Journal Title:South African Statistical Journal
The statistical system in South Africa has a history of nearly 100 years, but the time to truly meet the needs of all South Africans is relatively short. The establishment of the democratic political system in 1994 provided two alternative data production organizational models for the transformation of statistics in South Africa: one was to concentrate the production of most statistical data in a single institution, the National Statistical Organization (NSO), which was then called the Central Bureau of Statistics (CSS) and later renamed the South African Bureau of Statistics (Stats SA); Another type is decentralized production of statistical data, where other departments of the country produce statistical data based on their own professional fields. The final adopted model is a product of continuous evolution.
As the national statistical agency, Statistics South Africa (Stats SA) is not only responsible for collecting and publishing statistical data, but also undertakes the task of coordinating the production of statistical data across various departments of the country. The promulgation of the Statistics Act (No. 6 of 1999) had a milestone significance for South African statistical production, as it stipulated that the Director of Statistics was both the administrative head of the South African Bureau of Statistics and the coordinator of production statistics for various departments of the country.
南非的統(tǒng)計體系擁有將近100年的歷史,但真正滿足所有南非人需求的時間相對較短。1994年民主政治制度的建立為南非統(tǒng)計的轉(zhuǎn)型提供了兩種可供選擇的數(shù)據(jù)生產(chǎn)組織模式:一種是將大部分統(tǒng)計數(shù)據(jù)的生產(chǎn)集中在一個單一機構(gòu),即國家統(tǒng)計機構(gòu)(NSO),當(dāng)時稱為中央統(tǒng)計局(CSS),后來改為南非統(tǒng)計局(Stats SA);另一種是統(tǒng)計數(shù)據(jù)分散式生產(chǎn),即國家的其他部門根據(jù)自己的專業(yè)領(lǐng)域生產(chǎn)統(tǒng)計數(shù)據(jù)。最終采用的模式是通過不斷演變后的一個產(chǎn)物 。
南非統(tǒng)計局(Stats SA)作為國家統(tǒng)計機構(gòu),不僅負責(zé)收集和發(fā)布統(tǒng)計數(shù)據(jù),還承擔(dān)著協(xié)調(diào)國家各部門統(tǒng)計數(shù)據(jù)生產(chǎn)的任務(wù)?!督y(tǒng)計法》(1999年第6號)的頒布對南非統(tǒng)計生產(chǎn)具有里程碑式的意義,它規(guī)定了局長既是南非統(tǒng)計局的行政首長,也是國家各部門生產(chǎn)統(tǒng)計的協(xié)調(diào)人 。
South African Statistical Journal由South African Statistical Association出版商出版,收稿方向涵蓋STATISTICS & PROBABILITY全領(lǐng)域,平均審稿速度 ,影響因子指數(shù)0.4,該期刊近期沒有被列入國際期刊預(yù)警名單,廣大學(xué)者值得一試。
按JIF指標(biāo)學(xué)科分區(qū) | 收錄子集 | 分區(qū) | 排名 | 百分位 |
學(xué)科:STATISTICS & PROBABILITY | ESCI | Q4 | 158 / 168 |
6.3% |
按JCI指標(biāo)學(xué)科分區(qū) | 收錄子集 | 分區(qū) | 排名 | 百分位 |
學(xué)科:STATISTICS & PROBABILITY | ESCI | Q4 | 165 / 168 |
2.08% |
名詞解釋:
WOS即Web of Science,是全球獲取學(xué)術(shù)信息的重要數(shù)據(jù)庫,Web of Science包括自然科學(xué)、社會科學(xué)、藝術(shù)與人文領(lǐng)域的信息,來自全世界近9,000種最負盛名的高影響力研究期刊及12,000多種學(xué)術(shù)會議多學(xué)科內(nèi)容。給期刊分區(qū)時會按照某一個學(xué)科領(lǐng)域劃分,根據(jù)這一學(xué)科所有按照影響因子數(shù)值降序排名,然后平均分成4等份,期刊影響因子值高的就會在高分區(qū)中,最后的劃分結(jié)果分別是Q1,Q2,Q3,Q4,Q1代表質(zhì)量最高。
CiteScore | SJR | SNIP | CiteScore排名 | ||||||||||||
0.3 | 0.165 | 0.303 |
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名詞解釋:
CiteScore:衡量期刊所發(fā)表文獻的平均受引用次數(shù)。
SJR:SCImago 期刊等級衡量經(jīng)過加權(quán)后的期刊受引用次數(shù)。引用次數(shù)的加權(quán)值由施引期刊的學(xué)科領(lǐng)域和聲望 (SJR) 決定。
SNIP:每篇文章中來源出版物的標(biāo)準(zhǔn)化影響將實際受引用情況對照期刊所屬學(xué)科領(lǐng)域中預(yù)期的受引用情況進行衡量。
是否OA開放訪問: | h-index: | 年文章數(shù): |
未開放 | -- | 6 |
Gold OA文章占比: | 2021-2022最新影響因子(數(shù)據(jù)來源于搜索引擎): | 開源占比(OA被引用占比): |
85.71% | 0.4 | |
研究類文章占比:文章 ÷(文章 + 綜述) | 期刊收錄: | 中科院《國際期刊預(yù)警名單(試行)》名單: |
100.00% | SCIE | 否 |
歷年IF值(影響因子):
歷年引文指標(biāo)和發(fā)文量:
歷年自引數(shù)據(jù):
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