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Msaidizi
Regression modelDistributional regression

Mifumo Additive ya Jumla kwa Mahali, Kiwango na Umbo (GAMLSS)

GAMLSS ni darasa pana la mifumo ya kurudi nyuma ya nusu-kiiwango iliyoanzishwa na Robert Rigby na Mikis Stasinopoulos mwaka 2005. Tofauti na kurudi nyuma kwa kawaida, ambayo huunda tu wastani wa jibu, GAMLSS huruhusu kila kigezo cha usambazaji wa kigezo uliochaguliwa — mahali (k.m., wastani), kiwango (k.m., utofauti), na umbo (k.m., upotoshaji, kurtosis) — kuundwa kama kitendaji cha jumla cha vigezo msaidizi. Hii huwezesha kunasa heteroscedasticity, upotoshaji, na mikia mizito kwa wakati mmoja ndani ya mfumo mmoja umoja.

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Mifumo Additive ya Jumla kwa Mahali, Kiwango na Umbo (GAMLSS)
Generalized Additive Mod…Regression ya Kiasi (Qua…

Vyanzo

  1. Rigby, R. A., & Stasinopoulos, D. M. (2005). Generalized additive models for location, scale and shape. Journal of the Royal Statistical Society: Series C, 54(3), 507–554. DOI: 10.1111/j.1467-9876.2005.00510.x

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ScholarGate. (2026, June 2). Generalized Additive Models for Location, Scale and Shape (GAMLSS). ScholarGate. https://scholargate.app/sw/statistics/gamlss

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ScholarGateGAMLSS (Generalized Additive Models for Location, Scale and Shape (GAMLSS)). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/statistics/gamlss · Seti ya data: https://doi.org/10.5281/zenodo.20539026