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231.
Edward?SandoyanEmail author Arzik?Suvaryan Davit?Sahakyan 《Transition Studies Review》2005,12(2):222-230
Taking into consideration the importance of having a strong banking system, the issue of bank performance evaluation and analysis
becomes essential for the bank regulation process in the countries with an emerging economy. For banking performance evaluation
and analysis various methods are used in international practice. These methods have many disadvantages and are unusable for
the banking systems in the countries with transition economy. In this article a new and complex system of analysis and evaluation
of bank performance is described. This is a multidimensional system of bank performance indicators. This system enables to
analyze bank performance through integrated indicators, viewing them in corresponding surfaces. Implementation of this system
will allow to efficiently analyze bank performance by different directions, to reveal existing problems in the bank, to make
corresponding regulation decisions for each bank, and to and group banks according to different criteria. 相似文献
232.
Being aware that brain drain is perceived as a menace for national economies in the region of Southeast Europe, this paper
will closely address the possible beneficial aspects of highly skilled migration and ways to achieve regional sustainability
utilising this kind of migratory movement. In this sense, the appearence of a scientific diaspora and other knowledge networks
would be stressed not just as a crucial result of their migration but also as a potential method of deriving benefits that
can ensure development and consolidation of a meritocratic society. The process would be elaborated in the context of the
regional integration with the European Union and accepting inherent standards, but also in the context of the wider social
reforms which contain a transition process as whole. The paper will try to argue that civil societies in the region have the
capacity to utilise accumulated human capital in the networks to a more significant extent. 相似文献
233.
G?tz Uebe Norman Fickel Karsten Webel Rainer Schlittgen Joachim Merz 《Allgemeines Statistisches Archiv》2005,89(3):355-363
Literatur / Books
Buchbesprechungen / Book reviews 相似文献234.
Principal components are a well established tool in dimension reduction. The extension to principal curves allows for general
smooth curves which pass through the middle of a multidimensional data cloud. In this paper local principal curves are introduced,
which are based on the localization of principal component analysis. The proposed algorithm is able to identify closed curves
as well as multiple curves which may or may not be connected. For the evaluation of the performance of principal curves as
tool for data reduction a measure of coverage is suggested. By use of simulated and real data sets the approach is compared
to various alternative concepts of principal curves. 相似文献
235.
We consider the calculation of power functions in classical multivariate analysis. In this context, power can be expressed
in terms of tail probabilities of certain noncentral distributions. The necessary noncentral distribution theory was developed
between the 1940s and 1970s by a number of authors. However, tractable methods for calculating the relevant probabilities
have been lacking. In this paper we present simple yet extremely accurate saddlepoint approximations to power functions associated
with the following classical test statistics: the likelihood ratio statistic for testing the general linear hypothesis in
MANOVA; the likelihood ratio statistic for testing block independence; and Bartlett's modified likelihood ratio statistic
for testing equality of covariance matrices. 相似文献
236.
In this paper, we introduce non-centered and partially non-centered MCMC algorithms for stochastic epidemic models. Centered
algorithms previously considered in the literature perform adequately well for small data sets. However, due to the high dependence
inherent in the models between the missing data and the parameters, the performance of the centered algorithms gets appreciably
worse when larger data sets are considered. Therefore non-centered and partially non-centered algorithms are introduced and
are shown to out perform the existing centered algorithms. 相似文献
237.
Abdissa?NegassaEmail author Antonio?Ciampi Michal?Abrahamowicz Stanley?Shapiro Jean-Fran?ois?Boivin 《Statistics and Computing》2005,15(3):231-239
The performance of computationally inexpensive model selection criteria in the context of tree-structured subgroup analysis is investigated. It is shown through simulation that no single model selection criterion exhibits a uniformly superior performance over a wide range of scenarios. Therefore, a two-stage approach for model selection is proposed and shown to perform satisfactorily. Applied example of subgroup analysis is presented. Problems associated with tree-structured subgroup analysis are discussed and practical solutions are suggested. 相似文献
238.
The banks have been accumulating huge data bases for many years and are increasingly turning to statistics to provide insight
into customer behaviour, among other things. Credit risk is an important issue and certain stochastic models have been developed
in recent years to describe and predict loan default. Two of the major models currently used in the industry are considered
here, and various ways of extending their application to the case where a loan is repaid in installments are explored. The
aspect of interest is the probability distribution of the total loss due to repayment default at some time. Thus, the loss
distribution is determined by the distribution of times to default, here regarded as a discrete-time survival distribution.
In particular, the probabilities of large losses are to be assessed for insurance purposes. 相似文献
239.
In the presence of covariate information, the proportional hazards model is one of the most popular models. In this paper,
in a Bayesian nonparametric framework, we use a Markov (Lévy-driven) process to model the baseline hazard rate. Previous Bayesian
nonparametric models have been based on neutral to the right processes, which have a number of drawbacks, such as discreteness
of the cumulative hazard function. We allow the covariates to be time dependent functions and develop a full posterior analysis
via substitution sampling. A detailed illustration is presented. 相似文献
240.
An auxiliary variable method based on a slice sampler is shown to provide an attractive simulation-based model fitting strategy for fitting Bayesian models under proper priors. Though broadly applicable, we illustrate in the context of fitting spatial models for geo-referenced or point source data. Spatial modeling within a Bayesian framework offers inferential advantages and the slice sampler provides an algorithm which is essentially off the shelf. Further potential advantages over importance sampling approaches and Metropolis approaches are noted and illustrative examples are supplied. 相似文献