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1.
区块链技术的快速发展以及其技术自身的去中心化、高稳定性、高可信性等技术特征为科技统计带来了新的应用机遇。本文创造性的针对区块链技术在科技统计中的发展应用进行研究,分析了区块链技术在统计系统场景中实现数据安全、数据真实、数据可追溯有效契合的技术优势。应合理布局并支持区块链技术发展,制定完善区块链技术和应用相关政策,大力培养区块链技术应用人才,推进区块链技术与科技统计深度融合,提高科技统计工作效率。  相似文献   
2.
A separation between the academic subjects statistics and mathematical statistics has existed in Sweden almost as long as there have been statistics professors. The same distinction has not been maintained in other countries. Why has it been kept for so long in Sweden, and what consequences may it have had? In May 2015, it was 100 years since Mathematical Statistics was formally established as an academic discipline at a Swedish university where Statistics had existed since the turn of the century. We give an account of the debate in Lund and elsewhere about this division during the first decades after 1900 and present two of its leading personalities. The Lund University astronomer (and mathematical statistician) C. V. L. Charlier was a leading proponent for a position in mathematical statistics at the university. Charlier's adversary in the debate was Pontus Fahlbeck, professor in political science and statistics, who reserved the word statistics for ‘statistics as a social science’. Charlier not only secured the first academic position in Sweden in mathematical statistics for his former PhD student Sven Wicksell but also demonstrated that a mathematical statistician can be influential in matters of state, finance as well as in different natural sciences. Fahlbeck saw mathematical statistics as a set of tools that sometimes could be useful in his brand of statistics. After a summary of the organisational, educational and scientific growth of the statistical sciences in Sweden that has taken place during the last 50 years, we discuss what effects the Charlier–Fahlbeck divergence might have had on this development.  相似文献   
3.
Misreporting tricks of different sorts applied to the transfer of goods between different countries are typically exploited by criminals worldwide for money laundering ends. The main international anti‐money laundering organisations started paying attention to this phenomenon, dubbed “trade‐based money laundering” (TBML), a long time ago, but the failure to develop appropriate analytical tools has reportedly dogged preventive actions. Nonetheless, literature has widely advocated the possibility that the analysis of inconsistencies in mirrored bilateral trade data could provide some help. By building on previous contributions in the field, this work sets up a model factoring in the main structural determinants of discrepancies between mirrored data concerning Italy's 2010 to 2013 external trade at a highly detailed (6‐digit) level of goods classification for each partner country. Point estimates of freight costs are used to net each observation of the corresponding cif/fob discrepancy. The regression estimates are then deployed in order to compute TBML risk indicators at a country/4‐digit product level. Based on the indicators, rankings of countries and product lines can be compiled, which may be used for a risk‐driven search of potential illegal commercial transactions.  相似文献   
4.
最高人民法院于2016年应用人民法院大数据管理和服务平台以后,全国法院司法统计完全实现计算机自动采集。从发展脉络来看法院司法统计正处于智能化转型阶段,仍然存在一些问题。随着大数据及新技术的引入,司法统计“大数据”得以成为现实,包括了数据采集的全面化、统计分析的综合化、统计平台的社会化,进而提出了大数据助力司法统计精准化的具体路径,包括了提高基础数据的量与质、加强对司法统计数据的深度分析和可视化分析、推进基础设施建设。然而,二者并不具有正相关性。因此,推进司法统计大数据化需要注意有两个限度。  相似文献   
5.
We develop a method for forecasting the distribution of the daily surface wind speed at timescales from 15-days to 3-months in France. On such long-term timescales, ensemble predictions of the surface wind speed have poor performance, however, the wind speed distribution may be related to the large-scale circulation of the atmosphere, for which the ensemble forecasts have better skill. The information from the large-scale circulation, represented by the 500 hPa geopotential height, is summarized into a single index by first running a PCA and then a polynomial regression. We estimate, over 20 years of daily data, the conditional probability density of the wind speed at a specific location given the index. We then use the ECMWF seasonal forecast ensemble to predict the index for horizons from 15-days to 3-months. These predictions are plugged into the conditional density to obtain a distributional forecast of surface wind. These probabilistic forecasts remain sharper than the climatology up to 1-month forecast horizon. Using a statistical postprocessing method to recalibrate the ensemble leads to further improvement of our probabilistic forecast, which then remains calibrated and sharper than the climatology up to 3-months horizon, particularly in the north of France in winter and fall.  相似文献   
6.
