149
Generalized least
squares (GLS)
yestimation
umumlashtirilgan еng kichik
kvadratlar
usuli
Goodness-of-fit
еgri chiziqni
to‗g`rilash sifati
Hazard rate
rad еtishlar intensivligi
Heteroscedasticity
geteroskedastlik
Homoscedasticity
gomoskedastlik
Idempotent matrix
idempotent matritsa
Independent
variable
bog`liq bo‗lmagan o‗zgaruvchi
Index function
indeks funksiya
Indirect least
squares
bavosita
еng kichik kvadratlao usuli
Information matrix axborot matritsasi
Instrumental
variable (IV)
instrumental o‗zgaruvchi
Intersept
ozod had (regressiya konstantasi)
Joint distribution
birgalikdagi taqsimot
Lag operator
lag
operatori (vaqt bo‗yicha surish operatori)
Lagged variable
kechikuvchi (lagli) o‗zgaruvchi
Latent variable
yashirin, kuzatilmaydigan o‗zgaruvchi
Law of large
numbers
katta sonlar qonuni
Likelihood function o‗xshashlik funksiyasi
Linear probability
model
еhtimollikning chiziqli modeli
Linear regression
model
chiziqli regressiya modeli
Logit model
logit-model‘, xatolikning logistik
taqsimotiga asoslangan
diskret (binar) bog`liq o‗zgaruvchili еgri chiziqli model‘
Loglikelihood
function
o‗xshashlik funksiyasi logarifmi
Marginal
distribution
marjinal taqsimot (chekli taqsimot), tasodifiy vektorning bir
yoki bir necha komponentlarining taqsimoti
Maximum
likelihood (ML)
maksimal o‗xshashlik usuli
Maximum
likelihood yestimate
maksimal o‗xshashlik usuli bilan baholash
150
Maximum
likelihood
yestimator
maksimal o‗xshashlik usuli
bahosi
Maximum score
yestimator
(MSCORE)
maksimal schet usuli bo‗yicha baholash
Mean
matematik kutilish (o‗rtacha qiymat)
Mean absolute
deviation
o‗rtacha absolyut chetalanish (og`ish)
Mean absolute
percentage yerror
o‗rtacha nisbiy chetlanish
Mean squared
yerror
O‗rtacha
kvadratik xato
Model for binary
choice
binar tanlovi modeli
Model for multiple
choice
ko‗plikdagi tanlov modeli
Model specification modelni spetsifikatsiya qilish
Moving average
o‗rtacha sirg`aluvchi usul
Moving average
(MA) model
o‗rtacha sirg`aluvchi model‘
Multicollinearity
mul‘tikollinearlik
Multiple regression
model
ko‗plikdagi regressiya modeli
Normal (Gaussian)
distribution
normal (Gauss) taqsimoti
OLS-estimator
еng kichik kvadratlar usuli bahosi
Ommited variable
o‗tkazib yuborilgan (modelga kiritilmagan) bog`liq
bo‗lmagan o‗zgaruvchi
Ordered data
tartiblangan ma`lumotlar
Ordinary least
squares (OLS)
method
еng kichik kvadratlar usuli
Panel data
panel (matritsali) ma`lumotlar, o‗z ichiga vaqtli qatorlar va
fazoviy ma`lumotlarni oladi
Partial
autocorrelation
function (PACF)
xususiy avtokorrelyatsiya funksiyasi
Partial correlation
coefficient
xususiy korrelyatsiya koеffitsiyenti
Probit model
probit-model‘, xatoligi normal taqsimotga asoslangan
151
diskret bog`liq o‗zgaruvchining еgri chiziqli modeli
Qualitative variable sifatli (sifat ko‗rsatkichiga еga)o‗zgaruvchi
Random utility
model
tasodifiy foydalilik modeli
Random walk
tasodifiy adashib qolish jarayoni
Ranking variable
ordinal, tartibli, rangli o‗zgaruvchi
Reduced form of
the model
modelning keltirilgan shakli
Residuals
regressiya qoldiqlari
Restricted
