45.0090.00

single dace

Daban-daban guda ashana bayar bi da rashin daidaito fara daga 1.5 har zuwa 3.8

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Football Single Match tsinkaya

Football Single Match tsinkaya ,a statistics, Hasashen ne wani ɓangare na ilimin kididdiga hasashe. Mun bayar da ku Tabbatar kwallon kafa tsinkaya tare da rashin daidaito har zuwa 3.00 tare da high kudi na iya aiki. A musamman m ga irin wannan hasashe ne da aka sani a matsayin gaibu hasashe, amma Hasashen za a iya Kanmu cikin wani na dama hanyoyin ilimin kididdiga hasashe. Lalle ne, daya zai yiwu bayanin statistics ne cewa shi na samar da hanyar canja wurin da ilmi game da wani samfuri na da wata alƙarya ga dukan yawan jama'ar, da kuma sauran related alƙarya, wanda ba dole ba ne wannan kamar yadda Hasashen kan time.Our daidai fare tips gwani tawagar yana daga cikin mafi kyau tipsters a kasuwa. Lokacin da bayanai da aka canjawa wuri a fadin lokaci, sau da yawa zuwa takamaiman maki a lokaci, kan aiwatar da aka sani a matsayin kiyasin.Kiyasin yawanci bukatar lokaci jerin hanyoyin, yayin Hasashen ne sau da yawa yi a kan giciye-bangaranci data.

Ilimin kididdiga dabaru amfani ga Hasashen hada da komawa da baya bincike da kuma ta daban-daban sub-Categories kamar mikakke komawa da baya, kowa yana da mikakke model (logistic komawa da baya, Poisson komawa da baya, Probity komawa da baya), da dai sauransu. A hali na kiyasin, auto regressive motsi talakawan model da vector auto komawa da baya model za a iya amfani. Lokacin da wadannan da / ko related, kowa yana da sa na komawa da baya ko inji koyo hanyoyin da ake jibge su a kasuwanci mai cutarwa, da filin da aka sani a matsayin gaibu analytics.

A da yawa aikace-aikace, kamar lokacin jerin analysis, yana yiwuwa a kimanta da model cewa samar da lura. Idan model za a iya bayyana a matsayin canja wurin ayyuka ko cikin sharuddan jihar-sarari sigogi sa'an nan smoothed, tace da annabta data kiyasta za a iya lasafta.Idan tamkar sa model ne mikakke sa'an nan a m-sãɓã wa jũna, Kalman tace da wani m-sãɓã wa jũna a smoother iya amfani warke data ban sha'awa daga m ma'aunai. Wadannan dabaru dõgara a kan daya-mataki-gaba predictors (wanda rage girman sãɓã wa jũna a cikin Hasashen kuskure). Lokacin da sa model ne maras mike sa'an nan stepwise linearizations iya amfani a cikin Fadada Kalman Filter tafiyar da al'amarin recursions. Duk da haka, a maras mike lokuta, ganiya m-sãɓã wa jũna a yi tabbacin daina nema.

Ka bi da kuma son mu:

ƙarin bayani

rashin daidaito

1.5+, 1.9+, 2.2+, 3+