Fachinformationsdienst BAUdigital

A platform for research: civil engineering, architecture and urbanism

    Erratum: Using covariates to model dependence in nonstationary, high frequency meteorological processes

    New search for: Poppick, Andrew
    New search for: Stein, Michael L.

    Access

    Check access
    Check availability in my library
    Order at Subito €

    Access

    Check access
    Check availability in my library
    Order at Subito €

    Page navigation

    Document information
    Similar titles

    Export, share and cite

    Erratum: Using covariates to model dependence in nonstationary, high frequency meteorological processes

    New search for: Poppick, Andrew
    New search for: Stein, Michael L.

    Access

    Check access
    Check availability in my library
    Order at Subito €

    Erratum: Using covariates to model dependence in nonstationary, high frequency meteorological processes

    New search for: Poppick, Andrew
    New search for: Stein, Michael L.

    Access

    Check access
    Check availability in my library
    Order at Subito €

    Access

    Check access
    Check availability in my library
    Order at Subito €

    Page navigation

    Document information
    Similar titles

    Export, share and cite

    Document information
    Title:

    Erratum: Using covariates to model dependence in nonstationary, high frequency meteorological processes

    Contributors:

    Poppick, Andrew (author) / Stein, Michael L. (author)

    Published in:

    Environmetrics ; 25 ; 557

    Publication date:

    2014-11-01

    Size:

    1 pages

    ISSN:

    1099-095X , 1180-4009

    DOI:

    https://doi.org/10.1002/env.2300

    Type of media:

    Article (Journal)

    Type of material:

    Electronic Resource

    Language:

    English

    Similar titles

    Using covariates to model dependence in nonstationary, high‐frequency meteorological processes

    Poppick, Andrew / Stein, Michael L. | Wiley | 2014

    Nonstationary Hydrological Distribution Estimation Using Hierarchical Model with Stochastic Covariates

    Jiang, Cong / Xiong, Lihua / Xu, Wentao | ASCE | 2023

    Bayesian prediction of monthly precipitation on a fine grid using covariates based on a regional meteorological model

    Sigurdarson, A. N. / Hrafnkelsson, B. | Wiley | 2016

    Modeling Nonstationary Extreme Water Levels Considering Local Covariates in Ho Chi Minh City, Vietnam

    Binh, Le Thi Hoa / Umamahesh, N. V. / Rathnam, E. V. et al. | ASCE | 2018

    Nonstationary Modeling of Meteorological Droughts: Application to a Region in India

    Das, Subhadarsini / Das, Jew / Umamahesh, N. V. | ASCE | 2020

    Back to top