Small Area Model-Based Estimators Using Big Data Sources

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Big Models for Big Data using Multi objective averaged one dependence estimators

Even though, many researchers tried to explore the various possibilities on multi objective feature selection, still it is yet to be explored with best of its capabilities in data mining applications rather than going for developing new ones. In this paper, multi-objective evolutionary algorithm ENORA is used to select the features in a multi-class classification problem. The fusion of AnDE (av...

متن کامل

Small area estimation using a nonparametric model-based direct estimator

Nonparametric regression is widely used as a method of characterising a non-linear relationship between a variable of interest and a set of covariates. Practical application of nonparametric regression methods in the field of small area estimation is fairly recent, and has so far focussed on the use of empirical best linear unbiased prediction under a model that combines a penalized spline (p-s...

متن کامل

Big Data, Small World

Big data usually includes data sets with sizes beyond the ability of commonly used software tools to capture, curate, manage, and process data within a tolerable elapsed time. In this paper, we have discussed about the various characterstic’s of big data and how data is increasing day by day. There are various aspects of knowledge discovery that are discussed. Moreover, the small world phenomen...

متن کامل

Tupleware: "Big" Data, Big Analytics, Small Clusters

There is a fundamental discrepancy between the targeted and actual users of current analytics frameworks. Most systems are designed for the challenges of the Googles and Facebooks of the world— processing petabytes of data distributed across large cloud deployments consisting of thousands of cheap commodity machines. Yet, the vast majority of users analyze relatively small datasets of up to sev...

متن کامل

Constrained Maximum Likelihood Estimation for Model Calibration Using Summary-level Information from External Big Data Sources.

Information from various public and private data sources of extremely large sample sizes are now increasingly available for research purposes. Statistical methods are needed for utilizing information from such big data sources while analyzing data from individual studies that may collect more detailed information required for addressing specific hypotheses of interest. In this article, we consi...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of Official Statistics

سال: 2015

ISSN: 2001-7367

DOI: 10.1515/jos-2015-0017