Prognostic modeling of total global steel production
The objective of this publication was to present the results of prognoses for steel production volume in the world. This work was created on the basis of statistical data. The volume of total steel production in the world from 2000 to 2015 was used in order to create the prognosis. The prognoses wer...
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| Format: | Article |
| Language: | English |
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Croatian Metallurgical Society
2017-01-01
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| Series: | Metalurgija |
| Subjects: | |
| Online Access: | http://hrcak.srce.hr/file/249354 |
| _version_ | 1818362154690019328 |
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| author | B. Gajdzik |
| author_facet | B. Gajdzik |
| author_sort | B. Gajdzik |
| collection | DOAJ |
| description | The objective of this publication was to present the results of prognoses for steel production volume in the world. This work was created on the basis of statistical data. The volume of total steel production in the world from 2000 to 2015 was used in order to create the prognosis. The prognoses were created until 2020 – for a period of 5 years. Econometric methods were used to execute the prognoses. The minimum value of error (square root) was assumed as optimisation criterion of the point value of a prognosis. Individual prognoses were grouped according to change scenarios for the studied phenomenon, taking into account the trend nature. |
| first_indexed | 2024-12-13T21:28:04Z |
| format | Article |
| id | doaj.art-affcda8aadf845fabc6af1ca3c686999 |
| institution | Directory Open Access Journal |
| issn | 0543-5846 1334-2576 |
| language | English |
| last_indexed | 2024-12-13T21:28:04Z |
| publishDate | 2017-01-01 |
| publisher | Croatian Metallurgical Society |
| record_format | Article |
| series | Metalurgija |
| spelling | doaj.art-affcda8aadf845fabc6af1ca3c6869992022-12-21T23:30:54ZengCroatian Metallurgical SocietyMetalurgija0543-58461334-25762017-01-01561-2279282Prognostic modeling of total global steel productionB. GajdzikThe objective of this publication was to present the results of prognoses for steel production volume in the world. This work was created on the basis of statistical data. The volume of total steel production in the world from 2000 to 2015 was used in order to create the prognosis. The prognoses were created until 2020 – for a period of 5 years. Econometric methods were used to execute the prognoses. The minimum value of error (square root) was assumed as optimisation criterion of the point value of a prognosis. Individual prognoses were grouped according to change scenarios for the studied phenomenon, taking into account the trend nature.http://hrcak.srce.hr/file/249354steel productioneconometric methodsprognoseschange scenarios |
| spellingShingle | B. Gajdzik Prognostic modeling of total global steel production Metalurgija steel production econometric methods prognoses change scenarios |
| title | Prognostic modeling of total global steel production |
| title_full | Prognostic modeling of total global steel production |
| title_fullStr | Prognostic modeling of total global steel production |
| title_full_unstemmed | Prognostic modeling of total global steel production |
| title_short | Prognostic modeling of total global steel production |
| title_sort | prognostic modeling of total global steel production |
| topic | steel production econometric methods prognoses change scenarios |
| url | http://hrcak.srce.hr/file/249354 |
| work_keys_str_mv | AT bgajdzik prognosticmodelingoftotalglobalsteelproduction |