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91.
In this article, we introduce new asymptotic expansions for probability functions of sums of independent and identically distributed random variables. Results are obtained by efficiently employing information provided by lower-order convolutions. In comparison with Edgeworth-type theorems, advantages include improved asymptotic results in the case of symmetric random variables and ease of computation of main error terms and asymptotic crossing points. The first-order estimate can perform quite well against the corresponding renormalized saddlepoint approximation and, pointwise, requires evaluation of only a single convolution integral. While the new expansions are fairly straightforward, the implications are fortuitous and may spur further related work. 相似文献
92.
In this paper, a novel Bayesian framework is used to derive the posterior density function, predictive density for a single future response, a bivariate future response, and several future responses from the exponentiated Weibull model (EWM). We study three related types of models, the exponentiated exponential, exponentiated Weibull, and beta generalized exponential, which are all utilized to determine the goodness of fit of two real data sets. The statistical analysis indicates that the EWM best fits both data sets. We determine the predictive means, standard deviations, highest predictive density intervals, and the shape characteristics for a single future response. We also consider a new parameterization method to determine the posterior kernel densities for the parameters. The summary results of the parameters are calculated by using the Markov chain Monte Carlo method. 相似文献
93.
94.
Spatio-temporal surveillance methods for detecting outbreaks of disease are fairly common in the literature with the scan statistic setting the benchmark. If the shape and size of the outbreaks are known in advance, then the scan approach can be designed to efficiently detect these, however, this is seldom true. Therefore we want to devise plans that are efficient at detecting a number of outbreaks that vary in size and shape. This paper examines plans which use the exponential weighted moving average statistic to build temporal memory into plans and tries to develop robust plans for detecting outbreaks of unknown shapes and sizes. 相似文献
95.
We describe novel, analytical, data-analysis, and Monte-Carlo-simulation studies of strongly heteroscedastic data of both small and wide range.Many different types of heteroscedasticity and fixed or variable weighting are incorporated through error-variance models.Attention is given to parameter bias determinations, evaluations of their significances, and to new ways to correct for bias.The error-variance models allow for both additive and independent power-law errors, and the power exponent is shown to be able to be well determined for typical physicalsciences data by the rapidly-converging, general-purpose, extended-least-squares program we use.The fitting and error-variance models are applied to both low-and high-heteroscedasticity situations, including single-response data from radioactive decay.Monte-Carlo simulations of data with similar parameters are used to evaluate the analytical models developed and the various minimization methods em-ployed, such as extended and generalized least squares.Logarithmic and inversion transformations are investigated in detail, and it is shown analytically and by simulations that exponential data with constant percentage errors can be logarithmically transformed to allow a simple parameter-bias-removal procedure.A more-general bias-reduction approach combining direct and inversion fitting is also developed.Distributions of fitting-model and error-variance-model parameters are shown to be typically non-normal, thus invalidating the usual estimates of parameter bias and precision.Errors in conventional confidence-interval estimates are quantified by comparison with accurate simulation results. 相似文献
96.
97.
Helen McLachlan Della Forster Michelle Newton Pamela McCalman Sue Kildea Fiona McLardie-Hore Gina Bundle Jennifer Browne Marika Jackomos Jacqueline Watkins Simone Andy Jeremy Oats Catherine Chamberlain Jane Freemantle Sue Jacobs Ngaree Blow Karyn Ferguson Susan Donath Helena Maher 《Women and birth : journal of the Australian College of Midwives》2018
98.
Over the past 5 years, the UK Coalition and subsequent Conservative governments have sought to develop an agenda of localism. Recent research has evaluated how this has played out in practice. This article takes a different approach, interpreting how the language of community and place in English politics has been mobilized in reforms of the country’s planning system. We do this by tracing how conservative traditions of political thought and imagery of place were used to advance localism. This reveals a range of contradictions within the English localism agenda and highlights the wider political challenges raised by attempts to mobilize the affective and morally charged language of the local. 相似文献
99.
This article investigates the characteristics of the workhouse populations in Lancashire in 1881. The analysis is based on the snapshot view provided by the 1881 census and, despite the limitations of such an approach, this large-scale survey reveals significant variations in the experience of poverty and local relief policies in a largely industrial region that had been at the forefront of the anti-poor law movement. The workhouse populations are shown to be diverse, and contrast markedly with pauper populations previously studied. Lancashire's Poor Law Unions are divided into three types: conurbation, urban industrial and rural. These three groups appear to represent three different patterns of workhouse residency. The workhouse populations in rural Lancashire are broadly similar to those discussed elsewhere, being dominated by elderly males. However, urban industrial workhouse populations contained large numbers of adults of working age and the absence of children from workhouses in the conurbation is particularly striking. 相似文献
100.
Reconfiguration of the supply chain network from time to time is essential for businesses to retain their competitive edge. This paper presents a methodology for reconfiguration of an existing supply chain network. The methodology is characterized by two decision levels. In the first level, the current network performance is evaluated and efficient practices are identified. In the next level, a model that incorporates efficient practices is developed to reconfigure the network. This integrated methodology allows for decision maker (DM) input throughout the process. The methodology has been implemented and tested in the reconfiguration of an outbound petroleum supply chain network for CountryMark Cooperative, Inc. In this case study, Data Envelopment Analysis (DEA) is used to analyze current operations and an integer programming (IP) model that incorporates efficiency metrics is developed for selection of distribution facilities and allocation of resources to the facilities. Use of this methodology can lead to improved operations and reduced operating expenses. 相似文献