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ZENODO
Article . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
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MOLIYAVIY MASALALARDA GETEROSKEDASTIKLIKNING MOHIYATI VA AHAMIYATI

descriptionPublicationkeyboard_double_arrow_right Article 30 Jun 2026 Uzbek Publisher:openjurnal.uz

doi: 10.5281/zenodo.21186807

MOLIYAVIY MASALALARDA GETEROSKEDASTIKLIKNING MOHIYATI VA AHAMIYATI

Abstract

Ushbu maqolada ekonometrik modellarda tez-tez uchraydigan geteroskedastiklik muammosi sodda tilda tushuntirilgan. Moliyaviy va iqtisodiy ma'lumotlarni tahlil qilganda, xatoliklarning o'zgaruvchanligi regressiya natijalariga qanday ta'sir qilishi ko'rsatib berilgan. Maqolada bu hodisaning nima ekanligi, nima sababdan kelib chiqishi, iqtisodiy nuqtai nazardan qanday ma'no anglatishi va moliyada qanday namoyon bo'lishi bayon qilingan. Shuningdek, geteroskedastiklikni aniqlashning oddiy usullari (masalan, grafik, Breusch-Pagan va White testlari) va uni bartaraf etish yo'llari haqida ham so'z boradi.

Keywords

dispersiya, ekonometrika, Breusch-Pagan testi, Geteroskedastiklik, White testi, regressiya modeli, moliyaviy risk, eng kichik kvadratlar usuli, prognozlash

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average