human resources mainly focuses on human resource management, human resource planning, human resource recruitment, performance management, salary management, personnel recruitment and resignation management, personnel training management, career management, labor relations management, organizational culture construction and leader development.

Through my many years' working experience and research, it is found that domestic scholars' research on human resources statistics mainly focuses on concepts, contents, index system and measurement methods, aiming at enriching and perfecting the human resources statistics system. Conceptually, I make a distinction between human resources and human capital, among which, I think they are not only different in concept, but also different in research perspective and analysis content, and understand human capital as a qualitative aspect of human resources. In content, human resources investment statistics, human resources output statistics, human resources investment benefit statistics and human resources supply and demand statistics all belong to the research scope of human resources statistics. It is considered that human resources statistics should include human resources status statistics, human resources input-output statistics and human resources supply and demand statistics.

In view of the setting of index system, I think the statistical indicators of human resources in this enterprise should be set around the quantity, quality, development and utilization of human resources; The statistical index system of human resources is constructed from five aspects: quantitative index, quality index, structural index, dynamic index and efficiency index.

The above research provides a variety of ideas and foundations for the formation of the basic framework and content of human resources statistics. However, from the statistical point of view, these research results are mainly about descriptive statistics of human resources, but there are still shortcomings in combining statistical inference theory to predict the future trend of human resources and statistical analysis of human resources management decisions. In short, a systematic and standardized discipline system of human resources statistics has not yet been formed.

Second, establish a statistical framework system of human resources.

The key to establishing human resources statistics is how to reflect the quantitative characteristics of human resources, so as to construct the theoretical and methodological framework of human resources statistics. Therefore, it is necessary to clarify the research object and basic category of human resource statistics first; On this basis, the comprehensive index system of human resources such as human resources stock, flow, input, output and benefit is designed and investigated. Then enter the stage of statistical analysis, introduce a series of statistical research methods to study the total amount, structure, future trend and allocation of human resources.

1。 Theoretical basis of human resources statistics

Including the theoretical basis and statistical basis, research object, research method, research content, basic category and the relationship with other related disciplines.

2。 The investigation, arrangement and display of human resources statistical data include comprehensive investigation, sampling investigation, typical investigation and key investigation. Then it introduces the methods of data arrangement, such as statistical grouping, statistical chart and so on.

3。 Setting of comprehensive indicators of human resources

The establishment of human resources statistical index system is divided into countries, departments, enterprises and individuals from macro and micro, static and dynamic from time, countries, regions, industries and occupations from space, and groups and individuals from scope, including setting human resources stock index, mobility index, relative index, average index and variation index, and determining the calculation method of each index.

4。 Regression and correlation analysis of human resources

Including the analysis of the total amount and structure of human resources, the relationship between human resources and economic growth, the efficiency of human resources allocation, principal component analysis, factor analysis and the prediction of human resources development trend.

5。 System design of human resources statistics system

Including the content of human resources statistics system, its application in human resources statistics index system and its role in human resources statistics analysis, as well as the reflection on the existing human resources statistics scope, methods, investigation methods and data integrity. On this basis, this paper puts forward a tentative idea of establishing a standardized and unified human resources statistical system to meet the needs of all walks of life and economic activity units at all levels in the era of knowledge economy, standardize data sources and ensure the authority, unity and accuracy of human resources statistical data.

Third, the conclusion

Through many years' work experience and research, I found that the statistical index system of human resources is an organic whole composed of a series of interrelated, interdependent and mutually restrictive multi-level and multi-angle indicators that reflect the situation and laws of human resources, and can provide people with richer information resources and more powerful functions than single indicators and comprehensive indicators. It provides a complete set of human resources statistics, which can reflect all aspects of things and the whole process of their development and change. Using these statistical data, we can define and unify the scope, statistical caliber and statistical methods of human resources, improve the scientificity, comparability and operability of human resources statistical information collection and analysis, understand the current situation and supply and demand of human resources, and objectively reflect the quantity, structure, investment and allocation of human resources and their development trends and laws. Because of the particularity, complexity, uncertainty and difficulty in quantification of human resources, it is far more difficult to measure the value of human resources than material resources. After decades of research at home and abroad, this problem has not been solved so far.

Human resources are national wealth, and human resources statistics are the fundamental means to understand, master and monitor the scale, level and change of human resources. However, through my research, it is found that there is no systematic and standardized research result in China's human resources statistics, both in theory and practice. Improve the statistical indicators of human resources stock, establish statistical indicators of human resources flow as soon as possible, accelerate the establishment of a long-term mechanism for tracking and monitoring the quantity, quality, input, output and benefits of human resources, improve the statistical investigation system of human resources, realize the sharing of statistical information of human resources, and provide human resources protection and support for the long-term sustainable development of the country.

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