Multivariate Receptor Models for Spatially Correlated Multipollutant Data

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

Multivariate Receptor Models for Spatially Correlated Multipollutant Data

Taylor & Francis makes every effort to ensure the accuracy of all the information (the “Content”) contained in the publications on our platform. However, Taylor & Francis, our agents, and our licensors make no representations or warranties whatsoever as to the accuracy, completeness, or suitability for any purpose of the Content. Any opinions and views expressed in this publication are the opin...

متن کامل

STCD: Models and Algorithms for Spatially and Temporally Correlated Data

Correlated data is a hot topic in many research fields. In fact, compression, detection, estimation, and transmission of correlated data arise in many practical applications, e.g., environmental monitoring, communication systems, image processing, etc. Identifying and properly managing such correlations may be important, especially when a very large amount of data, yet compressible, must be tra...

متن کامل

Semiparametric Normal Transformation Models for Spatially Correlated Survival Data

There is an emerging interest in modeling spatially correlated survival data in biomedical and epidemiologic studies. In this article we propose a new class of semiparametric normal transformation models for right-censored spatially correlated survival data. This class of models assumes that survival outcomes marginally follow a Cox proportional hazard model with unspecified baseline hazard, an...

متن کامل

Hierarchical Multivariate CAR Models for Spatio-Temporally Correlated Survival Data

Survival models have a long history in the biomedical and biostatistical literature, and are enormously popular in the analysis of time-to-event data. Very often these data will be grouped into strata, such as clinical sites, geographic regions, and so on. Such data will often be available over multiple time periods, and for multiple diseases. In this paper, we consider hierarchical spatial pro...

متن کامل

Bayesian Melding of Deterministic Models and Kriging for Analysis of Spatially Dependent Data

The link between geographic information systems and decision making approach own the invention and development of spatial data melding method. These methods combine different data sets, to achieve better results. In this paper, the Bayesian melding method for combining the measurements and outputs of deterministic models and kriging are considered. Then the ozone data in Tehran city are analyze...

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: Technometrics

سال: 2013

ISSN: 0040-1706,1537-2723

DOI: 10.1080/00401706.2013.765321