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291.
Mohammad Jafari Jozani 《统计学通讯:理论与方法》2013,42(14):2202-2212
Robust Bayesian analysis is connected with the effect of changing a prior within a class Γ instead of being specified exactly. The multiplicity of prior leads to a collection or a range of Bayes actions. It is interesting not only to investigate the range of estimators but also to recommend the optimal procedures. In this article, we deal with posterior regret Γ-minimax (PRGM) estimation and prediction of an unknown parameter θ and a value of a random variable Y under entropy loss function. Applications for k-records such as estimation and prediction problems are discussed. 相似文献
292.
Mohammad Saber Fallah Nezhad 《统计学通讯:理论与方法》2013,42(14):2379-2397
In this research, we employ Bayesian inference and stochastic dynamic programming approaches to select the binomial population with the largest probability of success from n independent Bernoulli populations based upon the sample information. To do this, we first define a probability measure called belief for the event of selecting the best population. Second, we explain the way to model the selection problem using Bayesian inference. Third, we clarify the model by which we improve the beliefs and prove that it converges to select the best population. In this iterative approach, we update the beliefs by taking new observations on the populations under study. This is performed using Bayesian rule and prior beliefs. Fourth, we model the problem of making the decision in a predetermined number of decision stages using the stochastic dynamic programming approach. Finally, in order to understand and to evaluate the proposed methodology, we provide two numerical examples and a comparison study by simulation. The results of the comparison study show that the proposed method performs better than that of Levin and Robbins (1981) for some values of estimated probability of making a correct selection. 相似文献
293.
AbstractIn this article, we are interested in conducting a comparison study between different non parametric prediction intervals of order statistics from a future sample based on an observed order statistics. Typically, coverage probabilities of well-known non parametric prediction intervals may not reach the preassigned probability levels. Moreover, prediction intervals for predicting future order statistics are no longer available in some cases. For this, we propose different methods involving random indices and fractional order statistics. In each case, we find the optimal prediction intervals. Numerical computations are presented to assess the performances of the so-obtained intervals. Finally, a real-life data set is presented and analyzed for illustrative purposes. 相似文献
294.
We prove first that a renewal process is stationary if and only if the distributions of the age and the residual waiting time coincide for every t>0, and for 0≦x相似文献
295.
Rafi Mohammad Mallick Debdulal 《Voluntas: International Journal of Voluntary and Nonprofit Organizations》2002,13(2):165-178
The groups deliberately formed by nongovernmental organizations to organize the poor for their development are often subgrouped for better performance. In this connection, the study investigates the extent subgroups contribute to group performance, the mechanisms that lead to the contribution of subgroups to group performance, and changes in the contribution of subgroups to the performance of a group. Altogether 239 Bangladesh Rural Advancement Committee groups, i.e., village organizations (VOs), with and without subgroups were investigated. The VOs with subgroups performed better than those without subgroups. The performance of the VOs with subgroups, however, declined over time. One of the reasons why effectiveness of VOs with subgroups declined was the belief that pursuing subgroup responsibilities would not bring any personal gain for members. 相似文献
296.
In this note we compare the Shannon entropy of record statistics with the Shannon entropy of the original data and give an application to characterization of the generalized Pareto distribution, 相似文献
297.
In this note, we explore the rich information about inference that the Poisson distribution has. The source of this information is mainly the fact that the mean and variance of this distribution are equal. 相似文献
298.
Count data with excess zeros often occurs in areas such as public health, epidemiology, psychology, sociology, engineering, and agriculture. Zero-inflated Poisson (ZIP) regression and zero-inflated negative binomial (ZINB) regression are useful for modeling such data, but because of hierarchical study design or the data collection procedure, zero-inflation and correlation may occur simultaneously. To overcome these challenges ZIP or ZINB may still be used. In this paper, multilevel ZINB regression is used to overcome these problems. The method of parameter estimation is an expectation-maximization algorithm in conjunction with the penalized likelihood and restricted maximum likelihood estimates for variance components. Alternative modeling strategies, namely the ZIP distribution are also considered. An application of the proposed model is shown on decayed, missing, and filled teeth of children aged 12 years old. 相似文献
299.
300.
Hyunwoo Jung Mohammad Khairul Hasan Kyung-Yong Chwa 《Journal of Combinatorial Optimization》2009,18(3):258-271
In the connected facility location (ConFL) problem, we are given a graph G=(V,E) with nonnegative edge cost c e on the edges, a set of facilities ??V, a set of demands (i.e., clients) $\mathcal{D}\subseteq VIn the connected facility location (ConFL) problem, we are given a graph G=(V,E) with nonnegative edge cost c
e
on the edges, a set of facilities ℱ⊆V, a set of demands (i.e., clients)
D í V\mathcal{D}\subseteq V
, and a parameter M≥1. Each facility i has a nonnegative opening cost f
i
and each client j has d
j
units of demand. Our objective is to open some facilities, say F⊆ℱ, assign each demand j to some open facility i(j)∈F and connect all open facilities using a Steiner tree T such that the total cost, which is
?i ? Ffi+?j ? Ddjci(j)j+M?e ? Tce\sum_{i\in F}f_{i}+\sum_{j\in \mathcal{D}}d_{j}c_{i(j)j}+M\sum_{e\in T}c_{e}
, is minimized.
We present a primal-dual 6.55-approximation algorithm for the ConFL problem which improves the previous primal-dual 8.55-approximation
algorithm given by Swamy and Kumar (Algorithmica 40:245–269, 2004). 相似文献