کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5119005 1378193 2017 17 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Gaussian spatial linear models with repetitions: An application to soybean productivity
ترجمه فارسی عنوان
مدل خطی فضایی گاوسی با تکرار: کاربردی برای تولید سویا
کلمات کلیدی
تشخیص آمار زمین شناسی حداکثر احتمال،
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات علوم زمین و سیاره ای (عمومی)
چکیده انگلیسی

Soybean yield in the south region of Brazil was analyzed by using Gaussian spatial linear models to account for the spatial dependence between the observations. Some special cases of Gaussian spatio-temporal linear models were also considered. The data set was collected over five years and we regarded four explanatory variables. Each year was considered to be a realization of the process. We checked the goodness of fit and since we noted the presence of an atypical year with lower productivity than in the other years, we conducted influence diagnostics analysis. Moreover, we considered two appropriate perturbation schemes in the response variable and case weight perturbation. The results showed that the methods were effective for detecting influential observations.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Spatial Statistics - Volume 21, Part A, August 2017, Pages 319-335
نویسندگان
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