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121.
Tiago Pascoal Filomena Michel José Anzanello Francisco José Kliemann Neto MichaelRobert Duffey Enrique Campos-Náñez 《生产规划与管理》2013,24(4):414-425
Feature costing is a topic of recent discussion related to cost management systems (CMSs) aimed at understanding how product features influence production process costs. It raises as a key issue in mass customisation environments where a single product model can present hundreds of menu options. In this study, we explore the concept of feature costing beyond the use of activity-based costing (ABC). We propose a CMS based on features and common elements as costing objects instead of products. In our model, we use the unit of production effort method to organise the direct manufacturing costs, ABC method to address the indirect cost and the standard methods to compute raw materials costs. We illustrate the method in the production of bus seats in a Brazilian manufacturing company. This study gives different perspectives to the international academic community on the use of a different CMS used by many Brazilian companies. 相似文献
122.
Francisco Louzada Paulo H. Ferreira Carlos A.R. Diniz 《Journal of applied statistics》2014,41(8):1785-1798
In general, growth models are adjusted under the assumptions that the error terms are homoscedastic and normally distributed. However, these assumptions are often not verified in practice. In this work we propose four growth models (Morgan–Mercer–Flodin, von Bertalanffy, Gompertz, and Richards) considering different distributions (normal, skew-normal) for the error terms and three different covariance structures. Maximum likelihood estimation procedure is addressed. A simulation study is performed in order to verify the appropriateness of the proposed growth curve models. The methodology is also illustrated on a real dataset. 相似文献
123.
124.
In this article we propose a new cure rate survival model. In our approach the number of competing causes of the event of interest is assumed to follow an exponential discrete power series distribution. An advantage of our model is that it is very flexible, including several particular cases, such as, Bernoulli, geometric, Poisson, etc. Moreover, we derive the appropriate matrices for assessing local influence on the parameter estimates under different perturbation schemes and present some ways to perform global influence analysis. Distribution fitting can be tested for the best fitting in a straightforward way. Maximum likelihood estimation is discussed. Our proposed model is illustrated through cutaneous melanoma data. 相似文献
125.
Francisco J. Buera Alexander Monge‐Naranjo Giorgio E. Primiceri 《Econometrica : journal of the Econometric Society》2011,79(1):1-45
We study the evolution of market‐oriented policies over time and across countries. We consider a model in which own and neighbors' past experiences influence policy choices through their effect on policymakers' beliefs. We estimate the model using a large panel of countries and find that it fits a large fraction of the policy choices observed in the postwar data, including the slow adoption of liberal policies. Our model also predicts that there would be reversals to state intervention if nowadays the world was hit by a shock of the size of the Great Depression. 相似文献
126.
The selection of suitable terms in random coefficient regression models is a challenging problem to practitioners. Although many techniques, ranging from those with a theoretical flavour to those with an exploratory spirit, have been proposed for such purposes, no particular one may be considered as a paradigm. In fact, many authors advocate that they should be used in a complementary way. We consider exploratory methods based on fitting standard regression models to the individual response profiles or to the rows of the sample within-units covariance matrix (for balanced data) that may serve as additional tools in the process of selecting an appropriate model. We evaluate the performance of the proposal via a simulation study and consider applications to two examples in the field of Biostatistics. 相似文献
127.
The aim of this paper is to propose a survival credit risk model that jointly accommodates three types of time-to-default found in bank loan portfolios. It leads to a new framework that extends the standard cure rate model introduced by Berkson and Gage (1952) regarding the accommodation of zero-inflations. In other words, we propose a new survival model that takes into account three different types of individuals which have so far not been jointly accounted for: (i) an individual with an event at the starting time (zero time); (ii) non susceptible for the event, or (iii) susceptible for the event. Considering this, the zero-inflated Weibull non default rate regression models, which include a multinomial logistic link for the three classes, are presented using an application for credit scoring data. The parameter estimation is reached by the maximum-likelihood estimation procedure and Monte Carlo simulations are carried out to assess its finite sample performance. 相似文献
128.
129.
A bivariate regression model for matched paired survival data: local influence and residual analysis
Gladys D. C. Barriga Francisco Louzada-Neto Edwin M. M. Ortega Vicente G. Cancho 《Statistical Methods and Applications》2010,19(4):477-495
The use of bivariate distributions plays a fundamental role in survival and reliability studies. In this paper, we consider
a location scale model for bivariate survival times based on the proposal of a copula to model the dependence of bivariate
survival data. For the proposed model, we consider inferential procedures based on maximum likelihood. Gains in efficiency
from bivariate models are also examined in the censored data setting. For different parameter settings, sample sizes and censoring
percentages, various simulation studies are performed and compared to the performance of the bivariate regression model for
matched paired survival data. Sensitivity analysis methods such as local and total influence are presented and derived under
three perturbation schemes. The martingale marginal and the deviance marginal residual measures are used to check the adequacy
of the model. Furthermore, we propose a new measure which we call modified deviance component residual. The methodology in
the paper is illustrated on a lifetime data set for kidney patients. 相似文献
130.
Cibele M. Russo Gilberto A. Paula Francisco José A. Cysneiros Reiko Aoki 《Journal of applied statistics》2012,39(5):1049-1067
In this paper, we propose nonlinear elliptical models for correlated data with heteroscedastic and/or autoregressive structures. Our aim is to extend the models proposed by Russo et al. 22 by considering a more sophisticated scale structure to deal with variations in data dispersion and/or a possible autocorrelation among measurements taken throughout the same experimental unit. Moreover, to avoid the possible influence of outlying observations or to take into account the non-normal symmetric tails of the data, we assume elliptical contours for the joint distribution of random effects and errors, which allows us to attribute different weights to the observations. We propose an iterative algorithm to obtain the maximum-likelihood estimates for the parameters and derive the local influence curvatures for some specific perturbation schemes. The motivation for this work comes from a pharmacokinetic indomethacin data set, which was analysed previously by Bocheng and Xuping 1 under normality. 相似文献