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2.
Estimating the Size of a Criminal Population from Police Records Using the Truncated Poisson Regression Model 总被引:1,自引:0,他引:1
Peter G.M. van der Heijden Maarten Cruyff Hans C. van Houwelingen 《Statistica Neerlandica》2003,57(3):289-304
The truncated Poisson regression model is used to arrive at point and interval estimates of the size of two offender populations, i.e. drunk drivers and persons who illegally possess firearms. The dependent capture–recapture variables are constructed from Dutch police records and are counts of individual arrests for both violations. The population size estimates are derived assuming that each count is a realization of a Poisson distribution, and that the Poisson parameters are related to covariates through the truncated Poisson regression model. These assumptions are discussed in detail, and the tenability of the second assumption is assessed by evaluating the marginal residuals and performing tests on overdispersion. For the firearms example, the second assumption seems to hold well, but for the drunk drivers example there is some overdispersion. It is concluded that the method is useful, provided it is used with care. 相似文献
3.
Chi-Yo Huang Author Vitae Author Vitae 《Technological Forecasting and Social Change》2008,75(1):12-31
Product life cycle (PLC) prediction plays a crucial role in strategic planning and policy definition for high-technology products. Forecast methodologies which can predict PLCs accurately can help to achieve successful strategic decision-making, forecasting, and foresight activities in high-technology firms, research institutes, governments, and universities. Over the past few decades, even though analytic framework strategies have been proposed for production, marketing, R&D (research and development), and finance, aiming at each stage of PLCs, forecast methodologies with which to predict PLCs are few. The purpose of this research is to develop a novel forecast methodology to allow for predictions of product life time (PLT) and the annual shipment of products during the entire PLC of multiple generation products. A novel two-stage fuzzy piecewise regression analysis method is proposed in this paper. In the first stage, the product life-time of the specific generation to be analyzed will be predicted by the fuzzy piecewise regression line that is derived based upon the product life-time of earlier generations. In the second stage of the forecast methodology, the annual shipment of products of the specified generation will be predicted by deriving annual fuzzy regression lines for each generation, based upon the historical data on the earlier generations' products. An empirical study predicting the life-time and the annual shipment of the 16 Mb (Mega bit) DRAM (Dynamic Random Access Memory) PLC is illustrated to validate the analytical process. The results demonstrate that two-stage fuzzy piecewise regression analysis can predict multiple generation PLT and PLC precisely, thereby serving as a foundation for future strategic planning, policy definitions and foresights. 相似文献
4.
Silva Portela Maria Conceição A. Borges Pedro Castro Thanassoulis Emmanuel 《Journal of Productivity Analysis》2003,19(2-3):251-269
This paper draws attention for the fact that traditional Data Envelopment Analysis (DEA) models do not provide the closest possible targets (or peers) to inefficient units, and presents a procedure to obtain such targets.It focuses on non-oriented efficiency measures (which assume that production units are able to control, and thus change, inputs and outputs simultaneously) both measured in relation to a Free Disposal Hull (FDH) technology and in relation to a convex technology. The approaches developed for finding close targets are applied to a sample of Portuguese bank branches. 相似文献
5.
6.
回归分析在土地估价中的应用 总被引:3,自引:0,他引:3
回归分析是一种统计学方法,在地价分析与测算中得到广泛应用。本文从统计学的角度阐明了回归分析的原理,并介绍了如何建立回归方程解决土地估价中出现的有关问题。 相似文献
7.
在新零销售模式的推动下,客户越来越倾向于消费个性化的商品。为了精准预测客户的消费需求,论文以单款单色产品为研究对象,通过建立多元回归分析的数学模型,来探究影响商品销售量的相关因素。经过分析发现,除了一些定性因素外,定量因素对销售量也产生了一定的影响,其中实际花费总金额、实际销售单价、库存数等定量因素对销售量的影响较大,且各个变量之间具有相关性,所以电商平台应特别关注这三个变量的影响。 相似文献
8.
Moumita Saha Anirban Santara Pabitra Mitra Arun Chakraborty Ravi S. Nanjundiah 《International Journal of Forecasting》2021,37(1):58-71
The study of climatic variables that govern the Indian summer monsoon has been widely explored. In this work, we use a non-linear deep learning-based feature reduction scheme for the discovery of skilful predictors for monsoon rainfall with climatic variables from various regions of the globe. We use a stacked autoencoder network along with two advanced machine learning techniques to forecast the Indian summer monsoon. We show that the predictors such as the sea surface temperature and zonal wind can predict the Indian summer monsoon one month ahead, whereas the sea level pressure can predict ten months before the season. Further, we also show that the predictors derived from a combination of climatic variables can outperform the predictors derived from an individual variable. The stacked autoencoder model with combined predictors of sea surface temperature and sea level pressure can predict the monsoon (June-September) two months ahead with a 2.8% error. The accuracy of the identified predictors is found to be superior to the state-of-the-art predictions of the Indian monsoon. 相似文献
9.
John Baffoe-Bonnie 《Empirical Economics》2003,28(3):461-478
Recent application of the switching regression model to allocate workers into the primary and secondary labor markets is
considered to be the best solution to the classification problem of the empirical testing of the dual labor market theory.
In such models, normality of the error terms is assumed. This paper adopts the switching regression model to test the dual
labor market theory by assuming different distributions of the error terms. The test results strongly support the dual labor
market theory regardless of the assumption one makes about the error terms. However, the results indicate that different distribution
can lead to different percentage distributions of workers in the two segments. In particular, the normal distribution generates
more workers in the primary segment than the non-normal distributions. Therefore, care must be taken not to generalize the
type of industries or occupations that fall under the primary and secondary segments.
First version received: October 2000/Final version received: March 2002
RID="*"
ID="*" I would like to thank Kevin Lang, Robert Marshall, and two anonymous referees for their helpful comments. I am grateful
for comments received from the session participants of the Western Economic Association International Conference, San Francisco,
CA, June 28–July 2, 1996, and the Midwest Economic Association Conference, Kansas City, 1997. I thank George Bonney, the Chief
Statistician of Fox Chase Cancer Center, Philadelphia for his comments. Any remaining errors are my responsibility. I gratefully
acknowledge financial support from Penn State Research and Development Grant, 1995. 相似文献
10.
Jií Reif 《Journal of econometrics》2007,140(2):413-424
Pre-test estimators (PTE) are considered which are optimal under a Bayes risk among PTE with general measurable sets as “regions of significance” for the test statistic t associated with the estimate of a given regression coefficient. Asymptotic and some finite sample results are stated and numerical experiments are commented on. 相似文献