A study on atmospheric pressure in krg using spatial regression (SAR and SEM)

توێژەران

  • Sham Azad Rahim Statistics and Computer department, College of Commerce, University of Sulaimani, Sulaimani, Kurdistan Region, Iraq
  • Mohammad Mahmood Faqe Hussein Statistics and informatics department, College of Administration & Economic, university of Sulaimani, Sulaimani, Kurdistan Region, Iraq

##semicolon##

https://doi.org/10.25212/lfu.qzj.5.4.33

##semicolon##

Spatial regression, SAR model, SEM model, Lagrange multiplier test, Moran test

پوختە

The development of using location analysis in all aspects of life encouraged us to use it in this paper for analyzing weather in some Kurdistan regions which are (Sulaimaniyah, Erbil and Duhok) based on the data recorded by the devices placed in 27 different areas which had been recording the climate for all months during 2015. Moran test is used to check spatial dependency in a data and Spatial autoregressive model (SAR), spatial error model (SEM) is created also Lagrange test used to select the significant and alternative spatial model between (SAR and SEM). Different criteria or measures like (R2adj, RMSE, MAPE, AICc) are used for finding the best fit model also for all of them used (rook, bishop and queen) matrixes to specify the spatial correlation. The important result in the practical part shows that SAR model for queen and rook matrixes is significant while SEM model is not significant for all three matrixes and SAR model for queen matrix is best appropriate model.

##plugins.generic.usageStats.downloads##

##plugins.generic.usageStats.noStats##

سەرچاوەکان

philip,viton (2010). “Notes on spatial economtric model“ Retrieved from https://www.yumpu.com/en/document/read/3858779/notes-on-spatial-econometric-models-the-ohio-state-universitdownloaded in5/12/2019

Samprit.Bertam (1997). ”Regression analysis by example”. new york: john wily and sons.

Gan, j (2009). “Spatial combenation interpolation model based on panal data and its empirical study”. china: fujian institute.

DANEL H.P A GRIFFITH “ NON-STANDARD SPATIAL STATISTICS AND SPATIAL ECONOMETRICS “ RETRIEVEDFROMHTTPS://BOOKS.GOOGLE.IQ/BOOKS?ID=WK439DKDXDIC&LPG=PR6&OTS=OIN1ZDYBSD&DQ=SOME%20NOTES%20ON%20SPATIAL%20STATISTICS%20AND%20SPATIAL%20ECONOMETRICS%E2%80%99%E2%80%99&LR&PG=PR2#V=ONEPAGE&Q=SOME%20NOTES%20ON%20SPATIAL%20STATISTICS%20AND%20SPATIAL%20ECONOMETRICS DOWNLOADED IN24/4/2016

J. P.LeSage (1998). “Spatial Econometrics Retrieved from”https://www.spatial econometrics.com/html/wbook.pdf downloaded in7/5/2016

J. P.LeSage (2004). “Maximum likelihood estemation of spatial regression model” . lucas U.S.: uneversity of toledo.

J. P.LeSage (1997).”Regression analysis of spatial data “. university of toledo.

zongji , Y (2007).”A spatial econometric analysis on the relation shiop btween power consumptionand regional economic devlopment”. china: chongqing unversity.

G.S ,Maddala (2003).”Introduction to econometric” . new york: john wiley.

L , Nselin (2001). “Spatial econometrics”.London : blackwell.

j.K Ord (1975). “Estimation methods for models of spatial interaction”. china: chongqing.

Timothy J Ross (2016). Retrieved from https://www.wiley.com/en-iq/Fuzzy+Logic+with+Engineering+Applications%2C+4th+Edition-p-9781119235866 downloaded in12/10/2015

KARSTENRUSCHE (2010). “ QUALITY OF LIFE IN THE REGIONS: AN EXPLORATORY SPATIAL DATA ANALYSIS FOR WEST GERMAN LABOR MARKETS” RETRIEVED FROM HTTPS://MPRA.UB.UNI-MUENCHEN.DE/19759/ DOWNLODED IN 1/8/2015

K. P Urham (2002). model selection and multimodel infrence . newyork: springer-verlag.

سوسنقاسم ,”. (2014) تقديرنماذجالأنحدارالحيزيلنسبالفقرفيأقضيةالعراقللعام “ 2012مجلة العلوم الاقتصادية عدد 79

##submission.downloads##

بڵاو کرایەوە

2020-12-30

ژمارە

بەش

Articles

ئەو توێژینەوانەی ئەم نوسەرە کە زۆرترین جار خوێندراونەتەوە.