林青 《价值工程》2014,(26):232-233
随着大数据资源的急剧增加和数据挖掘技术的日益成熟,为用户提供的服务正在从商务领域向公共领域渗透,面对"大数据"的汹涌来袭,信息化统计工作只有适应大数据时代的变化和要求,通过有效利用客观存在的海量数据,尤其需要率先在公共管理领域建立信息管理共享平台,通过标准化、智能化处理,才能发掘这一数据宝库。本文结合我国中央和福建的福州厦门等地信息化统计工作现状,通过剖析信息化统计面临的主要问题,探索大数据时代完善信息化统计工作的途径。  相似文献   
7.
Business analytics can be described as the statistical analysis of data to make decisions and meaningful conclusions. As the demand to advance the curriculum of undergraduate business education increases, courses in business analytics aim to provide students with fundamental skills in critical thinking. Educators have found that spreadsheet applications that include statistical features are easy to use and facilitate student learning. The authors analyzed student performance in an introductory business analytics course that used Microsoft Excel as a statistical tool by comparing scores from this introductory course with those from an information technology course in which only Excel skills were learned.  相似文献   
8.
应用型本科院校作为中国高等教育发展的时代产物,占全国高等教育人才培养的半壁江山,对中国高等教育人才培养影响极大。随着应用型本科院校将逐步转型以职业技术教育为核心,以培养技术技能型人才为内涵的发展之路,应用型本科院校必须过好转型三关:突破专业教师转型的困惑关;创新应用型人才协调发展的成长关;构建社会服务互动机制的双赢关。  相似文献   
9.
This is an expository paper on applications of statistics in the field of general insurance, also called non‐life insurance. Unlike life insurance where advanced statistical techniques have long been part of financial mathematics and actuarial applications, their use is only relatively recent in non‐life insurance. The business model of insurance companies, especially those active in non‐life insurance, has seen dramatic changes over the last 15 years. The aim of this paper is to convince the readers that especially today non‐life insurance is not only an exciting ground to apply existing modern statistical tools but also a fertile environment for new and challenging statistical developments. The activities of an insurance company can be viewed as an industrial process where data management and data analysis play a key role. That is why a fundamental understanding of data‐related issues (such as data quality, variability, analysis and correct interpretation) is so essential to the insurance business. These are exactly the tasks where professional statisticians excel. Also, a better understanding of the field of general insurance by statisticians will promote fruitful exchanges between actuaries and statisticians, thereby helping to bring actuarial and statistical professional societies closer to each other. Selected examples are used to cover the essential aspects of general insurance, and all of them are based on the author's experience. The paper concludes with some remarks on the role of statisticians working in general insurance.  相似文献   
10.
随着我国宏观经济的快速持续增长,以及财政体制改革的深化,国库收支运行出现了新态势,突出表现为国库库存规模的不断递增,并且波动幅度不断加大,国库库存已经成为影响货币供应量的重要因素,在货币操作中需要密切关注国库资金的运行变化。首先描述了近年来我国国库库存变化的特征,然后基于货币政策中介目标有效性的可测性、可控性和相关性三个标准对现有货币统计口径和加入国库库存后的货币统计口径进行比较。从实证的结果来看,新的货币口径要优于原有的货币口径,因此将国库库存纳入货币中介目标监控体系,才能更好地反映宏观经济金融的实际情况,进一步提高货币政策的有效性。最后提出了将地方国库库存纳入货币统计口径,完善国库集中收付改革,推进地方国库现金管理三个政策建议。  相似文献   
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